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WO2019030509A1 - Vêtement doté de capteurs - Google Patents

Vêtement doté de capteurs Download PDF

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Publication number
WO2019030509A1
WO2019030509A1 PCT/GB2018/052244 GB2018052244W WO2019030509A1 WO 2019030509 A1 WO2019030509 A1 WO 2019030509A1 GB 2018052244 W GB2018052244 W GB 2018052244W WO 2019030509 A1 WO2019030509 A1 WO 2019030509A1
Authority
WO
WIPO (PCT)
Prior art keywords
garment
control module
sensors
sensor
data
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Ceased
Application number
PCT/GB2018/052244
Other languages
English (en)
Inventor
Sukrit HOTRABHVANON
Hayden BALL
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Playerdata Holdings Ltd
Original Assignee
Playerdata Holdings Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Playerdata Holdings Ltd filed Critical Playerdata Holdings Ltd
Publication of WO2019030509A1 publication Critical patent/WO2019030509A1/fr
Anticipated expiration legal-status Critical
Ceased legal-status Critical Current

Links

Classifications

    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/68—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient
    • A61B5/6801—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient specially adapted to be attached to or worn on the body surface
    • A61B5/6802—Sensor mounted on worn items
    • A61B5/6804—Garments; Clothes
    • A—HUMAN NECESSITIES
    • A41—WEARING APPAREL
    • A41D—OUTERWEAR; PROTECTIVE GARMENTS; ACCESSORIES
    • A41D1/00—Garments
    • A41D1/002—Garments adapted to accommodate electronic equipment
    • A—HUMAN NECESSITIES
    • A41—WEARING APPAREL
    • A41D—OUTERWEAR; PROTECTIVE GARMENTS; ACCESSORIES
    • A41D13/00—Professional, industrial or sporting protective garments, e.g. surgeons' gowns or garments protecting against blows or punches
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/0002—Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/0002—Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network
    • A61B5/0004—Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network characterised by the type of physiological signal transmitted
    • A61B5/0006—ECG or EEG signals
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/0002—Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network
    • A61B5/0004—Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network characterised by the type of physiological signal transmitted
    • A61B5/0008—Temperature signals
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/0002—Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network
    • A61B5/0015—Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network characterised by features of the telemetry system
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/0002—Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network
    • A61B5/0015—Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network characterised by features of the telemetry system
    • A61B5/002—Monitoring the patient using a local or closed circuit, e.g. in a room or building
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/0002—Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network
    • A61B5/0015—Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network characterised by features of the telemetry system
    • A61B5/0022—Monitoring a patient using a global network, e.g. telephone networks, internet
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/0002—Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network
    • A61B5/0015—Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network characterised by features of the telemetry system
    • A61B5/0024—Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network characterised by features of the telemetry system for multiple sensor units attached to the patient, e.g. using a body or personal area network
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/103—Measuring devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
    • A61B5/11—Measuring movement of the entire body or parts thereof, e.g. head or hand tremor or mobility of a limb
    • A61B5/1112—Global tracking of patients, e.g. by using GPS
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/103—Measuring devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
    • A61B5/11—Measuring movement of the entire body or parts thereof, e.g. head or hand tremor or mobility of a limb
    • A61B5/1113—Local tracking of patients, e.g. in a hospital or private home

