CN105852864A - Wearable respiratory monitoring system and monitoring method thereof - Google Patents
Wearable respiratory monitoring system and monitoring method thereof Download PDFInfo
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- A61B5/11—Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb
- A61B5/113—Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb occurring during breathing
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Abstract
The invention discloses a wearable respiratory monitoring system, comprising a wearable device for acquiring human body characterization information and ambient information; the wearable device is in signal connection with a data analysis system; an alarm is in signal connection with the data analysis system and gives a warning when the human body characterization information is abnormal or the wearable device and the data analysis system are disconnected; a cloud platform is in signal connection with the data analysis system and used to store various data information of the data analysis system; at least one client is in signal connection with the cloud platform and used to acquire various data information on the cloud platform. The invention also discloses a monitoring method of the wearable respiratory monitoring system. The wearable respiratory monitoring system is suitable for old people and children to wear, the monitoring method of this system can monitor real-time status of a wearer precisely through human body respiratory frequency, enables real-time understanding of information of a patient, such as disease condition and is safe and reliable, high in practicality, simple to use and easy to wear.
Description
Technical field
The present invention relates to Respiratory Care field, a kind of wearable Respiratory Care system and monitoring side thereof
Method.
Background technology
Owing to baby can be because the reasons such as the most prostrate or premature labor cease breathing and die suddenly, if old man is intentionally
The disease such as disease of ZANG-organs or apoplexy, it is also possible to cease breathing sudden death.Occur in that multiple exhaling the most on the market
Inhale monitoring device.
Such as the wearable device of the body-building for ordinary people, but its crowd being suitable for is limited, it is impossible to be suitable for
Child Yu or old man, and this equipment degree of accuracy is the highest, it is impossible to for medical monitoring.Such as bracelet etc.,
The activity data of wearer can only be noted down, it is impossible to effectively measure the breath state of wearer.Thus can not
The real danger of effective differentiation and sleep state.
And the professional respiratory monitor generally used in hospital, by being connected to the probe of patient, survey
Measure the change of thoracic cavity impedance thus obtain the data breathed.Such equipment is the heaviest, price
Expensive, it is impossible to dress, inertia.
Additionally on market also have a kind of based on pressure sensing principle can be with the product of perception baby's breath state
Product.But this series products is placed under mattress pressure transducer, therefore can only be suitable on infanette,
It is not suitable for old man to use.In existing baby monitor, have audio frequency monitor, video monitor with
And pressure monitor.Audio frequency monitor and video monitor can help father and mother to monitor whether baby cries and screams,
But can not monitor whether baby has the danger of sudden death.This is because these watch-dogs to cannot distinguish between baby normal
Sleep and the situation stopped of exhaling.Pressure monitor usually makes the mat of infanette, so can only supervise
Survey situation when baby lies on a bed.Additionally the sensitivity of pressure monitor is the highest, to the monitoring breathed not
It is especially sensitive.
Summary of the invention
It is an object of the invention to: provide a kind of wearable Respiratory Care system, it is possible to be applicable to various
The wearing of crowd, monitors the real-time status of wearer accurately by the respiratory frequency of human body, real-time
The information such as the state of an illness of solution wearer, situation, sleep state, the motion such as including the sudden death caused because of breathing
Situation etc..
Another object of the present invention is: provide the monitoring method of a kind of wearable Respiratory Care system.
Realize first purpose of the present invention technical scheme be: a kind of wearable Respiratory Care system,
Including
At least one wearable device, is worn on the chest locations of human body, for gather the characterization information of human body with
And ambient condition information, described characterization information includes respiration information；
One data analysis system, each described wearable device signal is connected to described data analysis system, institute
State data analysis system for analyzing characterization information and the surrounding of the human body that described wearable device is gathered
Environmental information；
One siren, signal is connected to described data analysis system, when the characterization information of human body occurs abnormal
Or described wearable device and described data analysis system generation disconnected state, described alarm equipment alarm；
One high in the clouds platform, signal is connected to described data analysis system, is used for storing described data analysis system
The various data messages of system；
At least one client, signal is connected to described high in the clouds platform, various for obtain on the platform of high in the clouds
Data message.
Each described wearable device includes
One sensor unit, including 3-axis acceleration sensor, described 3-axis acceleration sensor is used for adopting
The respiration information of collection human body；
One paster, described sensor unit is attached at the chest locations of human body by paster；
One micro-control unit, is connected to described sensor unit, is used for reading and transmit described sensor
The human body characterization information that unit is gathered.
