CN106419845A - Sleep monitoring apparatus and method based on piezoelectric ceramic sensor - Google Patents
Sleep monitoring apparatus and method based on piezoelectric ceramic sensor Download PDFInfo
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- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
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- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/02—Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
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- A61B5/02—Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
- A61B5/024—Detecting, measuring or recording pulse rate or heart rate
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- A61B5/103—Detecting, measuring or recording devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
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Abstract
The invention provides a pillow-type sleep monitoring apparatus and a sleep monitoring method based on a piezoelectric ceramic sensor. The sleep monitoring apparatus comprises a sleep signal acquisition device, a data interface, a signal processing device, a micro controller and terminal equipment which are sequentially connected by virtue of connecting wires; the sleep monitoring apparatus is characterized in that the sleep signal acquisition device comprises a main body, wherein a space is kept in the main body for holding the piezoelectric ceramic sensor; the piezoelectric ceramic sensor is connected to the data interface by virtue of a transmission lead; and the data transmission device is connected to the terminal equipment by virtue of a USB interface. According to the sleep monitoring apparatus and the sleep monitoring method provided by the invention, tiny pressure change in a human body under a natural sleep state can be sensed, so that such physiological statuses as heart rate, breathing, body motion and the like of the human body in sleep can be monitored in real time; the sleep monitoring apparatus and the sleep monitoring method are good in monitoring effect, high in accuracy rate, low in cost and low in load, and by analyzing sleep data, health assisting service can be provided to users; and the sleep monitoring apparatus and the sleep monitoring method and applicable to long-term monitoring and nursing in common families.
Description
Technical field
The invention belongs to intelligent health perception field, more particularly, to a kind of sleep monitor dress based on piezoceramic transducer
Put and method.
Background technology
Present society is in the trend of population structure quick aging, and the physical and mental health of old people gradually weakens, and this will
Bring obstacle to their daily life, even can lose self care ability under serious conditions, old people is auxiliary to daily life
The expansion helping demand has become as inexorable trend.
Studies have found that, with age, old quality of human sleeping declines, can induce various chronic diseases, and people
1/3rd times were spent in sleep, to continue, to perceive Human Physiology in the way of non-interference under this naturalness
State, for discovery in advance, predicts cardiovascular and cerebrovascular diseases associated important in inhibiting.
In medical domain, the potential change that electrocardio perception device obtains various ways from table body obtains electrocardiogram, thus real
When ground accurately obtain the information such as heart rate breathing, but need patient's adhesion multiple electrodes, affect its normal activity, medical personnel operate
Get up sufficiently complex, patient needs the testing cost costliness born, and the physiology of patient, mental workload are larger；In smart home neck
Domain, existing many monitoring devices need to arrange multiple sensors, obtain various sleep physiology signals respectively, relatively costly, behaviour
Make complicated, impact sleep, and most counting apparatus are off-line monitoring mode it is impossible to realize real-time, visual monitoring.Therefore,
Realize a kind of low cost, underload, high-accuracy, in real time, visually can monitor user's sleep info, and to user
The apparatus and method of healthy assistant service are provided, are technical problem urgently to be resolved hurrily in the industry.
Content of the invention
For disadvantages described above, the present invention provides one kind in real time, visually can monitor user's sleep info, and to
Family provides the apparatus and method of healthy assistant service.
The present invention provides a kind of sleep monitoring device based on piezoceramic transducer, including be sequentially connected with connecting line
Sleep signal harvester, data-interface, signal processing apparatus, microcontroller, terminal unit it is characterised in that：Described sleep
Signal pickup assembly includes body, between described is had time in vivo, for placing piezoceramic transducer, described piezoelectric ceramics sensing
Device is connected with data-interface by transfer wire；USB interface and terminal unit phase are provided by described data transmission device
Connect.
