WO2018120640A1 - Système de surveillance du sommeil destiné à des personnes âgées - Google Patents
Système de surveillance du sommeil destiné à des personnes âgées Download PDFInfo
- Publication number
- WO2018120640A1 WO2018120640A1 PCT/CN2017/086505 CN2017086505W WO2018120640A1 WO 2018120640 A1 WO2018120640 A1 WO 2018120640A1 CN 2017086505 W CN2017086505 W CN 2017086505W WO 2018120640 A1 WO2018120640 A1 WO 2018120640A1
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- WO
- WIPO (PCT)
- Prior art keywords
- physiological data
- monitoring system
- computing device
- data collection
- elderly
- Prior art date
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- 230000007958 sleep Effects 0.000 title claims abstract description 61
- 238000012544 monitoring process Methods 0.000 title claims abstract description 43
- 238000004458 analytical method Methods 0.000 claims abstract description 12
- 238000013480 data collection Methods 0.000 claims description 44
- 238000004891 communication Methods 0.000 claims description 14
- 230000000638 stimulation Effects 0.000 claims description 8
- WHXSMMKQMYFTQS-UHFFFAOYSA-N Lithium Chemical compound [Li] WHXSMMKQMYFTQS-UHFFFAOYSA-N 0.000 claims description 5
- QVGXLLKOCUKJST-UHFFFAOYSA-N atomic oxygen Chemical compound [O] QVGXLLKOCUKJST-UHFFFAOYSA-N 0.000 claims description 5
- 239000008280 blood Substances 0.000 claims description 5
- 210000004369 blood Anatomy 0.000 claims description 5
- 229910052744 lithium Inorganic materials 0.000 claims description 5
- 229910052760 oxygen Inorganic materials 0.000 claims description 5
- 239000001301 oxygen Substances 0.000 claims description 5
- 230000029058 respiratory gaseous exchange Effects 0.000 claims description 5
- 210000001015 abdomen Anatomy 0.000 claims description 4
- 230000004424 eye movement Effects 0.000 claims description 4
- 230000033001 locomotion Effects 0.000 claims description 4
- 238000010586 diagram Methods 0.000 description 6
- 238000000034 method Methods 0.000 description 5
- 230000000474 nursing effect Effects 0.000 description 3
- 208000019901 Anxiety disease Diseases 0.000 description 2
- 230000036506 anxiety Effects 0.000 description 2
- 210000004556 brain Anatomy 0.000 description 2
- 230000004630 mental health Effects 0.000 description 2
- 208000024172 Cardiovascular disease Diseases 0.000 description 1
- 206010020772 Hypertension Diseases 0.000 description 1
- 208000013738 Sleep Initiation and Maintenance disease Diseases 0.000 description 1
- 206010042434 Sudden death Diseases 0.000 description 1
- 230000032683 aging Effects 0.000 description 1
- 230000036760 body temperature Effects 0.000 description 1
- 208000026106 cerebrovascular disease Diseases 0.000 description 1
- 238000007405 data analysis Methods 0.000 description 1
- 230000007423 decrease Effects 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 230000018109 developmental process Effects 0.000 description 1
- 238000003745 diagnosis Methods 0.000 description 1
- 230000002526 effect on cardiovascular system Effects 0.000 description 1
- 230000036541 health Effects 0.000 description 1
- 206010022437 insomnia Diseases 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000001575 pathological effect Effects 0.000 description 1
- 230000008569 process Effects 0.000 description 1
- 238000011160 research Methods 0.000 description 1
- 201000002859 sleep apnea Diseases 0.000 description 1
- 208000019116 sleep disease Diseases 0.000 description 1
- 230000008665 sleep physiology Effects 0.000 description 1
- 230000003860 sleep quality Effects 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
- 208000011580 syndromic disease Diseases 0.000 description 1
- 230000003519 ventilatory effect Effects 0.000 description 1
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Classifications
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
Definitions
- the utility model belongs to the technical field of sleep monitoring, in particular to an elderly sleep monitoring system.
- the anxiety and anxiety of the elderly living alone gradually emerge.
- the quality of sleep can reflect the physical and mental health of the elderly on the one hand. Therefore, the decline of sleep quality and even the occurrence of insomnia often have a serious impact.