Each described sensor unit also includes a sound transducer, and described sound transducer is worn for collection
Wearer and the acoustic information of surrounding.
Described sensor unit and described micro-control unit are arranged in a thin rounded flakes, described thin rounded flakes
A surface be provided with at least one catching groove；Described paster one surface is provided with at least one discount, described catching groove and institute
Stating discount position corresponding, described discount is buckled in described catching groove.
Described data analysis system includes
One data reception module；For receiving characterization information and the surrounding that described wearable device just gathers
Environmental information；
One respiration information analyzes module, for analyzing the respiration information that 3-axis acceleration sensor is gathered；
Described respiration information is analyzed module and is included
One data calibration module, the breathing letter gathered for axle each to described 3-axis acceleration sensor
Breath carries out data calibration；
One respiratory frequency computing module, for processing the letter of the breathing after described data calibration modular calibration
Breath；And acquisition respiratory frequency；
One threshold values contrast module, for presetting the threshold values of respiratory frequency；And for contrasting the breathing of acquisition
Whether frequency is beyond default threshold values.
Described respiration information is analyzed module and is also included that a filtration module, described filtration module are exhaled described in being connected to
Inhale between information analysis module and described respiratory frequency computing module.
The technical scheme realizing second purpose of the present invention is: the prison of a kind of wearable Respiratory Care system
Maintaining method, comprises the following steps:
S01: wearable device is attached at the chest locations of human body；
S02: utilize wearable device collection and the characterization information of transmission human body and ambient condition information；
S03: utilize data analysis system the to analyze characterization information of human body that described wearable device gathered with
And ambient condition information；
S04: contrast characterization information and the ambient condition information judging that data analysis system is analyzed；When
There is abnormal or described wearable device and described data analysis system generation disconnection shape in the characterization information of human body
State, described alarm equipment alarm；
S05: the characterization information of the human body after data analysis system analysis is stored to high in the clouds platform；
S06, utilizes client to check and downloads the data message in the platform of high in the clouds.
Described step S02 is further comprising the steps of:
S021: utilize sensor unit to obtain the characterization information of human body and ambient condition information, wherein,
Utilize 3-axis acceleration sensor to gather the respiration information of human body, utilize sound transducer for gathering wearing
Person and the acoustic information of surrounding；
S022: utilize micro-control unit obtain and transmission sensor unit obtain human body characterization information with
And ambient condition information.
Described step S03 is further comprising the steps of:
S031: utilize the respiration information that data calibration module axle each to 3-axis acceleration sensor is gathered
Carry out data calibration；
S032: the noise data after utilizing filtration module to filter data calibration；
S033: utilize respiratory frequency computing module to process after described data calibration modular calibration or filtering
Respiration information after modular filtration；And acquisition respiratory frequency；
S034: utilize threshold values contrast module to preset the threshold values of respiratory frequency；And the breathing frequency that contrast obtains
Whether rate is beyond default threshold values；When respiratory frequency is beyond default threshold values, data analysis system
Send alarm command to alarm；When respiratory frequency is beyond default threshold values, then return step S02.
When described step S034 utilizes the threshold values of described threshold values contrast module contrast respiratory frequency, according to
Other people body characterization information and the ambient condition information in addition to respiration information that wearable device is gathered, enters
Row comparison, other described human body characterization information include the acoustic information of wearer, the body temperature information of human body,
Movable information；Ambient condition information includes air themperature information, humidity information, acoustic information.
The invention have the advantage that the one wearable Respiratory Care system of the present invention can be suitable for old man,
The wearing of child, its monitoring method can monitor the real-time of wearer by the respiratory frequency of human body accurately
State, the information such as the real-time state of an illness understanding wearer；The mode of big data analyze wearer movement and
Breath data, according to data analysis, it was predicted that the contingent danger of wearer, thus reaches to report to the police in advance
Effect；Health status can also be analyzed, such as the length of one's sleep, activity time etc. be united
Meter is analyzed；Safe and reliable, Practical Performance is high, uses simple, and it is convenient to dress.
Accompanying drawing explanation
The invention will be further described with embodiment below in conjunction with the accompanying drawings.
Fig. 1 is the wearable Respiratory Care system structure schematic diagram of the embodiment of the present invention 1.
Fig. 2 is the wearable device side view of the embodiment of the present invention 1.
Fig. 3 is the wearable device top view of the embodiment of the present invention 1.
