CN203524646U - Wearable domestic sleep monitor - Google Patents
Wearable domestic sleep monitor Download PDFInfo
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- CN203524646U CN203524646U CN201320607197.6U CN201320607197U CN203524646U CN 203524646 U CN203524646 U CN 203524646U CN 201320607197 U CN201320607197 U CN 201320607197U CN 203524646 U CN203524646 U CN 203524646U
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- sensor
- sleep monitor
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- physiological signal
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- 238000012544 monitoring process Methods 0.000 claims abstract description 36
- 230000003187 abdominal effect Effects 0.000 claims abstract description 16
- 238000012545 processing Methods 0.000 claims abstract description 16
- 206010041235 Snoring Diseases 0.000 claims abstract description 12
- 230000029058 respiratory gaseous exchange Effects 0.000 claims abstract description 9
- 230000000638 stimulation Effects 0.000 claims abstract description 5
- 210000000481 breast Anatomy 0.000 claims description 18
- 238000002496 oximetry Methods 0.000 claims description 14
- 230000000694 effects Effects 0.000 claims description 11
- 210000004556 brain Anatomy 0.000 claims description 8
- 210000003128 head Anatomy 0.000 claims description 7
- 230000001133 acceleration Effects 0.000 claims description 6
- 238000004891 communication Methods 0.000 claims description 6
- 210000001015 abdomen Anatomy 0.000 claims description 3
- 210000001061 forehead Anatomy 0.000 claims description 3
- 230000004936 stimulating effect Effects 0.000 claims description 3
- 238000013461 design Methods 0.000 abstract description 2
- 108010064719 Oxyhemoglobins Proteins 0.000 abstract 1
- 230000004886 head movement Effects 0.000 abstract 1
- 238000005516 engineering process Methods 0.000 description 2
- 208000019116 sleep disease Diseases 0.000 description 2
- 208000020685 sleep-wake disease Diseases 0.000 description 2
- 206010003497 Asphyxia Diseases 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000003745 diagnosis Methods 0.000 description 1
- 208000037265 diseases, disorders, signs and symptoms Diseases 0.000 description 1
- 238000000034 method Methods 0.000 description 1
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- Measurement And Recording Of Electrical Phenomena And Electrical Characteristics Of The Living Body (AREA)
Abstract
The utility model relates to the technical field of medical instruments, in particular to a wearable domestic sleep monitor. The wearable domestic sleep monitor comprises a physiological signal sensor, a stimulation intervention device and a data processing device. The physiological signal sensor is arranged on a monitoring belt and comprises at least one of an electroencephalogram sensor, an oxyhemoglobin saturation sensor, a mouth and nose airflow sensor, a snore sensor, a head movement sensor, an electrocardiogram sensor, a chest abdominal breathing sensor, a body movement sensor and a limb movement sensor. The data output end of the physiological signal sensor is electrically connected with the data input end of the data processing device, and the control output end of the data processing device is electrically connected with the control input end of the stimulation intervention device. The wearable domestic sleep monitor adopts the wireless body area network design based on Bluetooth 4.0, is low in monitoring load, large in number of monitoring parameters, low in price and convenient to use, and has the intervention function.
Description
Technical field
This utility model relates to technical field of medical instruments, relates in particular to a kind of sleep monitor.
Background technology
At present, sleep disorder disease incidence is high, crowd is huge, awareness is low, existing sleep analysis monitor equipment operating is complicated, Physiological Psychology load is large, somewhat expensive, cannot be applicable to family uses, and Portable sleep monitor monitoring parameter is few, cannot make Accurate Diagnosis to sleep disorder, in the time of more cannot there is asphyxia in sleep procedure, intervene.
Therefore, need that a set of monitoring load is low, monitoring parameter is many, low price, support long distance monitoring, have intervention functions, easy to use, the Worn type domestic sleep monitor that is beneficial to popularization concurrently.
Utility model content
In view of this, this utility model provides a kind of Worn type domestic sleep monitor, can carry out multi-parameter monitoring, and possess intervention functions.
This utility model solves the problems of the technologies described above by following technological means:
Worn type domestic sleep monitor, comprise physiological signal sensor, stimulate tampering devic and data processing equipment, described physiological signal sensor is arranged at monitoring and is with, described physiological signal sensor comprises brain electric transducer, oximetry sensor, mouth and nose pneumatic sensor, sound of snoring sensor, dynamic sensor, EGC sensor, breast abdominal respiration sensor, body dynamic sensor, at least one in limb activity sensor, the data output end of described physiological signal sensor and the data input pin of data processing equipment electrically connect, the control output end of described data processing equipment electrically connects with stimulating the control input end of tampering devic.
