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WO2004028365A2 - Procede et dispositif permettant de determiner un profil de sommeil - Google Patents

Procede et dispositif permettant de determiner un profil de sommeil Download PDF

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Publication number
WO2004028365A2
WO2004028365A2 PCT/DE2003/003086 DE0303086W WO2004028365A2 WO 2004028365 A2 WO2004028365 A2 WO 2004028365A2 DE 0303086 W DE0303086 W DE 0303086W WO 2004028365 A2 WO2004028365 A2 WO 2004028365A2
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WO
WIPO (PCT)
Prior art keywords
electrode
electrodes
signals
signal
head
Prior art date
Application number
PCT/DE2003/003086
Other languages
German (de)
English (en)
Other versions
WO2004028365A3 (fr
Inventor
Bernd Schöller
Matthias Schwaibold
Original Assignee
MCC Gesellschaft für Diagnosesysteme in Medizin und Technik mbH & Co. KG
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 MCC Gesellschaft für Diagnosesysteme in Medizin und Technik mbH & Co. KG filed Critical MCC Gesellschaft für Diagnosesysteme in Medizin und Technik mbH & Co. KG
Priority to AU2003275922A priority Critical patent/AU2003275922A1/en
Priority to EP03798070A priority patent/EP1542585A2/fr
Publication of WO2004028365A2 publication Critical patent/WO2004028365A2/fr
Publication of WO2004028365A3 publication Critical patent/WO2004028365A3/fr

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Classifications

    • 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
    • A61B5/48—Other medical applications
    • A61B5/4806—Sleep evaluation
    • A61B5/4812—Detecting sleep stages or cycles
    • 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
    • A61B5/6813—Specially adapted to be attached to a specific body part
    • A61B5/6814—Head
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/02—Detecting, measuring or recording for evaluating the cardiovascular system, e.g. pulse, heart rate, blood pressure or blood flow
    • A61B5/0205—Simultaneously evaluating both cardiovascular conditions and different types of body conditions, e.g. heart and respiratory condition
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/24—Detecting, measuring or recording bioelectric or biomagnetic signals of the body or parts thereof
    • A61B5/25—Bioelectric electrodes therefor
    • A61B5/279—Bioelectric electrodes therefor specially adapted for particular uses
    • A61B5/291—Bioelectric electrodes therefor specially adapted for particular uses for electroencephalography [EEG]
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/24—Detecting, measuring or recording bioelectric or biomagnetic signals of the body or parts thereof
    • A61B5/316—Modalities, i.e. specific diagnostic methods
    • A61B5/389—Electromyography [EMG]
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/24—Detecting, measuring or recording bioelectric or biomagnetic signals of the body or parts thereof
    • A61B5/316—Modalities, i.e. specific diagnostic methods
    • A61B5/398—Electrooculography [EOG], e.g. detecting nystagmus; Electroretinography [ERG]