Definitions

  • Online platforms are available that allow sports coaches to collect data on their athletes from the athletes manually inputting data on training sessions or games. This data may include their perceived levels of performance or tiredness, or how well they understood a session. This eliminates a data collection step which would otherwise have to be carried out by the coaches. However, this data is only of limited scope, is inherently subjective and may not provide an accurate representation of the situation.
  • Wearable sensors have been utilised for some time in order to automatically collect data on athletes.
  • the data provided can be assessed by the coaches so they can analyse the performance of the athletes and tailor their training regimes accordingly to obtain the best results.
  • Wearable sensors have also been utilised in medical fields to provide information on patients to help improve diagnosis and treatment. These sensors could be worn for only a short time or over an extended period of time to get an accurate representation of the patient's health.
  • garments used for obtaining data about a user wearing the garments and a method of use of the garments. Aspects of the described garments and methods may help reduce the costs of manufacturing the garments, and/or maintain or improve the reliability, serviceability and lifespan of such garments.
  • a garment e.g. for obtaining data about a user, the garment comprising:
  • control module comprising a processing unit, such as a central processing unit (CPU), and/or a base unit configured to receive and/or accommodate a control module comprising a processing unit, and
  • processing unit such as a central processing unit (CPU)
  • base unit configured to receive and/or accommodate a control module comprising a processing unit
  • a plurality of sensors comprising at least one biomedical or other body monitoring sensor and comprising at least one positional sensor;
  • the garment is configured to communicate data collected by the sensors to the processing unit and/or the base unit.
  • the garment may be configured to communicate data collected by the one or more or each of the sensors through a physical connection to the processing unit and/or the base unit.
  • the physical connection may be or comprise a wire or wires (such as wires comprising a metal component), conductive threads, conductive fabrics, conductive polymer members, conductive coatings such as Indium Tin Oxide, or other electrically conductive connectors).
  • the processing unit may be configured to communicate the data, e.g. to an interrogating unit.
  • the data communication from the processing unit may be wireless data transfer or wired data transfer, e.g. using a cable plugged into the control module.
  • the interrogating unit may be or comprise a mobile phone or tablet or smartwatch, or other form of computer system.
  • the control unit may optionally be a dedicated unit, e.g. not a mobile phone.
  • the wireless data transfer may be or comprise WiFi and/or Bluetooth and/or cellular communication.
  • the wireless data transfer may be or comprise WiFi 802.1 1 n/ac on 2.4GHz and/or 5GHz.
  • the wireless data transfer may be or comprise Bluetooth 4.0, Bluetooth LE, and/or the like.
  • the control module may be selectively attachable and removable from the garment.
  • the control module may be selectively lockable or fixable, e.g. to the base unit.
  • the control module may be selectively unlockable or unfixable, e.g. so as to permit removal of the control module from the base unit.
  • the control module may be waterproofed, e.g. to at least IP02, IP06 or IP08 standards.
  • the electronics in the control module may be located in a sealed enclosure.
  • the enclosure may be sealed using seals such as grommets or O-rings.
  • the grommets or O-rings may be rubber.
  • the control module may be fixed or fixable into a slot on the base unit on the garment, e.g. using a latching mechanism or by a friction or interference fit.
  • the control module may be configured to operate with different types of sensors in the garment.
  • the control module may comprise a battery and/or power storage, which may be configured to power the processing unit.
  • the control module may comprise memory storage.
  • the control module may be configured to store data in the memory storage. This means that data may be held on the control module if there is not an available wired or wireless medium to send the data on.
  • the control module may comprise at least one power management regulator supplying at least one of 5V, 3.3V, 2.5V, 2V or 1.8V as required, e.g. from the battery or power storage and/or to at least the processing unit.
  • the control module may comprise at least one multiplexer. This may be an inter integrated circuit (I2C) multiplexer.
  • the processing unit may be or comprise a multicore, e.g. Quad core, processor.
  • the garment may comprise multiple layers of fabric. At least one of the sensors may be embedded between two layers of fabric.
  • the garment may comprise an upper garment and a lower garment.
  • the upper garment may cover at least part or all of the arms and/or torso of the user.
  • the bottom garment may cover at least part or all of the legs of the user.
  • the upper and lower garments may comprise a connector for selectively connecting the upper and lower garments together.
  • the connector may be selectively releasable to selectively disconnect the upper and lower garments.
  • the connector may comprise a power and/or data connector, which may provide for power and/or data transfer between the upper and lower garments.
  • the upper and lower garments may be magnetically connected together. This allows the upper and lower garment to be quickly pulled apart if required.
  • the connector e.g. the power and/or data connector, may be or comprise a magnetic connector. At least one of the sensors may be integrated into the garment.
  • the garment may be configured to communicate the data collected by the at least one or all of the sensors (e.g. sensors in the garment) through only the physical, e.g. wired, connection to the control module and/or the processing unit and/or the base unit. That is, there may be no wireless connection between the sensors and the control module and/or the processing unit and/or the base unit.
  • the data may be only communicated through the physical connection (e.g. a wire or wires) that travel the total distance between the sensors and the control module and/or the processing unit and/or the base unit.
  • the garment may be configured to communicate data collected by one or more of the sensors through a wireless connection (i.e. wirelessly) to the control module and/or processing unit and/or base unit.
  • sensors external to the garment may be configured to communicate data collected by the external sensors through a wireless connection (i.e. wirelessly) to the control module and/or processing unit and/or base unit.
  • the physical connection e.g. wire or wires
  • the physical connection may be integrated into the garment, e.g. woven, stitched or heat bonded into the garment. This makes the wires resilient against stretching or twisting.
  • the physical connection e.g. wire or wires
  • the physical connection may be integrated in a wave-like manner. This allows the wires to flex and stretch without breaking.
  • the garment may be washable.
  • At least one of the sensors may be waterproofed. At least one of the sensors may be enclosed by a waterproof covering.
  • the waterproof covering may be formed of a hydrophobic coating such as a silicon or epoxy or the like. This may protect a printed circuit board in the sensors from coming into contact with water or other liquids Interconnections between the sensors and the wires, and the wires and the control module may be waterproofed.
  • the garment may comprise a communication bus. At least one of the sensors may be configured to communicate with the processing unit through the communication bus.
  • At least one of the biomedical sensors may be or comprise an electrocardiogram (ECG) sensor.
  • ECG electrocardiogram
  • the ECG sensor may comprise three electrodes located at positions in the garment according to Einthoven's triangle.
  • the ECG sensor may comprise capacitive material embedded into the fabric of the garment.
  • the capacitive material may be biased into contact with the user due to compression provided by the garment material, e.g. due to the garment material being resiliently stretchable.
  • the control module may comprise a microcontroller unit (MCU).