Fig. 4 is the wearable device internal cell structure schematic diagram of the embodiment of the present invention 1.
Fig. 5 is the module diagram of the data analysis system of the embodiment of the present invention 1.
Fig. 6 is the module diagram of the respiration information analysis module of the embodiment of the present invention 1.
Fig. 7 is the monitoring step flow chart of the wearable Respiratory Care system of the embodiment of the present invention 2.
Fig. 8 is the frequency response analysis figure of the Bessel band filter of the embodiment of the present invention 1.
Fig. 9 is the Z axis raw acceleration data analysis chart of the embodiment of the present invention 1.
Figure 10 is the filtered Z axis acceleration information analysis chart of the embodiment of the present invention 1.
Figure 11 be the embodiment of the present invention 1 initial data FFT after Z axis frequency domain absolute value data analysis chart.
Wherein.
1 wearable device；2 data analysis systems；3 high in the clouds platforms；
4 clients；11 thin rounded flakes；12 pasters；
13 sensor units；14 micro-control units；111 catching grooves；
121 discounts；131 3-axis acceleration sensors；132 sound transducers；
21 data reception modules；22 respiration informations analyze module；23 temperature analysis modules；
24 body temperature analyze module；25 air humiditys analyze module；26 sound analysis module；
221 data calibration modules；222 filtration modules；223 respiratory frequency computing modules；
224 threshold values contrast modules.
Detailed description of the invention
Embodiment 1: as it is shown in figure 1, a kind of wearable Respiratory Care system, including at least one wearing
Equipment 1, one data analysis system 2, siren, high in the clouds platform 3 and at least one client 4.
Siren signal is connected to data analysis system 2, when abnormal or described wearing occurs in the characterization information of human body
There is disconnected state, alarm equipment alarm in equipment 1 and described data analysis system 2.High in the clouds platform 3 signal
It is connected to data analysis system 2 for storing the various data messages of data analysis system 2.At least one visitor
Family end 4 signal is connected to high in the clouds platform 3, for obtaining the various data messages on high in the clouds platform 3.
Wherein, wearable device 1 is worn on the chest locations of human body, can be attached directly to skin surface, also
Can select to be attached to the surface of clothes.Wearable device 1 is for gathering characterization information and the surrounding of human body
Environmental information, characterization information include respiration information, the acoustic information of wearer, the body temperature information of human body,
Movable information etc.；Ambient condition information includes air themperature information, humidity information, acoustic information etc..
Concrete, as shown in Figure 2, Figure 3, Figure 4, each wearable device 1 includes a sensor unit
13, micro-control unit 14 and a paster 12.
Sensor unit 13 is attached at the chest locations of human body.Sensor unit 13 includes 3-axis acceleration
Sensor 131, sound transducer 132, temperature sensor humidity sensor etc..Wherein, three axles add
Velocity sensor 131 is based on MEMS and has high accuracy (more than 14bit), KXTJ9 such as Kionix
Deng, for gathering the respiration information of human body；Sound transducer 132 is based on MEMS and has low-power consumption,
For gathering the acoustic information of wearer and surrounding.Micro-control unit 14 is connected to sensor list
Unit 13, the acp chip of micro-control unit 14 supports BLE transmission and I2C bus and the transmission of A/D interface
Chip (for example CC2541 of Texas Instrument)；Micro-control unit 14 is for reading and transmission sensing
The human body characterization information that device unit 13 is gathered.Micro-control unit 14 is periodically read by I2C EBI
Take the 3-axis acceleration data of acceleration transducer, if sampled voice function is opened, micro-control unit 14
The data of sound transducer 132 are read also by A/D interface；Micro-control unit 14 is again by these data
Sending mobile device to by BLE, BLE is low-power consumption bluetooth equipment.It is to say, data reception
Block can be a transmission ends of low-power consumption bluetooth equipment.