Definitions

  • the invention relates to a method for determining a sleep profile, in which at least one signal is detected via three electrodes and fed to an evaluation device, in which a first electrode is positioned in the area of a person's head, and in which mixed signals with proportions of EEG are used by the electrodes. Signals, EOG signals and EMG signals are recorded and fed to the evaluation device.
  • the invention further relates to a device for determining a sleep profile, which has at least three electrodes for recording mixed signals with portions of an EEG signal, an EOG signal and an EMG signal, and in which the electrodes are connected to an evaluation device.
  • a device for determining a sleep profile which has at least three electrodes for recording mixed signals with portions of an EEG signal, an EOG signal and an EMG signal, and in which the electrodes are connected to an evaluation device.
  • DE-OS 100 42 813 describes an arrangement with three electrodes which are arranged together in a forehead area of a patient.
  • DE 198 82 266 T 1 explains an arrangement using two electrodes.
  • a major problem when using the devices and methods according to the prior art is that the electrodes used are arranged at a relatively short distance from one another.
  • the dense arrangement of the electrodes relative to one another means that only small potential differences are measured. Due to the superimposition of interference signals, the detection of sleep states is only possible with imprecision.
  • the object of the present invention is to improve a method of the type mentioned in the introduction in such a way that both ease of use and high measuring accuracy are supported.
  • a first electrode is positioned in the area of a person's forehead, a second electrode in the area laterally below an eye and a third electrode as a reference electrode and in that the signals are subjected to signal processing by the evaluation device under program control.
  • Another object of the present invention is to construct a device of the type mentioned in the introduction in such a way that ease of use is achieved and high measuring accuracy is supported.
  • This object is achieved in that at least two of the electrodes are positioned relative to one another by a head holder, the contour of which is adapted to a head contour of a person such that a first electrode after the head holder has been placed on the head of the person in the area of a forehead, a second electrode is arranged in the area below an eye and a third electrode as a reference electrode and that the evaluation device is provided with a signal processing module.
  • the electrodes By positioning the electrodes in the area of the forehead, the area laterally below an eye and the neck, a relatively large distance between the electrodes is provided, which leads to increased potential differences.
  • the areas in question are usually only weakly or not at all hairy, so that good contact of the electrodes with a skin surface is provided.
  • the signal processing in the area of the evaluation device makes it possible to differentiate between different signal types and to evaluate them separately or in combination with one another. The evaluation leads to a high quality of information with regard to the respective sleep states being achieved.
  • Good measurement technology is also supported by positioning the electrode in an area above an eye of the person.
  • Advantageous potential differences can be detected by using the electrode below the eye as the active electrode.
  • Electrode positioning is provided in that the electrode is positioned below the eye relative to a center line of the head of the person with respect to the electrode in the forehead region diagonally and opposite.
  • Electrodes are arranged such that they can be moved relative to one another.
  • Electrodes are connected relative to one another by headbands.
  • electrical signal amplification be carried out at a short distance from the electrodes.
  • a fail-safe data transmission method that can be carried out with little energy expenditure is realized in that the Bluetooth method is used for signal transmission.
  • a high quality of information is also supported in that a pattern recognition is carried out for signal processing.
  • FIG. 2 shows a representation to illustrate a positioning of a head holder with three electrodes in the area of a patient's head
  • FIG. 3 shows a block diagram for further illustration of the overall device
  • 4 shows a block diagram to illustrate a first embodiment of a signal detection part
  • 5 is a block diagram illustrating a second embodiment of the signal detection part
  • FIG. 6 is a block diagram illustrating a third embodiment of the signal detection part
  • FIG. 7 is a block diagram illustrating a fourth embodiment of the signal detection part
  • FIG. 8 is a block diagram illustrating a fifth embodiment of the signal detection part
  • FIG. 9 is a block diagram illustrating a structure of a diagnostic part
  • FIG. 10 is a block diagram illustrating a second embodiment of a diagnostic part
  • FIG. 11 is a block diagram illustrating a third embodiment of a diagnostic part
  • FIG. 12 is a block diagram to illustrate signal processing when creating a sleep profile
  • FIG. 13 is a diagram to illustrate a first sleep profile
  • 15 is an illustration to illustrate a third sleep profile
  • 16 is an illustration to illustrate a fourth sleep profile
  • Fig. 18 is a diagram illustrating a sixth sleep profile
  • Fig. 19 is a diagram illustrating a seventh sleep profile.
  • a head holder (2) with electrodes (3, 4, 5) is positioned in the area of a person (1).
  • a transmitter (6) is also arranged in the area of the head holder (2) and is wirelessly coupled to a receiver (7).
  • the receiver (7) is arranged in the area of a base station (8).
  • the base station (8) records the signals transmitted to the receiver (7).
  • the base station (8) can contain a graphic user interface (9) and can be equipped with software modules for automatic signal analysis.
  • the base station (8) is equipped with a device for transmitting data to a central storage device (10).
  • the storage device (10) can be implemented, for example, as an electronic patient file.
  • Fig. 2 also shows a special embodiment of the arrangement of the head holder (2) in the region of a head (12) of the person (1). It can be seen that the electrode (3) in the area of a forehead (13), the electrode (4) in an area laterally below an eye (14) and the electrode (5) in the area of a neck (15) of the person (1). The area of the neck (15) also includes the neck area of the person (1).