- the physical and mental health of the elderly Furthermore, the physical fitness of the elderly is gradually declining, and it is particularly prone to sudden death of high blood pressure, cardiovascular and cerebrovascular diseases at night, which poses a threat to the health of the elderly. Therefore, sleep monitoring for the elderly, especially the elderly living alone. It is especially important.
- the prior art records and analyzes a number of sleep physiology indicators of an elderly person during an all-night sleep process through polysomnography (PSG) to obtain monitoring results, thereby achieving sleep disorders, sleep disordered breathing, and sleep apnea, low.
- PSG polysomnography
- Diagnosis of ventilatory syndrome, etc. provides monitoring data that can be referenced.
- the equipment used for sleep monitoring is a professional medical device, and it is necessary to go to the hospital to complete the sleep monitoring.
- the existing Professional medical equipment is unable to continuously monitor the daily sleep of the elderly.
- the embodiments of the present invention provide an elderly sleep monitoring system to solve the problem that the existing professional medical equipment cannot continuously monitor the elderly for daily sleep.
- the elderly sleep monitoring system includes:
- a computing device for performing sleep analysis on physiological data
- the first physiological data collection device may be worn on the user's head
- the second physiological data collection device can be worn on the chest of the user;
- a terminal device connected to the computing device for acquiring a sleep analysis result of the computing device.
- the first physiological data collection device includes:
- the first controller is configured to upload the monitored physiological data to the computing device by using the first communication module;
- a first acquisition circuit connected to the first controller for collecting an EEG signal, an eye movement signal, and an EMG signal;
- a microphone connected to the first controller
- a blood oxygen sensor a body position sensor and a temperature sensor connected to the first controller
- the first physiological data collection device further includes:
- An electrical stimulation circuit for outputting an electrical stimulation signal coupled to the first controller.
- the second physiological data collection device includes:
- the second controller is configured to upload the monitored physiological data to the computing device by using the second communication module;
- a third collecting circuit connected to the second controller for collecting an ECG signal and a chest and abdomen breathing signal
- a leg motion detecting circuit connected to the second controller.
- the computing device is a mobile terminal, and a manner of establishing a connection between the mobile terminal and the first physiological data collection device, and the mobile terminal and the second physiological data collection device includes: Bluetooth .
- the elderly sleep monitoring system further includes:
- a remote server connected to the computing device.
- the elderly sleep monitoring system further includes:
- a big data server connected to the remote server.
- first physiological data collection device and the second physiological data collection device each include:
- a storage device for storing the monitored physiological data.
- the storage device includes:
- first physiological data collection device and the second physiological data collection device each include:
- a lithium battery power supply module connected to the controller.
- the embodiment of the present invention provides a home, wearable sleep monitoring system solution for the elderly, and the elderly can complete daily sleep monitoring at home, greatly saving public medical resources, and can help the elderly family members. , nursing or family doctors, hospitals in a timely manner to understand the sleep status of the elderly.
- FIG. 1 is a structural block diagram of an elderly sleep monitoring system provided by an embodiment of the present invention.
- FIG. 2 is an exemplary block diagram of a first physiological data collection device for an elderly sleep monitoring system according to an embodiment of the present invention
- FIG. 3 is an exemplary block diagram of a second physiological data collection device for an elderly sleep monitoring system according to an embodiment of the present invention.
- FIG. 1 is a structural block diagram of an elderly sleep monitoring system provided by an embodiment of the present invention. For convenience of description, only parts related to the present embodiment are shown.
- the elderly sleep monitoring system includes:
- the first physiological data collecting device 12 can be worn on the user's head;
- the computing device 11 Connected to the computing device 11 for uploading the monitored physiological data to the second physiological data collecting device 13 of the computing device 11, the second physiological data collecting device 13 being wearable to the chest of the user;
- the terminal device includes, but is not limited to, a mobile phone, a tablet, a notebook computer, etc., preferably, it may be a terminal device used by a family member or a guardian of an elderly person, or may be a nursing institution or a family doctor of an elderly person.
- the terminal device used to better understand the sleep condition of the elderly by a third person.