  • the signals from the ECG sensor may be processed and filtered by the microcontroller unit (MCU) in the control module.
  • the MCU may be or may comprise an analog front end signal processing chip, such as a ADAS1000 ECG or a similar or equivalent analog front end signal processing chip.
  • the garment may comprise a protection circuit to prevent stray current reaching the user through the electrodes.
  • At least one of the biomedical sensors may comprise a photoplethysmogram (PPG) sensor.
  • the PPG sensor may be any reflectance based PPG sensor.
  • the biomedical sensor may be a hydration sensor.
  • At least one of the biomedical sensors may comprise a body temperature sensor.
  • the body temperature sensor may be embedded into the fabric of the garment.
  • the body temperature sensor may use the 1-Wire protocol to communicate with the processing unit.
  • the at least one of the positional sensors may be a location sensor which may be configured to determine a location of the positional sensor and/or wearer of the garment.
  • the location sensor may be configured to determine a speed or acceleration of the location sensor and/or wearer of the garment.
  • the positional sensors may be configured to receive signals from, and determine location relative to, one or more, e.g. three, four or more external beacons or transmitters.
  • the external beacons or transmitters may be, comprise or be comprised in satellite navigation system transmitters, such as constellation satellite transmitters such as GPS, GLONASS, Gallileo, Beidou-1/2, COMPASS, or similar constellation satellite transmitters.
  • the external beacons or transmitters may be, comprise or be comprised in one or more, e.g. two, three, four or more, local position beacons, which may be positioned spaced apart in or around an area of use, e.g. around a periphery or outer perimeter of an area of use.
  • the beacons or transmitters may be located at known positions, e.g. at the corners of a sports field or pitch. At least some of the beacons or transmitters may be terrestrial and/or may not be located on satellites.
  • the position determination sensors may be configured to receive packets from the external beacons or transmitters and may determine the location of the sensor from the time stamped packets.
  • the packets may be time stamped.
  • the time stamp may represent a transmission time of the packet from the respective beacon or transmitter.
  • the packets may comprise an identifier and/or location of the beacon or transmitter that sent the packet.
  • the control unit may be pre-provided with locations of the beacons or transmitters and may be configured to determine the location of the beacon or transmitter that sent a packet from the identifier received in the packet and the pre- provided position of the respective beacon or transmitter.
  • the position determination sensors may be configured to determine a location of the sensors, e.g. by triangulation or other means.
  • the control unit e.g. the processing unit of the control unit
  • the control unit may be configured to calculate distances between the external beacons or transmitters and the control module.
  • the control unit may be configured to determine a difference in time, e.g. a difference in time between the transmission time of the packet from the respective beacon or transmitter and a receiving time of the respective packet by the respective positional sensor.
  • the control unit may be configured to determine a location of the control unit at least partly based on the determined difference in time for one or more or each of the beacons or transmitters and/or the location of the respective beacon(s) or transmitter(s).
  • the control unit may be configured to determine a location of the control unit at least partly based on the time of flight, phase, phase shift and/or Doppler shift of the signals received from the external beacons or transmitters, or any combination thereof.
  • the beacons or transmitters may be configured to transmit the packets on "ultrawideband" a set of frequencies > 2.6GHZ.
  • the control unit may be configured to determine the location of the positional sensors using a combination of satellite navigation and signals received from the external beacons or transmitters.
  • At least one of the positional sensors may comprise a satellite navigation system sensor, such as a GPS, GLONASS, Gallileo, Beidou-1/2, or COMPASS sensor.
  • the positional sensor may comprise or be connected or coupled to a high gain directional antenna.
  • the satellite navigation system sensor may be, is located on or comprised in the control module.
  • the satellite navigation system sensor may be configured to use the National Marine Electronics Association (NMEA) message standard to communicate with the processing unit.
  • NMEA National Marine Electronics Association
  • the garment may be configured such that the satellite navigation system antenna may be located at the top of the control module casing, in use.
  • the garment may be configured such that the high gain directional antenna points to the zenith when the garment is worn by the user.
  • the control module may be configured to communicate with and/or receive positional data, e.g. data indicative of or useable to determine a position of the control module and/or garment relative to the at least one external reference satellite navigation system sensor, from the at least one external satellite navigation system sensor.
  • the control module may be configured to use Real Time Kinematics (RTK) in the determination of the position of the garment or control module, e.g. based on the data from one or more or each of the external beacons or transmitters and/or the at least one external satellite navigation system sensor and/or the satellite navigational system sensor. This can increase the positional accuracy over use of a satellite navigation system sensor alone, e.g. it can improve accuracy to the centimetre level.
  • RTK Real Time Kinematics
  • At least one of the positional sensors may comprise a motion capture sensor.
  • the motion capture sensor(s) may comprise a 3-axis accelerometer, a gyroscope and/or a magnetometer.
  • the motion capture sensor may be configured to use the inter integrated circuit (I2C) communication system to communicate with the processing unit.
  • the data from the motion capture sensor to the processing unit may be transferred in a quaternion format.
  • a software system is configured to use the data (e.g. quaternion output) from the motion capture sensor to produce a 3D model of the body position of the user.
  • the garment may comprise at least one of the motion capture sensors on at least one or each body area.
  • the garment may comprise at least one of the motion capture sensors on at least one or each limb area of one or more of each limb.
  • a limb area of a limb may be a part of the limb that moves relative to another part and/or is connected to another part via a joint. The precise location of the motion capture sensor may not be vital in order to capture the movement of the user.
  • the garment may comprise six or more motion capture sensors on the upper garment.
  • the garment may comprise four or more motion capture sensors on the lower garment.
  • At least one of the positional sensors may comprise an altitude sensor.
  • the altitude sensor may be located on or comprised in the control module.
  • the altitude sensor may output elevation or elevation gained or lost over time.
  • the altitude sensor may be a barometer.
  • the altitude sensor may be configured to use the inter integrated circuit (I2C) communication system to communicate with the processing unit.
  • I2C inter integrated circuit
  • a method of obtaining data about a user wearing a garment comprising:
  • the sensors comprising at least one biomedical sensor or other body monitoring sensor and comprising at least one positional sensor;
  • Communicating the data may be through a physical connection (e.g. a wire or wires) to the processing unit in the control module.
  • a physical connection e.g. a wire or wires
  • Communicating the data may be through a physical connection (e.g. a wire or wires) to the processing unit in the control module.
  • a plurality of sensors comprising at least one biomedical sensor or other body monitoring sensor and comprising at least one positional sensor;
  • control module comprising a processing unit
  • the assembly is configured to communicate data collected by the sensors to the processing unit.
  • the assembly may be configured to communicate data collected by the sensors through a physical connection (e.g. a wire or wires) to the processing unit.