  • the head holder (2) is made from strips, two horizontal strips and two essentially vertical strips being used.
  • Fig. 2 illustrates that the electrode (3) is laterally offset relative to a head center line such that the positioning takes place approximately above an eye of the person (1).
  • the electrode (4) is arranged laterally offset below the eye (14) and on the outside in such a way that a diagonally opposite arrangement is realized with respect to a center line of the head (12) relative to the electrode (3).
  • the electrode (3) in the area of the forehead (13) and the electrode (4) below the eye (14) are generally designed as active electrodes.
  • the electrode (5) in the area of the neck (15) or the neck serves as a reference electrode.
  • the potential differences between the electrodes (3, 4, 5) provide mixed signals with parts of EEG signals, EOG signals and EMG signals.
  • the evaluation unit (11) a distinction is made between the individual signals, for example by pattern recognition or digital filtering.
  • the signal processing can in particular be carried out using fuzzy logic.
  • the headgear (2) with a quick-release fastener so that the person (1) can easily put the headgear (2) on before going to bed.
  • Fig. 2 shows schematically an amplifier (16) arranged at a short distance from the electrodes (3, 4, 5).
  • an amplifier (16) arranged at a short distance from the electrodes (3, 4, 5).
  • Electrodes 3, 4, 5
  • adhesive electrodes or dry electrodes are contemplated.
  • a wireless short-range telemetry element can be used as the transmitter (6), which carries out a signal transmission using Bluetooth technology.
  • the transmitter (6) which carries out a signal transmission using Bluetooth technology.
  • the battery can be implemented as a disposable battery or as a rechargeable battery.
  • the base station (8) serves to receive and record the transmitted signals.
  • a relatively simple constructional implementation of the base station (8) can be achieved using a data logger with interface for reading out the data via network, memory card or with a direct connection to an evaluation PC.
  • the evaluation unit (11) for signal analysis can be implemented in the base station, but it is also possible to implement the evaluation unit (11) as an independent device. It is also conceivable to equip the base station (8) with an interface for reading out the data via mobile / telephone landline or data networks or to use storage media.
  • FIG. 3 shows a schematic block diagram to illustrate the overall arrangement.
  • the electrodes (3, 4, 5) are connected to a digitization or impedance measurement via amplifiers (16) and / or analog filters.
  • a connection to signal processing is established via a first buffer.
  • the signal quality is checked and an error is detected.
  • Corresponding evaluation information is fed to a user interface for users.
  • the output signals of the signal processing are fed to a second buffer and then forwarded to a display device. A diagnosis can be made here by experts. Finally, the data can be archived.
  • the overall arrangement in FIG. 3 is basically divided into the three components of the head holder (2), the mobile or stationary recording unit and the evaluation unit.
  • the mobile or stationary recording unit can be wholly or partly integrated in the area of the head holder (2) or in the area of the evaluation unit. So between the components probably wired couplings or decoupled wireless connections can be realized.
  • the recording unit can basically be implemented as a data logger, a PDA-like system and as a mobile or stationary computer.
  • a computer with independent or Internet-based software and data storage can be used to implement the evaluation unit.
  • FIGS. 9 to 11 shows a first embodiment variant for the signal detection part. Some parts of this are only explained optionally, since these parts can also be integrated into the diagnostic part shown in FIGS. 9 to 11.
  • the signal processing includes the creation of the sleep profile.
  • Simple signal processing parts such as filtering, compression and threshold value checks can be integrated in all modules.
  • FIG. 4 corresponds to the system shown in FIG. 3 in the left part of the drawing.
  • An analog cable connection between the electrodes (3, 4, 5) and the amplifier (16) is provided here. Only the electrodes are arranged in the area of the head holder (2), the amplifier (16) is arranged in the area of the base station (8) as a mobile or stationary recording unit.
  • the arrangement of the amplifier (16) and any analog filters in the area of the head holder (2) is connected to the mobile or stationary recording unit in a similar manner via a cable connection.
  • the digitization or the impedance measurement is also arranged in the area of the head holder (2).
  • a connection to the mobile or stationary recording unit is made, for example, via a cable with digital data transmission or via short-range wireless communication.
  • the control of the signal quality as well as an error detection and a first temporary storage in the area of the head holder (2) are implemented.
  • Another buffer and a module for carrying out remote telemetry or for feeding data into data networks is arranged in the area of the mobile or stationary recording unit.
  • a data transfer between the buffers can be digitally wired, it is also conceivable to use wireless short-range communication or remote telemetry here as well.
  • the use of data or telephone networks, mobile radio or the Internet is also possible.
  • data can also be exchanged using storage media.
  • the signal processing is also implemented in the area of the head holder (2).
  • the same methods and devices that have already been described in connection with FIG. 7 can be used for the data transmission between the respective buffers.
  • FIG. 9 essentially shows the right part of the overall system according to FIG. 3, the mobile or stationary recording unit being equipped with a module for carrying out remote telemetry, feeding data into data networks and for generating a direct digital connection. Communication between the recording unit and the evaluation unit can in turn take place using all technical methods and devices that have already been described in connection with FIG. 7.