Further, described in a kind of sleep monitoring device based on piezoceramic transducer, piezoceramic transducer includes
Piezoceramic transducer housing, piezoelectric ceramic piece, described piezoceramic transducer enclosure interior is provided with space, described piezoelectric ceramics
Piece is arranged in the inner space of piezoceramic transducer housing, and described piezoelectric ceramic piece top and bottom are passed with described piezoelectric ceramics
Sensor housing is in close contact.
Further, described in a kind of sleep monitoring device based on piezoceramic transducer, transfer wire includes positive and negative two
Root transfer wire, described piezoelectric ceramic piece is connected in parallel on transfer wire.
Further, the setting of piezoceramic transducer described in a kind of sleep monitoring device based on piezoceramic transducer
Center in body interior space.
Further, the signal processing apparatus described in a kind of sleep monitoring device based on piezoceramic transducer include
Wave filter, signal amplifier；Microcontroller includes analog-digital converter.
Further, the quantity of the piezoelectric ceramic piece described in a kind of sleep monitoring device based on piezoceramic transducer
It is at least 2, be evenly distributed in piezoceramic transducer housing.
Preferably, the body described in a kind of sleep monitoring device based on piezoceramic transducer is medicated pillow.
The present invention also provides a kind of sleep monitor method based on piezoceramic transducer, and technical scheme is：A kind of sleep
Monitoring method, including piezoceramic transducer, signal processing module, micro controller module, terminal unit；Comprise the following steps：
S1：By described piezoceramic transducer collection sleep physiology signal；
S2：Noise filtering process, processing and amplifying are carried out to sleep physiology signal by described signal processing module；
S3：Sleep physiology signal after processing is converted into by digital signal by described micro controller module, is sent to terminal and sets
Standby；
S4：By terminal unit, digital signal is processed, realize the separation of physiological signal, the physiologic information after separation is real
When show；
S5：Interconnected with server by terminal unit, and dormant data is carried out storing, analyzes by server, disease is provided
The healthy assistant services such as prediction, sleep stage, sleep quality assessment.
Further, detached physiology letter in the S4 described in a kind of sleep monitor method based on piezoceramic transducer
Number dynamic for heart rate, breathing, body；The physiologic information of described display is heart rate waveform and numerical value, breathing rate waveform and numerical value, body are dynamic secondary
Number.
Further, the terminal unit pair in the S4 described in a kind of sleep monitor method based on piezoceramic transducer
Digital signal is further processed, including body movement signal separation algorithm, using sliding window threshold detection method；Heart rate signal carries
Take algorithm, using wavelet transformation analysis method；Breath signal extraction algorithm, using the finite impulse response based on least mean-square error
Filter method.
Sleep monitoring device involved in the present invention and sleep monitor method, can perceive people under natural sleep state
Trickle pressure change, and the signal transmission after processing is carried out to terminal unit and result shows by data analysiss by signal processing
Show, in real time, visually the monitoring of physiological statuss such as realize the heart rate in sleep for the people, breathing, body are moved, low cost, bear
Lotus is low, monitoring effect is good, accuracy rate is high, and can provide the user healthy assistant service by dormant data analysis, is suitable for one
As the nursing of family long term monitoring use.
Brief description
Fig. 1 is a kind of overlooking the structure diagram of real-time sleep monitoring device of the present invention；
Fig. 2 is a kind of cross-sectional view of real-time sleep monitoring device of the present invention；
Fig. 3 is a kind of another embodiment overlooking the structure diagram of real-time sleep monitoring device of the present invention；
Fig. 4 is a kind of steps flow chart schematic diagram of real-time sleep monitor method of the present invention；
Fig. 5 is a kind of hardware block diagram of real-time sleep monitoring device of the present invention；
Fig. 6 is a kind of sleep physiology primary signal figure of real-time sleep monitoring device collection of the present invention；
Fig. 7 is the heart rate waveform figure and numerical value after a kind of real-time sleep monitoring device of the present invention is processed；
Fig. 8 is the breathing rate oscillogram and numerical value after a kind of real-time sleep monitoring device of the present invention is processed；
Wherein 1 body, 2 piezoceramic transducers, 3 signal processing apparatus, 4 microcontrollers, 5USB interface, 6 piezoelectric ceramic pieces, 7
Piezoceramic transducer housing, 8 transfer wires, 9 data-interfaces.