  • the control module may be selectively attachable and removable from the garment.
  • the garment may be a garment according to the first aspect.
  • the control module may be or comprise the control module described in relation to the first aspect.
  • a control module e.g. for obtaining data about a user, the control module comprising:
  • processing unit is configured to receive data, the data being collected by a plurality of sensors comprising at least one biomedical sensor or other body monitoring sensor and comprising at least one positional sensor in a garment.
  • the processing unit may be configured to receive data communicated through a physical connection (e.g. a wire or wires).
  • a physical connection e.g. a wire or wires.
  • a computer program product comprising instructions which, when the program is executed by a processing unit, cause the processing unit to carry out the steps of the method of the second aspect.
  • a garment e.g. for obtaining data about a user, the garment comprising:
  • control module comprising a processing unit and/or a base unit configured to accommodate a control module comprising a processing unit
  • At least one biomedical sensor or other body monitoring sensor at least one biomedical sensor or other body monitoring sensor
  • the garment is configured to communicate data collected by the sensors to the processing unit and/or base unit.
  • the garment may be configured to communicate data collected by the sensors through a physical connection (e.g. a wire or wires) to the processing unit and/or the base unit.
  • a physical connection e.g. a wire or wires
  • a garment e.g. for obtaining data about a user, the garment comprising:
  • control module comprising a processing unit and/or a base unit configured to accommodate a control module comprising a processing unit
  • a system comprising a garment according to the first and/or eighth aspect and one or more external beacons or transmitters, wherein the at least one positional sensor of the garment is configured to receive signals from the at least one external beacons or sensors.
  • the control module may be configured to determine the location of the garment, at least in part based on the received signals.
  • the received signals may comprise a time stamp indicating a time of transmission of the signal.
  • the received signal may comprise a beacon or transmitter identifier and/or a beacon or transmitter location.
  • the beacons or transmitters may be positioned spaced apart in or around an area of use, e.g. around a periphery or outer perimeter of an area of use.
  • the garment may be configured to communicate data collected by the sensors through a physical connection (e.g. a wire or wires) to the processing unit and/or the base unit.
  • a physical connection e.g. a wire or wires
  • Figure 1A shows a schematic diagram of an upper and lower garment worn by a user shown from the front
  • Figure 1 B shows a schematic diagram of an upper and lower garment worn by a user shown from the back;
  • Figure 2A shows a schematic diagram of a wire in an un-stretched garment
  • Figure 2B shows a schematic diagram of a wire in a stretched garment
  • Figure 3 shows a schematic diagram of a control module.
  • Figure 4 shows a schematic diagram of the hardware layout of the control module and sensors.
  • Figure 5 shows a flowchart of the method of use of the garment.
  • Figure 6 shows an additional or alternative position determination system. Description of Specific Embodiments
  • Figure 1A shows a schematic example of a garment 10 worn by a user 12.
  • Figure 1A shows the user 12 from the front, i.e. the user's face 12A is shown.
  • the garment comprises an upper garment 10A and a lower garment 10B.
  • the upper garment 10A is a piece of clothing worn on the top half of the user's body (i.e. covering their arms and torso), such as a t-shirt, jacket, jumper or jersey.
  • the lower garment 10B is a piece of clothing worn on the bottom half of the user's body (i.e. covering their legs), such as shorts or trousers.
  • the upper and lower garments 10A, 10B may be a one piece suit.
  • a plurality of sensors 14 are provided with the upper and lower garments 10A, 10B.
  • the sensors 14 may be integrated into the garment 10, embedded into the garment 10 or located on the garment 10. In some examples, the sensors 14 may be permanently fixed into the garment 10. In other examples, the sensors 14 can be removable from the garment 10.
  • the garment 10 comprises two layers of fabric. At least some of the sensors 14 are embedded between the two layers of fabric to hold them in position.
  • the garment 10 may comprise a single layer of fabric upon which the sensors 14 are affixed. This could be, for example, sewn into pockets formed on the fabric.
  • the garment comprises multiple layers of fabric.
  • the sensors 14 are connected by wires 16 (shown in dotted lines) to a base unit 17 for receiving a control module 18 (see Figure 1 B).
  • a control module 18 see Figure 1 B.
  • the wires 16 travel the total distance from the sensors 14 to the base unit 17. That is, there is no wireless connection between the sensors 14 and the base unit 17. This means that the data collected by the sensors 14 is communicated only through a wired connection to the base unit 17. In other examples, the wires 16 may travel the total distance to the control module 18.
  • the wires 16 may be considered to be any form of physical connection that allows electrical data to be transmitted, e.g. a wire or wires comprising a metal component, conductive threads, conductive fabrics (e.g. forming part of the garment 10), conductive polymer members, conductive coatings such as Indium Tin Oxide, or other electrically conductive connectors.
  • the base unit 17 is configured to communicate with the control module 18 when the control module 18 is docked therein.
  • the connectors may be suitably sealed or shuttered.
  • the base unit 17 and control module 18 are configured to wirelessly communicate.
  • the wires 16 are integrated into the garment 10. They may be woven or stitched into the garment 10. They are sandwiched between two layers of fabric in the garment 10 to hold them in position. This makes the wires 16 resilient against stretching or twisting.
  • Figure 2A shows the wire 16 integrated into the un-stretched garment 10 in a 'wavelike' manner. This means the wires 16 are resiliently biased into at least a partial serpentine pattern through the garment 10 between the sensors 14 and the control module 18, i.e. not in a straight line but optionally partly doubling back on itself at some points. This allows the wires 16 to flex and stretch without breaking.
  • Figure 2B shows the wire 16 in a garment 10 which has been stretched.
  • any movement by the user 12 which pulled the sensor 14 further away from the control module 18 may cause damage.
  • having the wires 16 integrated in a wave-like manner means there is leeway for the wires 16 to straighten to accommodate movement by the user 12, e.g. when the garment 10 is stretched.
  • the wires may be associated or integrated in the garment in another way.
  • the upper garment 10A and the lower garment 10B are magnetically connected together using three magnetic couplers 19A, 19B, 19C. This allows the upper and lower garment 10A, 10B to be pulled apart quickly if required. In other examples, there may be more or less than three magnetic couplers. In other examples, the upper and lower garment 10A, 10B may be connected by another means (such as mechanical clips) or not connected.
  • One or more of the sensors 14 are biomedical sensors. Biomedical sensors provide data on the biological condition of a user, e.g. the health, fitness, vital signs and work rate of the body.
  • One or more of the sensors 14 are positional sensors. Positional sensors provide data on the location of an item, e.g.
  • the sensors 14 are shown on the front of the user 12 in Figure 1A, this is purely for illustrative purposes and, in other examples, the sensors could be positioned on the back of the user 12. Furthermore, the locations of the sensors 14 on the garment worn by the user 12 shown in Figure 1A are for illustrative purposes and not essential. In other examples the sensors 14 may be located at different locations on the garment 10, e.g. on other limbs or areas of the body of the user 12.
  • the shapes of the sensors 14 depicted in the figures are also purely illustrative and in practice the sensors 14 may be different shapes.
  • At least one of the sensors 14 comprise an electrocardiogram (ECG) sensor 20.