  • the signal processing was transferred from the evaluation unit to the mobile or stationary recording unit. Otherwise, the structure essentially corresponds to the illustration in FIG. 9.
  • a pattern recognition by a classifier can take place, for example, using artificial neural networks. Even after the pattern recognition, a standardization, conditioning and plausibility check as well as, if necessary, an artifact recognition and elimination are carried out.
  • the information about the context is compiled, in particular about parameters and patterns in a time window.
  • a transparent set of rules for creating the sleep profile can be generated from this data, for example using neural networks or fuzzy systems.
  • FIG. 13 shows an exemplary sleep profile in which a distinction is made between waking states, light sleep (LS), deep sleep (SWS) and REM or paradoxical sleep.
  • Modified sleep profiles are also shown in FIGS. 14, 15, 16, 17, 18 and 19. The sleep profiles differ essentially in the way they are displayed in order to facilitate evaluations based on different criteria.
  • the base station (8) can be connected to an evaluation PC by cable or via a Bluetooth interface. Indirect connections via telephone networks, for example analog, via ISDN or via mobile radio are also possible. There is also an integration into local ones Networks or data transfer possible using the Internet.
  • the measurement signals of other sensors can relate to breathing, the cardiovascular system and the execution of movements.
  • additional sensors can relate to breathing, the cardiovascular system and the execution of movements.
  • 3 electrodes (3, 4, 5) two unipolar or one bipolar lead can be obtained, for example.
  • each of the electrodes (3, 4, 5) can be used as a passive electrode, but the structure described above proves to be advantageous.
  • the reference electrode shown in the region of the neck (15) it can also be arranged in the neck behind the ear or above the mastoid.
  • the method explained includes both signal acquisition using the electrodes, signal processing, the presentation of the results, and support in producing a diagnostic statement.
  • the device explained can be used to screen measurement data, to support the establishment of a diagnosis by the attending doctor and to carry out a therapy check for the most common sleep disorders.
  • sleep disorders such as OSAS, insomnia, periodic limb movements and narcolepsy.
  • the sleep profile As an alternative to evaluating only the sleep profile generated, it is also possible to combine the sleep profile with one or more parameters of respiration, oxygen saturation of the blood, heart, or. Pulse rate, body position as well as arm and / or leg movement to carry out.
  • the device explained and the method enable use under clinical conditions, within a sleep laboratory and in particular also on an outpatient basis.
  • these are in particular the performance of the activity in the EEG frequency bands, for example the alpha activity, the spindle density and the SEM density. Determining these parameters supports the detection and differentiation of neurological sleep disorders, for example insomnia.
  • a further increase in user convenience when using the device can be achieved by transparently visualizing the recognized patterns or applied rules. Plausibility checks and post-correction of the data are supported by the display of the measured or filtered raw data.
  • Another field of application for the use of the device and the use of the method is the monitoring of hypersomnia and vigilance during the day and the objective detection of falling asleep while performing sleep latency or monotony intolerance tests.
  • a number of further patterns can be determined from the mixed signals by feature extraction, in particular by extraction of the frequency and amplitude distributions.
  • these are fast and slow eye movements, alpha, theta and delta activities in the EEG, sleep spin yours and movements.
  • Feature extraction can be supported through the use of artificial neural networks.
  • Pre-processing of the measurement signals has proven to be advantageous in order to dampen higher-frequency signal components, in particular network disturbances of 50 Hz or 60 Hz.
  • the use of digital filters has also proven to be advantageous.
  • high-frequency signal components with a frequency above 25 Hz can be evaluated to measure muscle tone.
  • the evaluation of the muscle tone supports in particular the detection of REM sleep and deep sleep.
  • the strength of the performance of the individual EEG frequency bands, the frequency of the occurrence of the patterns and the strength of the muscle tone can be individually standardized using the value distribution.
  • a sleep depth is assigned to a measurement phase to be evaluated, for example a measurement phase with a duration of one second. This is done by looking at the frequency, strength as well as the.
  • the sequence of the recognized patterns can be viewed in a time window which is greater than or equal to the duration of the measurement phase in question.
  • the assignment carried out can be based on rules using fuzzy logic.
  • a discrete sleep profile a so-called hypnogram
  • hypnogram can be generated from the results of the signal processing, according to righteousness and Kales.
  • a novel sleep profile is provided, which in particular also reproduces continuous transitions from waking to light sleep to deep sleep.
  • deep sleep is characterized by the fact that activities in the delta frequency range of the EEG are detected with sufficient frequency. If deep sleep is detected, the amplitude or the power of this delta activity in the sleep profile can be recognized by the strength of the rash in the direction of deep sleep.
  • REM sleep begins and ends at fixed times, there is no continuous transition here. By defining threshold values, it can be determined which areas are clearly evaluated as waking sleep, light sleep, deep sleep or as an unclear sleep state. This helps in particular to specify the time periods of the occurrence of these states in absolute or percentage.
  • the electrode arranged in the region of the patient's neck when the measuring method was carried out it is also possible to position this electrode in the region of the patient's chin, neck, upper body or earlobe.
  • the reference electrode in the region of the patient's neck, it is also possible to position it differently, for example on the earlobe, neck, chin or on the patient's upper body.