Sensor unit 13 and micro-control unit 14 are arranged in a thin rounded flakes 11, thin rounded flakes 11
A surface be provided with 3 catching grooves 111；3 catching grooves 111 are evenly distributed on thin rounded flakes 11 in a triangle
Surface.Paster 12 1 surface is provided with 3 discounts 121, and catching groove 111 is corresponding with discount 121 position,
Discount 121 is buckled in catching groove 111.Scribble medical reusable silica gel on paster 12, paste wearing
The chest of person.Such design ensures that sensor unit 13 can next to the skin be dressed, and so breathes generation
Physical shocks just can be monitored by intact lost territory, thus accurately monitors breath state.By snapping
Connected mode, it is possible to real-time more emat sensor, change thin rounded flakes 11, facilitates cleaning and sterilizing, permissible
Repeatedly utilize.And such design is dressed convenient almost without what weight, wearer, is not hindered and wear
The normal activity of wearer.This is extremely important for the Respiratory Care of baby, because the breathing vibrations of baby are past
Toward more weak.Additionally when wearer medicated clothing is more, wearing the most next to the skin just can ensure that breath data
Precise acquisition.The most such design is also convenient for dressing, and will not bring any discomfort to wearer.So
Design be not only suitable for baby, be also applied for old man.It is that medical physics is controlled that paster 12 material can use
Treat non-woven fabrics electrode patch 12 material.On paster 12, medical silica-gel can stick in skin paster 12
On.The above of paster 12 has three discounts 121 paster 12 and sensor assembly can be fastened.So
Design ensure wearing next to the skin, the paster 12 that simultaneously more can also renew when paster 12 is pasted and lost efficacy.
Data analysis system 2 for analyze the human body that described wearable device 1 is gathered characterization information and
Ambient condition information；Each wearable device 1 signal is connected to data analysis system 2.Data analysis system
2 can be mobile panel computer, cell phone, desktop computer etc..
As it is shown in figure 5, data analysis system 2 includes data reception module 21, respiration information analysis
Module 22, one temperature analysis module 23, body temperature is analyzed module 24, air humidity and is analyzed module 25
And a sound analysis module 26 etc..
Data reception module 21 is used for receiving characterization information and the surrounding ring that wearable device 1 just gathers
Environment information.Respiration information analyzes module 22, for exhaling of analyzing that 3-axis acceleration sensor 131 gathered
Suction information；Temperature analysis module 23, air humidity analyze module 25 for analyze the temperature in air and
Humidity；Body temperature is analyzed module 24 and is used for analyzing human body temperature；Sound analysis module 26 is used for analyzing wearing
Acoustic information in acoustic information that person is sent and surrounding etc..
As shown in Figure 6, respiration information analysis module 22 includes that a data calibration module 221, filters mould
Block 222, one respiratory frequency computing module 223 and threshold values contrast module 224.
Wherein, data calibration module 221 is gathered for axle each to 3-axis acceleration sensor 131
Respiration information carries out data calibration.Respiratory frequency computing module 223, for processing through described data school
Respiration information after quasi-mode block 221 calibration；And acquisition respiratory frequency；Threshold values contrast module 224, uses
Threshold values in default respiratory frequency；And for whether contrasting the respiratory frequency of acquisition beyond default valve
Value.Filtration module 222 is band filter, and filtration module 222 is connected to described respiration information and analyzes mould
Between block 22 and described respiratory frequency computing module 223.
Concrete: 3-axis acceleration sensor 131 data that mobile device receives calculate through four steps
Go out respiratory frequency and alarm signal.First mobile device obtains wearable device 1 by BLE communications protocol
On acceleration transducer data.Each data point has 3 data.The these three data first step is passed through
Data calibration algorithm calibrated after data.The effect of calibration is the raw data of sensor to be changed
Become the data required for later stage calculating, depending on its specific algorithm is according to the sensor used.After calibration
Data can be submitted to band filter.Need exist for filtering out the data of direct current and high frequency, thus obtain
Arrive and the corresponding data of breath rhythm.Typically the cut-off frequency of bandpass filtering can be arranged on (0.3HZ,
2HZ) interval.Band filter can use Bessel algorithm.Data after after filtering will be submitted to
Fourier transform (FFT) link.Time-domain signal is changed into frequency-region signal by FFT, can effectively carry
Take the frequency of breathing.After FFT system using extract maximum frequency domain range value respective frequencies as exhaling
Inhale frequency.While calculating respiratory frequency, threshold value checks that all frequency domain digital absolute values are carried out by link
Integration, the numerical value obtained and the threshold value pre-set compare.If less than threshold value, meaning that and not having
Monitor enough respiratory movements, can report to the police.
A kind of detailed step that implement of modules is given below.