  • ECG electrocardiogram
  • the ECG sensor 20 comprises three electrodes 20A located at positions on the garment 10A. The placement of these three electrodes 20A follows Einthoven's triangle. Einthoven's triangle has electrodes located at the left arm (LA), right arm (RA) and left leg (LL) positions.
  • two electrodes 20A are located at the position of the garment 10A corresponding to the left and right chest of the user 12 and the other electrode 20A at the position of the garment 10A corresponding to the left side of the lower torso of the user 12.
  • the ECG electrodes 20A could be located at other positions on the garment 10, for example, one of the electrodes 20A could be located on the left leg (LL) of the garment 10B.
  • the ECG sensor 20 provides medical grade heart rate data.
  • the ECG sensor electrodes 20A are non-contact and use capacitance.
  • Conductive material embedded into the fabric of the garment 10 is used to form the pads of these electrodes 20A to capture the data for LEAD I, II and III ECG processing.
  • the electrode pads are large enough so that movement artefacts are minimised when the user 12 moves.
  • a typical pad size is 3x3 cm.
  • the capacitive material is biased into contact with the user 12 when the user 12 is wearing the garment 10 due to the compression provided by the garment material.
  • the compression is provided by the garment 10 material being resiliently stretchable.
  • the garment 10 may be made from a varying mix of materials, for example, Merino Wool, Polyester, Silk, Polypropylene and Spandex.
  • the exact mixes depends on the use of the garment, i.e. hot/cold base layer, levels of compression etc. In other examples, different material may be used.
  • the garment 10 includes a protection circuit (not shown) to prevent stray current from reaching the user 12 through the electrodes 20A. In this example, there is a ground connector (not shown) located near the bottom of the garment 10A. In other examples, the ECG sensor could take a different form with a different number of electrodes and/or way they are integrated in the garment.
  • the wires 16 communicate the data captured by the electrodes 20 to the control module 18. That is, signals from the electrodes 20A are sent along the wires 16 to the control module 18.
  • At least one of the sensors 14 comprise a photoplethysmogram (PPG) sensor 22.
  • PPG photoplethysmogram
  • a PPG is an optically obtained plethysmogram, which is a volumetric measurement of an organ.
  • a PPG can be used to measure e.g. breathing, hypovolemia (volume of blood) and other circulatory conditions.
  • the PPG sensor 22 gives an additional heart rate metric and provides a measure of SP0 2 , an estimate of oxygen in the blood.
  • the PPG sensor 22 is located at the cuff area of the left arm (LA) of the garment 10, but it may be located at any cuff area on the garment 10. However, this is for illustrative purposes only and in other examples the PPG sensor could be located at a different position of the garment.
  • the wires 16 communicate the data captured by the PPG sensor 22 to the control module 18.
  • the signals from the PPG sensor 22 are sent along the wires 16 to the control module 18.
  • the PPG sensor may be any reflectance based PPG sensor.
  • a hydration sensor For example, a hydration sensor.
  • the reflectance technique could be used to measure pulse, blood o2 and/or hydration depending on the wavelength of light targeted.
  • At least one of the sensors 14 comprise a body temperature sensor 24. This is a biomedical sensor.
  • the body temperature sensor 24 is embedded into the fabric of the garment. It may be bonded to the garment 10, such as being sewn/stitched in place or attached by adhesive (such as glue).
  • the body temperature sensor 24 is a thermocouple.
  • the body temperature sensor may be of a different type, such as a thermistor or using infrared.
  • the body temperature sensor 24 is located at the position of the garment corresponding to the right side of the torso of the user 12, near a location corresponding to the armpit of the user.
  • this is for illustrative purposes only and in other examples the body temperature sensor 24 could be located at a different position of the garment.
  • the body temperature sensor may be located anywhere on the torso of the user.
  • the wires 16 communicate the data captured by the body temperature sensor 24 to the control module 18.
  • the signals from the body temperature sensor 24 are sent along the wires 16 to the control module 18.
  • At least one of the sensors 14 comprise a motion capture sensor 26.
  • the garment 10 has six motion capture sensors 26A on the upper garment 10A.
  • the garment has four motion capture sensors 26A on the lower garment 10B.
  • the sensors 26A are located at the left arm (LA), right arm (RA), left leg (LL), right leg (RL) and torso positions of the garment 10. That is, the garment 10 has one motion capture sensor 26A per body area of the user 12.
  • the body area is e.g. an upper torso, lower torso, a limb area, or some other part of the body that is movable relative to another part.
  • a limb area of a limb is a part of the limb that moves relative to another part and/or is connected to another part via a joint, such as an upper arm, lower arm, lower leg or upper leg. This is the minimum for full body capture but in other examples, there could be more or less motion capture sensors as required by the circumstances.
  • the motion capture sensors 26A will be bonded to the fabric of the garment 10. This may be by e.g. adhesive or by stitching. In other examples, the garment 10 may have any number of motion capture sensors 26A.
  • a system is configured to use the data from the motion capture sensors 26A to produce a 3D model of the body position of the user 12.
  • the sensors 26A only need to be located on the desired side of the limb and motion capture is achieved by measuring angles between the body areas.
  • This method of motion capture means that the precise location of the motion capture sensor 26A on the area of the garment 10 for the body area is not vital in order to capture the movement of the user 12.
  • movement of the garment e.g. the sleeve on the arm rolling up further etc.
  • This is particularly important where precise motions are carried out again and again, such as in archery or golf.
  • Each motion capture sensor 26A comprises a 3-axis accelerometer, a gyroscope and a magnetometer. These measure acceleration, orientation and magnetism (i.e. for a compass reading) respectively. In other examples, the motion capture sensor 26A may comprise only one or two of these options.
  • control module 18 is shown located on garment 10A on the back of the user 12. In other examples, the control module 18 may be located in another location on the garment 10.
  • the control module 18 is removable from the garment 10A. That is, the control module 18 is a separate component and is removable from the base unit 17 in the garment 10A having a slot (not shown) upon which the control module 18 can be fitted.
  • the control module 18 is selectively lockable or fixable to the base unit 17.
  • the control module 18 is selectively unlockable or unfixable so as to permit removal of the control module 18 from the base unit 17.
  • the garment 10 and the control module 18 can be considered to be an assembly. Although it is described that the control module 18 can be considered to be a separate component from the garment 10 (and thus form an assembly with the garment 10), the control module 18 may also be considered to be a component of the garment 10. In other examples, the control module 18 may be permanently fixed to the garment 10.
  • the base unit 17 is configured to accommodate the control module 18.
  • the control module 18 is fixed into the slot on the base unit 17 using a latching mechanism (not shown). Latches will lock onto the control module 18 as it is pushed into the slot to fix it in place. To release the control module 18, a spring loaded button will be pressed to release the latches.
  • the control module could be fixed into the slot in other ways, such as by a friction fit. In this case, the coefficient of friction will hold the control module onto the abutting surfaces of the slot.
  • the control module 18 being removable means that different control modules 18 can be plugged into different garments 10. These garments 10 may have different combinations of sensors 14.