Specific embodiment
Below in conjunction with brief description and specific embodiment, the present invention is described in further detail.
A kind of sleep monitoring device of present invention offer specifically to be described with reference to Fig. 1, Fig. 2, Fig. 3.
Embodiment 1：
With reference to Fig. 1, Fig. 2, a kind of sleep monitoring device, including the sleep signal harvester being sequentially connected with connecting line, data
Interface 9, signal processing apparatus 3, microcontroller 4, terminal unit, described sleep signal harvester includes body 1, described body
There is space, for placing piezoceramic transducer 2, described piezoceramic transducer 2 passes through transfer wire 8 and data-interface 9 in 1
Connect；It is provided by USB interface 5 on described data transmission device 4 to be connected with terminal unit.Described piezoceramic transducer
2 include piezoceramic transducer housing 7, piezoelectric ceramic piece 6, are provided with space inside described piezoceramic transducer housing 7, described
Piezoelectric ceramic piece 6 is arranged in the inner space of piezoceramic transducer housing 7, described piezoelectric ceramic piece 7 top and bottom with described
Piezoceramic transducer housing 7 is in close contact.Described transfer wire 8 includes positive and negative two transfer wires, described piezoelectric ceramic piece 6
It is connected in parallel on transfer wire 8.Described signal processing apparatus (3) include wave filter, signal amplifier.
Wherein said wave filter is made up of low pass filter and band filter, for the various noises in filtering appts；
The weak voltage signals that piezoelectric ceramic piece produces are amplified by signal amplifier module；Analog-digital converter with certain frequency to amplify after
Voltage signal sampling, and voltage signal is converted into digital signal.
When gathering sleep physiology signal, people's trickle pressure change in sleep is delivered to piezoelectric ceramics above body 1
Sensor housing 7, then it is delivered to the piezoelectric ceramic piece 6 of inside, thus producing voltage signal, then processing further and being shown in
Terminal unit.
Uniformly perceive the pressure coming from outside piezoceramic transducer housing 7 for ease of piezoceramic transducer 2, this
The piezoceramic transducer housing 7 of device is designed as flat；Described piezoceramic transducer 2 is arranged on body 1 inner space
In center；The material of the piezoceramic transducer housing 7 in this device can be plastics, plastic cement sponge, synthetic cotton, slow
The materials such as resilience cotton, Testa Fagopyri Esculenti.
It is readily apparent that, the body 1 of this device is medicated pillow, the trickle pressure change that during collection people's sleep, head produces.
Embodiment 2：
With reference to Fig. 1, Fig. 1, the technical scheme of the present embodiment is substantially similar with embodiment 1 principle, for the basis that thicker, volume are larger
Body 1, for increasing lifting surface area and sensor senses sensitivity, arranges multiple piezoelectric ceramic pieces 6 in piezoceramic transducer 2,
Fig. 3 is shown as 4 piezoelectric ceramic pieces 6；
For comprehensive collection sleep signal, multiple piezoelectric ceramic pieces 6 are evenly distributed on piezoceramic transducer 2 by this device
Among the inner hollow interlayer of piezoceramic transducer housing 7, described transfer wire 8 includes positive and negative two, multiple piezoelectric ceramics
Piece 6 is connected in parallel on transfer wire 8.
To specifically describe a kind of sleep monitor method based on piezoceramic transducer of the present invention with reference to Fig. 4-Fig. 8,
Comprise the following steps：
S1：By piezoceramic transducer collection sleep physiology signal；
When certain user adopts normal sleeping posture, head can produce certain pressure to medicated pillow, is now embedded in sleep
Perception medicated pillow in piezoceramic transducer can collect the pressure signal producing during sleep, and be converted into weak voltage signals (<
100mV) it is transferred to signal processing module.