Further, described physiological signal sensor is wireless senser.
Further, described wireless senser is the wireless senser based on bluetooth, and described data processing equipment comprises Bluetooth wireless communication module and microprocessor, and the FPDP of described Bluetooth wireless communication module and the FPDP of microprocessor electrically connect.
Further, described stimulation tampering devic comprises at least one in pulse electric shock device, speaker and vibrating motor.
Further, described physiological signal sensor comprises brain electric transducer, oximetry sensor, mouth and nose pneumatic sensor, sound of snoring sensor, dynamic sensor, EGC sensor, breast abdominal respiration sensor, body dynamic sensor, limb activity sensor, described monitoring band comprises head monitoring band, breast abdominal part monitoring band and limbs monitoring band, described brain electric transducer, oximetry sensor, mouth and nose pneumatic sensor, sound of snoring sensor and a dynamic sensor are arranged at head monitoring and are with, described EGC sensor, breast abdominal respiration sensor and body dynamic sensor are arranged at the monitoring of breast abdominal part and are with, described limb activity sensor setting is with in limbs monitoring.
Further, described oximetry sensor is the reflective anti motion interference oximetry sensor of forehead.
Further, described sound of snoring sensor is electret microphone.
Further, described dynamic sensor and limb activity sensor are acceleration transducer.
Further, described body dynamic sensor comprises acceleration transducer, pressure wave sensor and breast abdomen impedance transducer.
Worn type domestic sleep monitor of the present utility model, adopts the wireless body area network design based on bluetooth 4.0, and monitoring load is low, monitoring parameter is many, low price, have intervention functions, easy to use concurrently.
The specific embodiment
Fig. 1 shows the structural representation of Worn type domestic sleep monitor.
The specific embodiment
Below with reference to accompanying drawing, this utility model is elaborated.
Referring to Fig. 1, Worn type domestic sleep monitor, comprise physiological signal sensor, stimulate tampering devic and data processing equipment, the data output end of described physiological signal sensor and the data input pin of data processing equipment electrically connect, and the control output end of described data processing equipment electrically connects with stimulating the control input end of tampering devic.
Described physiological signal sensor is wireless senser, described wireless senser is the wireless senser based on bluetooth 4.0, described data processing equipment comprises Bluetooth wireless communication module and microprocessor, the FPDP of described Bluetooth wireless communication module and the FPDP of microprocessor electrically connect, and described data processing equipment can adopt existing smart mobile phone or panel computer.
Described physiological signal sensor comprises brain electric transducer, oximetry sensor, mouth and nose pneumatic sensor, sound of snoring sensor, dynamic sensor, EGC sensor, breast abdominal respiration sensor, body dynamic sensor, limb activity sensor, described monitoring band comprises head monitoring band, breast abdominal part monitoring band and limbs monitoring band, described brain electric transducer, oximetry sensor, mouth and nose pneumatic sensor, sound of snoring sensor and a dynamic sensor are arranged at head monitoring and are with, described EGC sensor, breast abdominal respiration sensor and body dynamic sensor are arranged at the monitoring of breast abdominal part and are with, described limb activity sensor setting is with in limbs monitoring.
Described stimulation tampering devic comprises pulse electric shock device, speaker and vibrating motor, can be arranged at head monitoring band, breast abdominal part monitoring band or limbs monitoring and be with, and also can arrange separately.
Described oximetry sensor is the reflective anti motion interference oximetry sensor of forehead.
Described sound of snoring sensor is electret microphone.
Described dynamic sensor and limb activity sensor are acceleration transducer.
Described body dynamic sensor comprises acceleration transducer, pressure wave sensor and breast abdomen impedance transducer.
Finally explanation is, above embodiment is only unrestricted in order to the technical solution of the utility model to be described, although this utility model is had been described in detail with reference to preferred embodiment, those of ordinary skill in the art is to be understood that, can modify or be equal to replacement the technical solution of the utility model, and not departing from aim and the scope of technical solutions of the utility model, it all should be encompassed in the middle of claim scope of the present utility model.