  • the removable control module 18 is configurable with different types of sensors 14 in different garments 10. That is, the removable control module 18 can be plugged into a garment 10 with a different configuration of sensors 14 which gives modular flexibility of use. For example, a swimmer may have full motion capture and ECG in a garment 10 (e.g. swimsuit), but a footballer may just have an upper garment 10A with ECG and PPG. This modularity allows customizability and the ability for a user 12 to own many garments 10 and have a single control module 18, picking the garment 10 required based on the use or sport.
  • control module 18 is removable. That is, if a new version of the control module 18 is released (e.g. the older version is updated), then users can plug this newer version into their existing garments 10.
  • control module 18 being removable also means that the garment 10 can be washed without affecting the components on the control module 18. Further, the control module 18 can be removed to be charged so this does not restrict the use of the garments 10 awaiting charging.
  • the control module 18 is waterproofed.
  • the electronics in the control module 18 are located in a sealed enclosure (not shown).
  • the enclosure is sealed to stop water (or other liquid) from entering the enclosure using rubber grommets or O-rings. This protects the electronics in the control module 18 from damage from water or other liquids during use, such as when it is raining outdoors.
  • the sensors 14 are also waterproofed so that they will not become damaged when the garment 10 is in wet conditions or is being washed.
  • the waterproofing is achieved by surrounding the sensors 14 in a waterproof covering (e.g. a gel type bubble) made from a waterproof material such as silicon or epoxy (not shown). This will protect the printed circuit board in the sensors 14 from coming into contact with water or other liquids.
  • the waterproofing of the sensors may be carried out in a different way.
  • the material of the sensors themselves may be waterproofed or they may be contained within another component such as the control module itself.
  • the interconnections between the sensors 14 and the wires 16; and the wires 16 and the control module 18 are also made waterproof in the same way as the sensors 14. That is, they are covered in a waterproof layer, such as a silicon or epoxy covering (not shown).
  • the wires 16 can be insulated individually.
  • FIG. 3 shows a schematic diagram of the control module 18 with several components of the control module 18 omitted for clarity.
  • a circuit board 28 is located in the control module 18. Further sensors 14 are shown located on the circuit board 28.
  • At least one of the sensors 14 comprises a positional sensor such as a satellite navigation system sensor and/or a sensor for receiving signals from one or more external reference beacons located around or within an operational area, such as a sports pitch (see Figure 6).
  • the positional sensor is in the form of a GPS sensor 30 located on the circuit board 28.
  • GNSS global navigation satellite system
  • GLONASS Galileo
  • Beidou another global navigation satellite system
  • An antenna 32 for receiving the signals from the satellite and/or from the local transmitters may be located at the top of the control module casing 18A with respect to the orientation of the user 12 (i.e. the top of the casing 18A of the control module 18 is at the end of the control module 18 nearest the head of the user 12 when the garment 10 is being worn).
  • the antenna 32 is a high gain directional antenna which is configured to point to the zenith when the garment 10 is worn by the user 12.
  • GPS generally has an accuracy of +/- 3m in standard use.
  • At least one (e.g. three, four or more) external reference beacons 34 (at a known fixed location) is provided.
  • the control module 18 is configured to communicate with and/or receive positional data, e.g. data indicative of or useable to determine a position of the control module 18 and/or garment 10 relative to the at least one external reference beacons 34, from the at least one external reference beacons 34. This allows the use of Real Time Kinematics (RTK) to increase accuracy.
  • RTK Real Time Kinematics
  • the control module 18 is configured to use RTK in the determination of the position of the garment 10 or control module 18, e.g. based on the data from the at least one external reference beacons 34 and/or the satellite navigational system sensor 30.
  • the external reference satellite navigation system sensor 34 wirelessly sends out corrections to the moving control module 18. By utilising these corrections, the GPS system can fix the position of the antenna 32 to within about 1 - 2cm.
  • the technique involves the measurement of the carrier phase of the satellite signal, which is then subject to statistical methods to align the phase of these signals to eliminate the majority of normal GPS type errors.
  • the positional data captured by the positional sensor, e.g. the GPS sensor 30 is communicated to the control module 18 because the GPS sensor 30 is located on the same circuit board 28 as the CPU 42. In other examples, the GPS sensor 30 may be located on another circuit board and connected to the CPU 42 through wires.
  • At least one of the sensors 14 comprises an altitude sensor 38. This is a positional sensor.
  • the altitude sensor 36 is located on the circuit board 28 of the control module 18.
  • the altitude sensor 36 is a barometer.
  • the altitude data captured by the altitude sensor 36 is communicated to the control module 18 because the altitude sensor 36 is located on the same circuit board 28 as the CPU 42. In other examples, the altitude sensor 36 may be located on another circuit board and connected to the CPU 42 through wires. The data provided by the altitude sensor 36 is a measure of the amount of elevation gained or lost over time. In other examples, the altitude sensor 36 may be located on another circuit board and connected to the CPU 42 through wires
  • FIG. 4 shows a schematic diagram of the hardware layout of the control module 18 and sensors 14.
  • the control module 18 comprises a battery 38 which is used to power the hardware.
  • Power management regulators (not shown) provide one or more voltage outputs, e.g. a 5V, 3.3V, 2.5V and/or 1.8V output, as required by the various electrical systems.
  • Memory storage 40 is provided in the control module 18. This is for storing programming commands used to run the control module 18 and allow the garment 10 to function as required. In other examples, the memory storage 40 may be used to hold data captured from the sensors 14 until the data can be transferred using a cable plugged into the control module 18 or any wireless medium.
  • a processing unit such as a central processing unit (CPU) 42 is located on the circuit board 28.
  • a quad core processor such as the Raspberry Pi CM3 Module
  • the sensors 14 communicate with the CPU 42 through communication buses as described below.
  • the signals from the ECG sensor electrodes 20A are processed and filtered by a microcontroller (MCU) 44 in the control module 18.
  • the MCU 44 provides output for digital polling based on analogue signals received by the MCU 44 from the ECG sensor electrodes 20A via respective analogue leads.
  • the MCU 44 polls the three analogue leads, processes the data, and then the CPU 42 polls the MCU 44 for the processed information via the SPI protocol.
  • the MCU 14 is an ADAS1000 front end chip. In other examples, the MCU may be another type of chip.
  • the signals from the PPG sensor 22 are passed to the control module 18 over an inter integrated circuit (I2C) bus.
  • I2C multiplexer 46 is located in the control module 18 to manage the data from the PPG sensor 22.
  • the body temperature sensor 24 uses the 1-Wire protocol to communicate with the CPU 42.
  • the motion capture sensors 26A uses the I2C communication system to communicate with the CPU 42.
  • the data from the motion capture sensors 26A to the CPU 42 is transferred in a quaternion format.
  • Two I2C multiplexers 46 in the control module 18 are required to manage the multiple I2C based motion capture sensors 26A.
  • the multiplexers 46 select one of the several input signals to forward into a selected line.
  • GPS sensor 30 is shown in “sensors in-built to the garment" block in Figure 4, the GPS sensor 30 is located in the control module 18.
  • the GPS sensor 30 uses the NMEA message standard to communicate with the CPU 42. The messages are parsed and then relayed down the communication chain.
  • the GPS sensor may be located in the garment, outside of the control module.