S2：Noise filtering process, processing and amplifying are carried out to sleep physiology signal by signal processing module；
After signal processing module receives above-mentioned weak voltage signals, by band filter by physiology signal frequency band
(0.1-2Hz) noise filtering beyond is removed, and then by signal amplifier, sleep physiology signal is amplified to analog-digital converter
Sample range within (2V about), and be transferred to micro controller module.
Band filter described in the present embodiment is amplified using the active band-pass filter based on OP07 integrated transporting discharging, signal
Device module is made up of the in-phase proportion amplifier based on OP07 and voltage follower.
S3：Sleep physiology signal after processing is converted into by digital signal by micro controller module, is sent to terminal and sets
Standby；After voltage signal after receiving amplification for the micro controller module, single-chip microcomputer passes through instruction and controls analog-digital converter will amplify
Voltage signal afterwards is converted into digital signal, and controls communication module to transfer data to terminal unit by serial ports.This enforcement
Described in example, single-chip microcomputer adopts STM32F103ZET6, and analog-digital converter adopts 12 bit pads within single-chip microcomputer, output letter
Number be 12 position digital signals；The TTL rs 232 serial interface signal of single-chip microcomputer is converted to usb signal by PL2303 chip and passes by described communication module
It is defeated by terminal unit.
S4：By terminal unit, digital signal is further processed, realizes the separation of physiological signal, after separation
Physiologic information shows in real time.Fig. 5 is sleep original physiologic signal, in the present embodiment, physiological signal is separated into heart rate, is exhaled
Inhale, body moves, the physiologic information of corresponding display is heart rate waveform and numerical value, breathing rate waveform and numerical value, body move number of times.
S5：Interconnected with server by terminal unit, and dormant data is carried out storing, analyzes by server, provide
Healthy assistant service；
Terminal unit is by the sleep physiology uploading information data gathering to server, server integrative medicine standard and medical grade
Algorithm sleep physiology information is analyzed, realize strong for the disease forecasting of user, sleep stage, sleep quality assessment etc.
Health back work, and the application program in terminal unit synchronizes, user can intuitively check its institute on the terminal device
The healthy assistant analysis result being concerned about.
In the present invention, include but to be not limited to serial ports, USB, bluetooth, WIFI etc. wired for the sending method of micro controller module
Or communication；Terminal unit in the present invention includes but is not limited to PC, smart mobile phone etc. and has data processing work(
Can hardware device, by designing corresponding program, APP in that context it may be convenient to carry out data processing and result shows.
Body movement signal separation algorithm described in the present embodiment adopts sliding window threshold detection method, specially：
1) first primary signal is carried out framing, frame length is set to 10 seconds, consecutive frame overlaps 5 seconds, make the frame number got be N；
2) then calculate every frame primary signal standard deviation, be designated as std_window (i), wherein i=1,2 ..., N, obtain length
Standard difference sequence for N；
3) calculate average and the standard deviation of this standard difference sequence, be designated as Mean_W and Std_W；
4) given threshold is differentiated：Wherein threshold value is Threshold=Mean_W+0.2*Std_W；
5) finally judge：If std_window (i)<=Threshold, the body movement signal of this frame corresponding region is labeled as 0,
Indicate that no body moves to occur；The body movement signal of the corresponding region of residue frame is labeled as 1, indicates that body moves and occurs.And number of times is moved to body
Count, then show in real time.
Heart rate signal extraction algorithm described in the present embodiment adopts wavelet transformation analysis method, specially：
1) parameter extracting the band filter of initial heart rate ripple first is as follows：Cut-off frequecy of passband is 0.8-12HZ, and stopband cuts
Only frequency is 0.7-12.5Hz, and exponent number is 300；Wavelet analysises, Selection of Wavelet Basis db6 are done to initial heart rate ripple, carries out 6 yardsticks and divide
Solution, and take final heart rate ripple for the 2nd layer of detail signal to the 5th layer of detail signal sum, i.e. d5+d4+d3+d2.