- the first physiological data collection device 12 may include:
- the first controller is configured to upload the monitored physiological data to the computing device by using the first communication module;
- a first acquisition circuit connected to the first controller for collecting an EEG signal, an eye movement signal, and an EMG signal;
- a microphone connected to the first controller
- a blood oxygen sensor a body position sensor and a temperature sensor connected to the first controller
- the first physiological data collection device 12 further includes: an electrical stimulation circuit connected to the first controller for outputting an electrical stimulation signal.
- an electrode for collecting physiological data in the brain of the user may be used as an output device of the electrical stimulation signal, and the low-voltage electrical stimulation signal is output to assist the elderly in relieving fatigue and relieving pressure.
- the second physiological data collecting device 13 includes:
- the second controller is configured to upload the monitored physiological data to the computing device by using the second communication module;
- a third collecting circuit connected to the second controller for collecting an ECG signal and a chest and abdomen breathing signal
- a leg motion detecting circuit connected to the second controller.
- the computing device is a mobile terminal, such as a smart phone or a tablet.
- the method of establishing a connection between the mobile terminal and the first physiological data collection device 12 and the mobile terminal and the second physiological data collection device 13 includes: Bluetooth.
- the Bluetooth module can be configured as a communication in the mobile terminal, the first physiological data collection device 12, and the second physiological data collection device 13, so as to reduce the operation difficulty by wireless short-distance communication, and satisfy the elderly population. Operational requirements.
- the elderly sleep monitoring system further includes: a remote server connected to the computing device 11.
- the computing devices are personal devices for the elderly for obtaining physiological data at close range and performing sleep analysis.
- the results of the sleep analysis are often reported to the hospital where they are visiting for follow-up visits, or forwarded to their families through the server. Therefore, in the present embodiment, the computing device 11 is obtained. Sleeping
- the sleep analysis results can also be uploaded to a remote server.
- the polysomnography system further includes: a big data server connected to the remote server, to obtain the remote server through the big data server (which may also be a cloud server).
- the sleep analysis results of different sleep monitoring systems are analyzed by big data, so that the results of big data analysis can be used for medical research, pathological data statistics and other application scenarios for the elderly.
- a storage device may be disposed for storing the monitored physiological data.
- the storage device can be implemented by using a NAND FLASH memory chip. Since the memory chip has the advantages of large capacity and fast rewriting speed, it can provide a cheap and effective storage solution for the elderly sleep monitoring system.
- the physiological data collected by the physiological data collection device 12 and the second physiological data collection device 13 can be temporarily stored in the storage device. After the communication condition is mature, the physiological data is read from the storage device and uploaded to the computing device.
- the first physiological data collection device 12 can be realized by the product form of the brain electric cap
- the second physiological data collection device 13 can be realized by the product form of the electrocardiogram, in two Different types of physiological signal acquisition circuits or sensors are integrated in the physiological data acquisition device to realize the collection of physiological signals as a data basis for polysomnography.
- the first controller adopts a CC2650F123RGZ chip, and the first communication module The USB serial port and the 2.4G Bluetooth module are included.
- the first controller is connected to the first controller: a first acquisition circuit for collecting an EEG signal, an eye movement signal, and an EMG signal; and a microphone for collecting a beep; A blood oxygen sensor MAX30100/102 for collecting blood oxygen signals; a sensor MPU6050 for determining body position or posture; a temperature sensor MAX31855 for collecting body temperature; and a T-type thermocouple for collecting nasal and nasal airflow signals.
- FIG. 3 is an exemplary block diagram of a second physiological data collection device for an elderly sleep monitoring system provided by an embodiment of the present invention.
- the second controller adopts a CC2650F123RGZ chip, and the second communication module Includes USB serial port and 2.4G Bluetooth module, in addition,
- the connection with the second controller includes: an ADAS1000 chip for collecting an electrocardiogram signal and a chest and abdomen breathing signal, and a leg motion detecting circuit.
- the first physiological data collection device 12 and the second physiological data collection device 13 each include: a lithium battery power supply module connected to the controller, including a lithium battery management chip SGM4056 and a lithium battery. The entire device is powered by the controller.
- the embodiment of the present invention provides a home, wearable sleep monitoring system solution for the elderly, and the elderly can complete daily sleep monitoring at home, greatly saving public medical resources, and can help the elderly family members. , nursing or family doctors, hospitals in a timely manner to understand the sleep status of the elderly.