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  • Health & Medical Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Engineering & Computer Science (AREA)
  • Medical Informatics (AREA)
  • Surgery (AREA)
  • Biophysics (AREA)
  • Biomedical Technology (AREA)
  • Heart & Thoracic Surgery (AREA)
  • Physics & Mathematics (AREA)
  • Molecular Biology (AREA)
  • Pathology (AREA)
  • Animal Behavior & Ethology (AREA)
  • General Health & Medical Sciences (AREA)
  • Public Health (AREA)
  • Veterinary Medicine (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Measurement Of The Respiration, Hearing Ability, Form, And Blood Characteristics Of Living Organisms (AREA)
  • Measurement And Recording Of Electrical Phenomena And Electrical Characteristics Of The Living Body (AREA)

Abstract

L'invention concerne un procédé et un dispositif permettant de déterminer un profil de sommeil. Au moins un signal détecté par au moins trois électrodes est cédé à un dispositif d'évaluation. La détection des signaux se réfère à des signaux mixtes comportant des fractions de signaux EEG, des fractions de signaux EOG et des fractions de signaux EMG. Une première électrode est placée dans la zone front d'une personne, une deuxième électrode est placée dans la zone latérale sous un oeil et une troisième électrode est placée dans la zone nuque de cette personne. Les signaux sont soumis à un traitement de données qui est commandé par un programme et est effectué par le dispositif d'évaluation.
PCT/DE2003/003086 2002-09-20 2003-09-16 Procede et dispositif permettant de determiner un profil de sommeil WO2004028365A2 (fr)

Priority Applications (2)

Application Number Priority Date Filing Date Title
AU2003275922A AU2003275922A1 (en) 2002-09-20 2003-09-16 Method and device for determining a sleep profile
EP03798070A EP1542585A2 (fr) 2002-09-20 2003-09-16 Procede et dispositif permettant de determiner un profil de sommeil