Claims (9)
1. Worn type domestic sleep monitor, it is characterized in that: comprise physiological signal sensor, stimulate tampering devic and data processing equipment, described physiological signal sensor is arranged at monitoring and is with, described physiological signal sensor comprises brain electric transducer, oximetry sensor, mouth and nose pneumatic sensor, sound of snoring sensor, dynamic sensor, EGC sensor, breast abdominal respiration sensor, body dynamic sensor, at least one in limb activity sensor, the data output end of described physiological signal sensor and the data input pin of data processing equipment electrically connect, the control output end of described data processing equipment electrically connects with stimulating the control input end of tampering devic.
2. Worn type domestic sleep monitor as claimed in claim 1, is characterized in that: described physiological signal sensor is wireless senser.
3. Worn type domestic sleep monitor as claimed in claim 2, it is characterized in that: described wireless senser is the wireless senser based on bluetooth, described data processing equipment comprises Bluetooth wireless communication module and microprocessor, and the FPDP of described Bluetooth wireless communication module and the FPDP of microprocessor electrically connect.
4. Worn type domestic sleep monitor as claimed in claim 1, is characterized in that: described stimulation tampering devic comprises at least one in pulse electric shock device, speaker, vibrating motor.
5. the Worn type domestic sleep monitor as described in any one in claim 1 to 4, it is characterized in that: described physiological signal sensor comprises brain electric transducer, oximetry sensor, mouth and nose pneumatic sensor, sound of snoring sensor, dynamic sensor, EGC sensor, breast abdominal respiration sensor, body dynamic sensor and limb activity sensor, described monitoring band comprises head monitoring band, breast abdominal part monitoring band and limbs monitoring band, described brain electric transducer, oximetry sensor, mouth and nose pneumatic sensor, sound of snoring sensor and a dynamic sensor are arranged at head monitoring and are with, described EGC sensor, breast abdominal respiration sensor and body dynamic sensor are arranged at the monitoring of breast abdominal part and are with, described limb activity sensor setting is with in limbs monitoring.
6. Worn type domestic sleep monitor as claimed in claim 5, is characterized in that: described oximetry sensor is the reflective anti motion interference oximetry sensor of forehead.
7. Worn type domestic sleep monitor as claimed in claim 5, is characterized in that: described sound of snoring sensor is electret microphone.
8. Worn type domestic sleep monitor as claimed in claim 5, is characterized in that: described dynamic sensor and limb activity sensor are acceleration transducer.
9. Worn type domestic sleep monitor as claimed in claim 5, is characterized in that: described body dynamic sensor comprises acceleration transducer, pressure wave sensor and breast abdomen impedance transducer.
Priority Applications (1)
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CN201320607197.6U CN203524646U (en) | 2013-09-29 | 2013-09-29 | Wearable domestic sleep monitor |
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CN201320607197.6U CN203524646U (en) | 2013-09-29 | 2013-09-29 | Wearable domestic sleep monitor |
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CN201320607197.6U Expired - Fee Related CN203524646U (en) | 2013-09-29 | 2013-09-29 | Wearable domestic sleep monitor |
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Cited By (17)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN103984122A (en) * | 2014-06-06 | 2014-08-13 | 万新光学集团有限公司 | Snore-stopping and sleeping-aiding spectacles |
CN104095620A (en) * | 2014-07-04 | 2014-10-15 | 上海理工大学 | Physical sign monitoring vibration device |
CN104257353A (en) * | 2014-10-22 | 2015-01-07 | 南京邮电大学 | Sleep apnea syndrome detecting system |
CN104274173A (en) * | 2014-10-31 | 2015-01-14 | 思澜科技(成都)有限公司 | Bio-impedance-based wearable sleep respiration state monitoring system |