2), after isolating heart rate ripple, calculate heart rate using eartbeat interval.Sliding window mean value smoothing, window are carried out to signal
Length is 0.1*fs, and fs is the sample frequency of signal；
3) framing is carried out to data, frame length is 10 seconds；
4) seek the maximum of every frame, and set primary election peak dot threshold value as the average of maximum；More than the maximum point of this threshold value it is
Primary election peak dot, if primary election peak dot is less than 15, threshold value reduces by 50%：
5) if peak dot interval is less than heart beating minimum interval, remove the little peak dot of amplitude；
6) if peak dot amplitude is less than 50% of 9 maximum peak dot amplitude equalizing value in this section, remove this peak dot；If peak dot number is little
In 9, then take this section of peak dot average 50%；
7) remove the less point of absolute amplitude：After this algorithm definition peak dot amplitude is the amplitude between peak dot for the front valley point in peak and peak
Valley point is to the meansigma methodss of the amplitude of peak dot.Define the 50% of the average that amplitude threshold is the maximum peak dot amplitude of this section 9, less than this
The peak dot of threshold value removes；If peak dot number be less than 9, take this section of peak dot average 50%；
8) remove the less peak dot of slope：Peak dot slope is defined as the rate of rise and the average of descending slope.Slope threshold value is 9
The 50% of the average of greatest gradient, the peak dot that slope is less than this threshold value removes, if slope number is less than 9, threshold value is slope
The 50% of average；
9) the little peak dot of amplitude less than the 60% of the average at 9 in remaining peak dot maximum peak dot intervals, is then removed in peak dot interval；
10) to the eartbeat interval sequence after above-mentioned steps are processed, carry out Conversion of measurement unit, obtain heart rate, and by heart rate waveform
Show in real time with numerical value, see Fig. 7.
Breath signal extraction algorithm described in the present embodiment is using the finite impulse response filtering based on least mean-square error
Device method, the parameter setting extracting the band filter of respiratory wave is as follows：Cut-off frequecy of passband is set to 0.1-0.5Hz, and stopband cuts
Only frequency is 0.08-0.7Hz, and exponent number is 300.After isolating respiratory wave, calculate breathing rate using the breathing cycle, implement step
Suddenly as follows：
1) calculate all maximum of respiratory wave and its position, be stored in firstMax and firstMaxPosition respectively；
2) if the interval between maximum be less than 2 seconds, the less extreme point of amplitude of removing, result be stored in secondMax and
In seeondMaxPosition；
3) seek the left and right slope of remaining extreme point, and remember that the slope of this extreme value is the meansigma methodss of left and right slope, result is stored in slope
In；
4) if the slope value in slope is less than the 50% of 6 slope averages in front and back, this corresponding extreme point of point, result are removed
It is stored in threeMax and threeMaxPosition；
5) peak dot is asked to be spaced, if this point, more than the 20% of the meansigma methodss at 20 in front and back intervals, is removed in interval；
6) to its respiratory intervals value after above-mentioned steps are processed, carry out Conversion of measurement unit, obtain breathing rate, and by breathing rate waveform
Show in real time with numerical value, see Fig. 8.
Sleep monitoring device involved in the present invention and method, perceive people in natural sleep shape by piezoceramic transducer
Trickle pressure change under state, and the signal transmission after processing is set to terminal with data transmission device by described signal processing
Standby carry out data analysiss and result in real time and show, realize the physiological statuss such as dynamic to the heart rate in sleep for the people, breathing, body
Real-time monitoring, monitoring effect is good, accuracy rate is high, low cost, underload, simple to operate, and can be analyzed by dormant data and be
User provides healthy assistant service, is suitable for the long term monitoring nursing of general family and uses.