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
DE10243937.0 2002-09-20
DE10243937A DE10243937A1 (de) 2002-09-20 2002-09-20 Verfahren und Vorrichtung zur Ermittlung eines Schlafprofiles

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WO2004028365A2 true WO2004028365A2 (fr) 2004-04-08
WO2004028365A3 WO2004028365A3 (fr) 2004-06-03

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EP (1) EP1542585A2 (fr)
AU (1) AU2003275922A1 (fr)
DE (1) DE10243937A1 (fr)
WO (1) WO2004028365A2 (fr)

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EP1800600A1 (fr) * 2005-12-22 2007-06-27 General Electric Company Configuration d'électrodes pour la surveillance du système nerveux central
CN106333675A (zh) * 2016-09-21 2017-01-18 广州视源电子科技股份有限公司 清醒状态下的脑电信号数据类型的标注方法和系统
CN115890655A (zh) * 2022-10-11 2023-04-04 人工智能与数字经济广东省实验室(广州) 基于头部姿态和眼电的机械臂控制方法、装置及介质

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WO1993002616A1 (fr) * 1991-08-09 1993-02-18 Srd Shorashim Medical, Ltd. Appareil servant a mettre en place des electrodes
US6171258B1 (en) * 1998-10-08 2001-01-09 Sleep Solutions, Inc. Multi-channel self-contained apparatus and method for diagnosis of sleep disorders
US6272378B1 (en) * 1996-11-21 2001-08-07 2Rcw Gmbh Device and method for determining sleep profiles
WO2002000111A1 (fr) * 2000-06-23 2002-01-03 Bodymedia, Inc. Systeme de surveillance de la sante, du bien-etre et de la condition physique

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DE10042813A1 (de) * 2000-08-30 2001-06-13 Baumgart Schmitt Rudolf Anordnung und Verfahren zur Generierung von Schlafprofilen unter Einbeziehung der Herzperiodendauervariabilität
DE10100663A1 (de) * 2001-01-02 2002-07-04 Stielau Guenter EEG Stimulation durch modulierten binaurale Laufzeitdifferenz sowie Biofeedback
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Publication number Priority date Publication date Assignee Title
WO1991009372A1 (fr) * 1989-12-13 1991-06-27 Bio-Logic Systems Corporation Analyse assistee par ordinateur du sommeil
WO1993002616A1 (fr) * 1991-08-09 1993-02-18 Srd Shorashim Medical, Ltd. Appareil servant a mettre en place des electrodes
US6272378B1 (en) * 1996-11-21 2001-08-07 2Rcw Gmbh Device and method for determining sleep profiles
US6171258B1 (en) * 1998-10-08 2001-01-09 Sleep Solutions, Inc. Multi-channel self-contained apparatus and method for diagnosis of sleep disorders
WO2002000111A1 (fr) * 2000-06-23 2002-01-03 Bodymedia, Inc. Systeme de surveillance de la sante, du bien-etre et de la condition physique

Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP1800600A1 (fr) * 2005-12-22 2007-06-27 General Electric Company Configuration d'électrodes pour la surveillance du système nerveux central
US7599735B2 (en) 2005-12-22 2009-10-06 General Electric Company Electrode configuration for central nervous system monitoring
CN106333675A (zh) * 2016-09-21 2017-01-18 广州视源电子科技股份有限公司 清醒状态下的脑电信号数据类型的标注方法和系统
CN115890655A (zh) * 2022-10-11 2023-04-04 人工智能与数字经济广东省实验室(广州) 基于头部姿态和眼电的机械臂控制方法、装置及介质
CN115890655B (zh) * 2022-10-11 2024-02-09 人工智能与数字经济广东省实验室(广州) 基于头部姿态和眼电的机械臂控制方法、装置及介质

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WO2004028365A3 (fr) 2004-06-03
DE10243937A1 (de) 2004-04-01
AU2003275922A1 (en) 2004-04-19
EP1542585A2 (fr) 2005-06-22

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