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- Health & Medical Sciences (AREA)
- Medical Informatics (AREA)
- Biophysics (AREA)
- Pathology (AREA)
- Engineering & Computer Science (AREA)
- Biomedical Technology (AREA)
- Heart & Thoracic Surgery (AREA)
- Physics & Mathematics (AREA)
- Molecular Biology (AREA)
- Surgery (AREA)
- Animal Behavior & Ethology (AREA)
- General Health & Medical Sciences (AREA)
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- Measuring And Recording Apparatus For Diagnosis (AREA)
Abstract
L'invention concerne un système de surveillance du sommeil destiné à des personnes âgées, comprenant : un dispositif informatique (11) destiné à effectuer une analyse de sommeil sur des données physiologiques ; et un premier dispositif d'acquisition de données physiologiques (12) connecté au dispositif informatique (11) et configuré pour télécharger les données physiologiques surveillées sur le dispositif informatique (11), le premier dispositif d'acquisition de données physiologiques (12) pouvant être porté sur la tête d'un utilisateur ; un second dispositif d'acquisition de données physiologiques (13) connecté au dispositif informatique (11) et configuré pour télécharger les données physiologiques surveillées sur le dispositif informatique (11), le second dispositif d'acquisition de données physiologiques (13) pouvant être porté sur la poitrine de l'utilisateur ; un dispositif terminal (14) connecté au dispositif informatique (11) et configuré pour acquérir le résultat d'analyse de sommeil du dispositif informatique (11). Le système de surveillance de sommeil domestique et pouvant être porté permet d'économiser des ressources médicales publiques considérables et peut aider un membre de la famille, un soignant ou un médecin de famille, et un hôpital consulté accueillant des personnes âgées, à connaître en temps opportun l'état de sommeil des personnes âgées.
Applications Claiming Priority (2)
Application Number | Priority Date | Filing Date | Title |
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CN201621491132 | 2016-12-30 | ||
CN201621491132.X | 2016-12-30 |
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WO2018120640A1 true WO2018120640A1 (fr) | 2018-07-05 |
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PCT/CN2017/086505 WO2018120640A1 (fr) | 2016-12-30 | 2017-05-29 | Système de surveillance du sommeil destiné à des personnes âgées |
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Citations (6)
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CN101044981A (zh) * | 2006-03-28 | 2007-10-03 | 周常安 | 睡眠呼吸状态检测装置 |
US20110251469A1 (en) * | 2010-04-09 | 2011-10-13 | The Board Of Trustees Of The University Of Arkansas | Wireless nanotechnology based system for diagnosis of neurological and physiological disorders |
CN203524646U (zh) * | 2013-09-29 | 2014-04-09 | 重庆康如来科技有限公司 | 佩戴式家用睡眠监测仪 |
CN104161511A (zh) * | 2014-07-28 | 2014-11-26 | 复旦大学 | 一种便携式睡眠监测系统 |
CN104814733A (zh) * | 2015-04-17 | 2015-08-05 | 中国人民解放军第二军医大学 | 一种穿戴式、便携式多导睡眠监测系统 |
US20150289804A1 (en) * | 2012-10-22 | 2015-10-15 | The Regents Of The University Of California | Networked sensor systems for remote patient monitoring |
-
2017
- 2017-05-29 WO PCT/CN2017/086505 patent/WO2018120640A1/fr active Application Filing
Patent Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
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CN101044981A (zh) * | 2006-03-28 | 2007-10-03 | 周常安 | 睡眠呼吸状态检测装置 |
US20110251469A1 (en) * | 2010-04-09 | 2011-10-13 | The Board Of Trustees Of The University Of Arkansas | Wireless nanotechnology based system for diagnosis of neurological and physiological disorders |
US20150289804A1 (en) * | 2012-10-22 | 2015-10-15 | The Regents Of The University Of California | Networked sensor systems for remote patient monitoring |
CN203524646U (zh) * | 2013-09-29 | 2014-04-09 | 重庆康如来科技有限公司 | 佩戴式家用睡眠监测仪 |
CN104161511A (zh) * | 2014-07-28 | 2014-11-26 | 复旦大学 | 一种便携式睡眠监测系统 |
CN104814733A (zh) * | 2015-04-17 | 2015-08-05 | 中国人民解放军第二军医大学 | 一种穿戴式、便携式多导睡眠监测系统 |
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