Specific embodiment specifically described herein is only the explanation for example to the present invention.Technology people of the art
Member can modification, supplement or the employing of various modes are similar to be substituted to make to described specific embodiment, but without departing from this
Bright spirit or surmount scope defined in appended claims.
Claims (10)
1. a kind of sleep monitoring device based on piezoceramic transducer, including the sleep signal collection being sequentially connected with connecting line
Device, data-interface (9), signal processing apparatus (3), microcontroller (4), terminal unit it is characterised in that：Described sleep signal
Harvester includes body (1), has space in described body (1), for placing piezoceramic transducer (2), described piezoelectricity pottery
Porcelain sensor (2) is connected with data-interface (9) by transfer wire (8)；It is provided by described data transmission device (4)
USB interface (5) is connected with terminal unit.
2. a kind of sleep monitoring device based on piezoceramic transducer according to claim 1 it is characterised in that：Described
Piezoceramic transducer (2) includes piezoceramic transducer housing (7), piezoelectric ceramic piece (6), described piezoceramic transducer shell
It is provided with space, described piezoelectric ceramic piece (6) is arranged in the inner space of piezoceramic transducer housing (7), institute inside body (7)
State piezoelectric ceramic piece (7) top and bottom to be in close contact with described piezoceramic transducer housing (7).
3. a kind of sleep monitoring device based on piezoceramic transducer according to claim 1 it is characterised in that：Described
Transfer wire (8) includes positive and negative two transfer wires, and described piezoelectric ceramic piece (6) is connected in parallel on transfer wire (8).
4. a kind of sleep monitoring device based on piezoceramic transducer according to claim 1 it is characterised in that：Described
Piezoceramic transducer (2) is arranged on the center in body (1) inner space.
5. a kind of sleep monitoring device based on piezoceramic transducer according to claim 1 it is characterised in that：Described
Signal processing apparatus (3) include wave filter, signal amplifier；Described microcontroller (4) includes analog-digital converter.
6. a kind of sleep monitoring device based on piezoceramic transducer according to claim 1 it is characterised in that：Described
The quantity of piezoelectric ceramic piece (6) be at least 2, be evenly distributed in piezoceramic transducer housing (7).
7., according to a kind of arbitrary described sleep monitoring device based on piezoceramic transducer of claim 1-6, its feature exists
In：Described body (1) is medicated pillow.
8. a kind of sleep monitor method based on piezoceramic transducer, including piezoceramic transducer, signal processing module, micro-
Controller module, terminal unit；It is characterized in that, comprise the following steps：
S1：Sleep physiology signal is gathered by described piezoceramic transducer；
S2：Noise filtering process, processing and amplifying are carried out to sleep physiology signal by signal processing module；
S3：Sleep physiology signal after processing is converted into by digital signal by micro controller module, is sent to terminal unit；
S4：By terminal unit, digital signal is processed, realize the separation of physiological signal, the physiologic information after separation is real
When show；
S5：Interconnected with server by terminal unit, and dormant data is carried out storing, analyzes by server, correlation is provided
Healthy assistant service.
9. a kind of sleep monitor method based on piezoceramic transducer according to claim 8 it is characterised in that：Described
S4 in detached physiological signal be heart rate, breathing, body dynamic；The physiologic information of described display is heart rate waveform and numerical value, breathing
Rate waveform and numerical value, body move number of times.
10. a kind of sleep monitor method based on piezoceramic transducer according to claim 9 it is characterised in that：Institute
Terminal unit in the S4 stating is further processed to digital signal, including body movement signal separation algorithm, using sliding window
Threshold detection method；Heart rate signal extraction algorithm, using wavelet transformation analysis method；Breath signal extraction algorithm, using based on minimum
The finite impulse response filter method of mean square error.