CN104523283A (en) * | 2015-02-02 | 2015-04-22 | 成都星炫科技有限公司 | Blood oxygen detection device |
CN104887223A (en) * | 2015-05-27 | 2015-09-09 | 杭州回车电子科技有限公司 | Wireless dry electrode EEG collection and action recognition method and system |
CN105596007A (en) * | 2014-11-24 | 2016-05-25 | 张湘民 | Snore position minitype recorder |
CN106073710A (en) * | 2016-06-06 | 2016-11-09 | 宁波力芯科信息科技有限公司 | Intelligent worn device and the control method of Intelligent worn device |
WO2016177350A1 (en) * | 2015-05-04 | 2016-11-10 | 思澜科技(成都)有限公司 | Bio-impedance-based sleep breathing state signal acquisition device and monitoring system |
CN107095658A (en) * | 2017-05-27 | 2017-08-29 | 铂元智能科技(北京)有限公司 | Wireless multi-parameter module |
WO2018098928A1 (en) * | 2016-12-02 | 2018-06-07 | 深圳市前海康启源科技有限公司 | Wearable monitoring device having electroencephalogram monitoring function |
WO2018120640A1 (en) * | 2016-12-30 | 2018-07-05 | 深圳市善行医疗科技有限公司 | Sleep monitoring system for aged people |
WO2018120639A1 (en) * | 2016-12-30 | 2018-07-05 | 深圳市善行医疗科技有限公司 | Child sleep monitoring system |
CN108309277A (en) * | 2018-02-01 | 2018-07-24 | 深圳市禹欣鑫电子有限公司 | The Intelligent monitoring device of sleep apnea based on brain electricity and blood oxygen saturation |
CN108778096A (en) * | 2017-12-12 | 2018-11-09 | 深圳和而泰数据资源与云技术有限公司 | A kind of method, apparatus and system promoting memory effect |
CN109925587A (en) * | 2019-03-18 | 2019-06-25 | 西安电子科技大学 | A kind of deep sleep improvement detection system and method based on biological low noise |
CN113662512A (en) * | 2021-08-26 | 2021-11-19 | 上海市普陀区人民医院(上海纺织第一医院) | Portable sleep monitor and sleep monitoring method |
-
2013
- 2013-09-29 CN CN201320607197.6U patent/CN203524646U/en not_active Expired - Fee Related
Cited By (17)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN103984122A (en) * | 2014-06-06 | 2014-08-13 | 万新光学集团有限公司 | Snore-stopping and sleeping-aiding spectacles |
CN104095620A (en) * | 2014-07-04 | 2014-10-15 | 上海理工大学 | Physical sign monitoring vibration device |
CN104257353A (en) * | 2014-10-22 | 2015-01-07 | 南京邮电大学 | Sleep apnea syndrome detecting system |
CN104274173A (en) * | 2014-10-31 | 2015-01-14 | 思澜科技(成都)有限公司 | Bio-impedance-based wearable sleep respiration state monitoring system |
CN105596007A (en) * | 2014-11-24 | 2016-05-25 | 张湘民 | Snore position minitype recorder |
CN104523283A (en) * | 2015-02-02 | 2015-04-22 | 成都星炫科技有限公司 | Blood oxygen detection device |
WO2016177350A1 (en) * | 2015-05-04 | 2016-11-10 | 思澜科技(成都)有限公司 | Bio-impedance-based sleep breathing state signal acquisition device and monitoring system |
CN104887223A (en) * | 2015-05-27 | 2015-09-09 | 杭州回车电子科技有限公司 | Wireless dry electrode EEG collection and action recognition method and system |
CN106073710A (en) * | 2016-06-06 | 2016-11-09 | 宁波力芯科信息科技有限公司 | Intelligent worn device and the control method of Intelligent worn device |
WO2018098928A1 (en) * | 2016-12-02 | 2018-06-07 | 深圳市前海康启源科技有限公司 | Wearable monitoring device having electroencephalogram monitoring function |
WO2018120640A1 (en) * | 2016-12-30 | 2018-07-05 | 深圳市善行医疗科技有限公司 | Sleep monitoring system for aged people |
WO2018120639A1 (en) * | 2016-12-30 | 2018-07-05 | 深圳市善行医疗科技有限公司 | Child sleep monitoring system |
CN107095658A (en) * | 2017-05-27 | 2017-08-29 | 铂元智能科技(北京)有限公司 | Wireless multi-parameter module |
CN108778096A (en) * | 2017-12-12 | 2018-11-09 | 深圳和而泰数据资源与云技术有限公司 | A kind of method, apparatus and system promoting memory effect |
CN108309277A (en) * | 2018-02-01 | 2018-07-24 | 深圳市禹欣鑫电子有限公司 | The Intelligent monitoring device of sleep apnea based on brain electricity and blood oxygen saturation |
CN109925587A (en) * | 2019-03-18 | 2019-06-25 | 西安电子科技大学 | A kind of deep sleep improvement detection system and method based on biological low noise |
CN113662512A (en) * | 2021-08-26 | 2021-11-19 | 上海市普陀区人民医院(上海纺织第一医院) | Portable sleep monitor and sleep monitoring method |
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C14 | Grant of patent or utility model | ||
GR01 | Patent grant | ||
CF01 | Termination of patent right due to non-payment of annual fee | ||
CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20140409 |