  • the altitude sensor 36 also communicates with the CPU 42 using the I2C communication system.
  • the I2C multiplexer 46 manages the data from the altitude sensor 36. In other examples, different communication systems may be used to transfer the data from the sensors to the control module.
  • the I2C multiplexers and a particular method of addressing each sensor 14 are used so that the sensors 14 can be in wired together in a sequence or in a ring (i.e. in a "daisy chain") to share connections. This reduces the number of wires 16 that need to be on the garment 10. Wiring the sensors 14 in a non-traditional way (i.e. not one set of wires per sensor) means that the wires 16 can all be fitted on the garment 10.
  • the control module 18 includes wireless data transfer components.
  • the wireless data transfer components provide onward communication from the CPU 42 once the CPU 42 has received and processed the signals from the sensors 14.
  • the onward communication from the wireless data transfer components 48 may be WiFi, Bluetooth or cellular communication (e.g. 3G, 4G, 5G) as required by the circumstances.
  • the wireless data transfer components are two wireless chips 48 which are: WiFi 802.1 1 n/ac on 2.4 GHz and 5 GHz; and Bluetooth 4.0.
  • the data may be transmitted wirelessly from the control module 18 in real time or the data may be held in the memory storage 40 of the control module 18 until it can be transmitted wirelessly.
  • the onward communication may be through a cable (not shown) plugged into the control module 18 so that the data does not need to be transmitted wirelessly.
  • the onward communication is to an interrogating unit, e.g. servers 50 which hold and process the data so it can be viewed in the required form by a user. This may be through an interface, such as a computer screen. The user can then view information on the screen which has been collated from the data collected from the sensors 14 in the garment 10.
  • the user 12 chooses the garment 10 required for the circumstances, e.g. the user 12 can choose just a upper garment 10A or choose a full suit (a combined upper garment 10A and lower garment 10A).
  • the removable control module 18 is then fixed into the slot in the base unit 17 in the garment 10A.
  • the user 12 then exercises or carries out their normally daily routines wearing the garment 10.
  • FIG. 5 shows a flow diagram of the method of use of the garment 10.
  • the user inserts the control module 18 into the slot in the base unit 17.
  • the user turns on the control module 18 and the battery 38 in the control module 18 powers the necessary electrical systems.
  • the sensors 14 in the garment 10 measure the particular values that they are designed to detect (such as biomedical and positional data).
  • the sensors 14 then continually, or periodically, send the signals through the wires 16 to the base unit 17 and control module 18. These signals are communicated through the relevant communication bus. These signals may be filtered or processed as required by additional components in the control module 18 such as the MCU 44 or the multiplexers 46.
  • the signals are then communicated to the CPU 42 in the control module 18 which processes the signals and prepares them for onward communication.
  • the data is then communicated wirelessly from the CPU 42 to the servers 50 which are external to the garment 10 and control module 18.
  • the sensors 14 do not need to transmit wirelessly themselves as the wireless transmission away from the garment 10 is carried out centrally by the control module 18. This reduces the complexity of the sensors 14 as they do not need the components to be able to transmit wirelessly. This leads to a reduced manufacturing cost and a simplicity of design which can help avoid failure of components. Furthermore, the sensors 14 can be made smaller which means the garments 10 can be made more comfortable to wear. This can be particularly important if the garments 10 need to be worn during a long period of time or when performing challenging movements.
  • the CPU 42 Once the CPU 42 has received the signals they are then sent to the servers 50 wirelessly as described above.
  • This onward communication is done in real time so that a coach or health professional can obtain accurate up to date information on the health and performance of the user 12.
  • this allows the coach to modify the training accordingly to maximise effectiveness.
  • this allows the health professional to take any necessary steps as are required, such as treatment or further tests, in a timely manner.
  • the hardware in the garment 10 automatically collects data from the users 12. This removes the user data input step required in an online platform that allows sports coaches to collect data on their athletes.
  • the sensors 14 can track the users' physiological status and body movements and this data can then be recorded.
  • the data can be assessed by the coaches so they can analyse the performance of the athletes (users) and tailor their training regimes accordingly to obtain the best results.
  • the garment 10 and associated hardware could be used in any movement based sport; individual and team.
  • the garment 10 allows a user 12 to replay their sporting action so they can see their technique to make improvements.
  • This particular feature is generic across all movement based sports where technique plays a pivotal role in the performance. Examples include Running, Cycling, Rowing, Tennis, Fencing, Archery etc.
  • the garment 10 being lightweight and inexpensive, and still providing medical grade measurements, means that measurements can be provided over a long period of time and the patient does not need to be at a medical establishment to have the readings taken.
  • the garments 10 can also be used in remote monitoring of a patient with data provided by the garments 10 being used to indicate if the patient needs urgent attention, such as, for example, if they have fallen and been injured.
  • one possible arrangement comprises a plurality (e.g. two, three, four or more) of external reference beacons 34'.
  • the external reference beacons 34' are provided in spaced apart locations around an outer perimeter of an operating area, e.g. at each of the corners of a sports pitch, as shown in Figure 6, but the present invention is not limited to this arrangement.
  • the beacons 34' transmit signals using the "ultrawideband" a set of frequencies > 2.6GHZ.
  • Each beacon 34' transmits data packets comprising a time stamp indicating the transmission time of the data packet and an identifier for the transmitting beacon 34'.
  • the control module 18 is pre-provided with exact positions of each of the beacons 34' that allows it to determine the location of each beacon 34' from the beacon identifier comprised in the signal.
  • the beacon identifier comprises the beacon location.
  • beacon based approach may provide a beneficial level of accuracy, robustness and/or computational efficiency.
  • the above techniques can be used to provide a high degree of location accuracy, e.g. down to cm levels of accuracy.
  • This level of positional accuracy when combined with the physiological or biomedical monitoring sensors provided by the garment is particularly beneficial in activity performance monitoring systems, as it can provide not just an indication of the physiological or biomedical state of a wearer (e.g. a state indicating they are tired) but also the correlation of the determined physiological state with the highly accurate location data may allow a better analysis of why the wearer is tired, e.g. because they have moved a particular amount in a given time, which includes small scale movements that are too small to be picked up on a system that relies on satellite positioning alone.
  • This may be particularly beneficial in systems that automatically determine high level metrics from the positional and/or physiological data for convenient presentation to a monitoring user, e.g. for inclusion in a dashboard or "traffic light" or graphical metric graphical user interface or the like.
  • the accurate positional data derived from the above technique and physiological data provide an option to reconstruct a game or session without the use of any cameras. This allows a coach to re-watch the game or session as if it was recorded with cameras from any angle, and optionally with physiological data correlated to the location data.
  • combining the high accuracy position obtained using the above method, with physiological performance data and technique may give a complete physiological picture of an athlete.