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Cited By (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107713991A (en) * | 2017-11-08 | 2018-02-23 | 四川大学 | Sign detection means, method and system |
| CN108697348A (en) * | 2018-03-16 | 2018-10-23 | 深圳和而泰数据资源与云技术有限公司 | A kind of physiologic information monitoring method and physiologic information monitoring pad, a kind of mattress |
| CN110115583A (en) * | 2018-02-07 | 2019-08-13 | 普天信息技术有限公司 | The method and apparatus of monitoring of respiration |
| CN110251113A (en) * | 2019-06-14 | 2019-09-20 | 广东工业大学 | A kind of wireless heart rate detector and detection method |
| CN110313897A (en) * | 2019-07-04 | 2019-10-11 | 合肥赛为智能有限公司 | Sleep monitoring device and its monitoring method based on silica gel air bag |
| CN110794486A (en) * | 2018-08-02 | 2020-02-14 | 北京交通大学 | Rainfall sensor |
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| CN113842111A (en) * | 2020-06-28 | 2021-12-28 | 珠海格力电器股份有限公司 | Sleep staging method and device, computing equipment and storage medium |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104224115A (en) * | 2014-08-25 | 2014-12-24 | 杨松 | Device for detecting physiological signals of human body |
| CN104586422A (en) * | 2015-02-13 | 2015-05-06 | 清华大学 | Multi-physiological acoustic parameter acquisition system |
| CN204410796U (en) * | 2015-01-15 | 2015-06-24 | 北京大众益康科技有限公司 | Physiological parameter acquisition device and monitoring system |
| CN105919716A (en) * | 2016-05-18 | 2016-09-07 | 深圳市云传智联技术有限公司 | Sleeping posture regulating device and sleeping posture regulating system |
-
2016
- 2016-10-11 CN CN201610887369.8A patent/CN106419845B/en not_active Expired - Fee Related
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104224115A (en) * | 2014-08-25 | 2014-12-24 | 杨松 | Device for detecting physiological signals of human body |
| CN204410796U (en) * | 2015-01-15 | 2015-06-24 | 北京大众益康科技有限公司 | Physiological parameter acquisition device and monitoring system |
| CN104586422A (en) * | 2015-02-13 | 2015-05-06 | 清华大学 | Multi-physiological acoustic parameter acquisition system |
| CN105919716A (en) * | 2016-05-18 | 2016-09-07 | 深圳市云传智联技术有限公司 | Sleeping posture regulating device and sleeping posture regulating system |
Cited By (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107713991A (en) * | 2017-11-08 | 2018-02-23 | 四川大学 | Sign detection means, method and system |
| CN110115583A (en) * | 2018-02-07 | 2019-08-13 | 普天信息技术有限公司 | The method and apparatus of monitoring of respiration |
| CN108697348A (en) * | 2018-03-16 | 2018-10-23 | 深圳和而泰数据资源与云技术有限公司 | A kind of physiologic information monitoring method and physiologic information monitoring pad, a kind of mattress |
| CN110794486A (en) * | 2018-08-02 | 2020-02-14 | 北京交通大学 | Rainfall sensor |
| CN110794486B (en) * | 2018-08-02 | 2022-04-05 | 北京交通大学 | Rainfall sensor |
| CN110251113A (en) * | 2019-06-14 | 2019-09-20 | 广东工业大学 | A kind of wireless heart rate detector and detection method |
| CN110313897A (en) * | 2019-07-04 | 2019-10-11 | 合肥赛为智能有限公司 | Sleep monitoring device and its monitoring method based on silica gel air bag |
| CN111345802A (en) * | 2020-03-16 | 2020-06-30 | 南京润楠医疗电子研究院有限公司 | Device and method for acquiring double heartbeat frequency based on cardiac shock signal |
| CN113842111A (en) * | 2020-06-28 | 2021-12-28 | 珠海格力电器股份有限公司 | Sleep staging method and device, computing equipment and storage medium |
| CN112254786A (en) * | 2020-09-14 | 2021-01-22 | 厦门精益远达智能科技有限公司 | Liquid level measuring method, device and equipment based on open space |
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