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Abstract

L'invention concerne un vêtement comprenant un module de commande comprenant une unité de traitement et/ou une unité de base configurées pour recevoir et/ou accueillir un module de commande comprenant une unité de traitement, et une pluralité de capteurs comprenant au moins un capteur de surveillance de corps biomédical ou autre et comprenant au moins un capteur de position ; au moins un des capteurs de position étant configuré pour recevoir des signaux provenant d'une pluralité de balises externes, au moins l'une des balises externes étant une balise terrestre et/ou au moins l'une des balises externes étant une balise satellitaire ; le vêtement étant conçu pour communiquer des données collectées par les capteurs à l'unité de traitement et/ou à l'unité de base.
PCT/GB2018/052244 2017-08-07 2018-08-06 Vêtement doté de capteurs Ceased WO2019030509A1 (fr)

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GB1712667.3 2017-08-07
GBGB1712667.3A GB201712667D0 (en) 2017-08-07 2017-08-07 Garment with sensors

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WO2019030509A1 true WO2019030509A1 (fr) 2019-02-14

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Citations (5)

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Publication number Priority date Publication date Assignee Title
EP2505090A2 (fr) * 2011-03-31 2012-10-03 Adidas AG Vêtement avec capteur
EP2654030A1 (fr) * 2012-04-13 2013-10-23 Adidas AG Procédés et systèmes de surveillance d'activité athlétique pouvant être portés
US20150148619A1 (en) * 2013-11-23 2015-05-28 Athos Works, Inc. System and Method for Monitoring Biometric Signals
WO2016128778A2 (fr) * 2015-02-13 2016-08-18 Mas Innovation (Pvt) Limited Vêtement intelligent pour course
WO2017120367A1 (fr) * 2016-01-05 2017-07-13 Wearable Experiments Inc. Systèmes et procédés pour vêtements de sport intelligents

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US9767257B2 (en) * 2011-03-31 2017-09-19 Adidas Ag Group performance monitoring system and method
US20120258433A1 (en) * 2011-04-05 2012-10-11 Adidas Ag Fitness Monitoring Methods, Systems, And Program Products, And Applications Thereof
JP6306833B2 (ja) * 2012-07-06 2018-04-04 アディダス アーゲー グループパフォーマンスモニタリングシステムおよび方法
US10376169B2 (en) * 2015-03-24 2019-08-13 Zoll Medical Corporation Systems and methods of determining location using a medical device

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EP2505090A2 (fr) * 2011-03-31 2012-10-03 Adidas AG Vêtement avec capteur
EP2654030A1 (fr) * 2012-04-13 2013-10-23 Adidas AG Procédés et systèmes de surveillance d'activité athlétique pouvant être portés
US20150148619A1 (en) * 2013-11-23 2015-05-28 Athos Works, Inc. System and Method for Monitoring Biometric Signals
WO2016128778A2 (fr) * 2015-02-13 2016-08-18 Mas Innovation (Pvt) Limited Vêtement intelligent pour course
WO2017120367A1 (fr) * 2016-01-05 2017-07-13 Wearable Experiments Inc. Systèmes et procédés pour vêtements de sport intelligents

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