The every dimension of KXTJ9 acceleration transducer can be arranged to export 12 Bit data (XOUT,
YOUT, ZOUT), represent the acceleration value of (-2G ,+2G).12 the most one-dimensional Bit datas by
Two 8 bit register represent, are X respectivelyOUT_LAnd XOUT_H, YOUT_LAnd YOUT_H, ZOUT_L
And ZOUT_H.Low register (XOUT_L) high 4 low 4 bit data representing 12 bits；High-order
Depositor (XOUT_H) 8 most-significant byte data representing 12 bits.As shown in table 1: table 1 is
The register architecture of KXTJ9 acceleration transducer.
XOUT_L
| D3 | D2 | D1 | D0 | X | X | X | X |
| Bit7 | Bit6 | Bit5 | Bit4 | Bit3 | Bit2 | Bit1 | Bit0 |
XOUT_H
| D7 | D6 | D5 | D4 | D3 | D2 | D1 | D0 |
| Bit7 | Bit6 | Bit5 | Bit4 | Bit3 | Bit2 | Bit1 | Bit0 |
The computing formula that the accekeration of every axle is concrete is as follows.
Xacc=(XOUT_H＜ ＜ 4+XOUT_L＞ ＞ 4)/4096*4G
Yacc=(YOUT_H＜ ＜ 4+YOUT_L＞ ＞ 4)/4096*4G
Zacc=(ZOUT_H＜ ＜ 4+ZOUT_L＞ ＞ 4)/4096*4G
Wherein, Xacc、Yacc、ZaccAccekeration for each axle；XOUT_LAnd XOUT_H、YOUT_L
And YOUT_H、ZOUT_LAnd ZOUT_HRepresent represented by two 8 bit register the 12 of each axle respectively
Bit data；G is terrestrial gravitation value.
As shown in Figure 8, for the frequency response of Bessel band filter.Bessel band filter is permissible
Use following second order algorithm.
Y [n]=1/39.407 (x [n]-2x [n-2]+x [n-4])-0.605y [n-4]+2.677y [n-3]-
4.53y[n-2]+3.457y[n-1]
Data after digital filtering will submit to fast fourier transform (FFT) to calculate respiratory frequency.
In order to appropriately assess respiratory frequency, it would be desirable to analyze the sampled data of about 20 seconds.If sampling
Frequency is 10HZ, and for every one-dimensional data, we need to analyze 200 data points.In whole three number of axle evidences
The frequency domain data that generates of FFT in, we find the frequency corresponding to absolute value of maximum to be exactly the frequency breathed
Rate.
For example, Fig. 9 shows 200 initial datas of Z axis acceleration.Figure 10 show through
Cross the Z axis acceleration information of bandpass filtering.Fig. 7 shows the Z axis frequency domain absolute value number after FFT
According to.Wherein having reached maximum on the 8th frequency domain data point, corresponding respiratory frequency is (8/200)
* sample frequency (10HZ)=0.4HZ, namely 24 beats/min.
Additionally, respiration information analyzes module 22 can also omit filtering link, in raw acceleration data
On directly carry out FFT and calculate respiratory frequency and Threshold Alerts.Figure 11 shows on initial data direct
The result of FFT.It can be seen that FFT frequency domain still reaches maximum in the 8th data point.So also may be used
To detect respiratory frequency.Certainly after omission filtering link, the anti-interference of system is poor.
In order to monitor whether the situation of respiratory arrest, Threshold Alerts step has calculated three by all
The absolute value accumulation of axle FFT frequency domain response is got up, if this total absolute value is less than previously given threshold
Value, the situation turning out respiratory arrest occurs, and system will produce alarm signal.
Above FFT and Threshold Alerts calculate and can carry out once with every five seconds for example clock.This time interval is permissible
Regulated according to the hardware computing capability of mobile device by system.Slip numeral Fourier can also be used to become
Change the algorithm of (SDFT) to reduce the operation time of each FFT computing.
In addition to save the energy consumption of BLE communication, usual wearable device 1 accumulates multiple data point again
Property be sent to data analysis system 2, data analysis system 2 must have corresponding buffering to receive these numbers
According to.The most no longer describe in detail.
In addition to monitoring of respiration, system can also analyze wearer from the data of acceleration transducer and be
No at sleep state, and the health of sleep towards, if baby is chronically at prostrate state, system can
To report to the police.If wearer is tumbled, it is also possible to calculate from acceleration information.These calculate ratio
Relatively simple direct, the most no longer describe in detail.
Embodiment 2, as it is shown in fig. 7, the monitoring method of a kind of wearable Respiratory Care system, it is special
Levy and be, comprise the following steps:
S01: wearable device 1 is attached at the chest locations of human body；
S02: utilize wearable device 1 to gather and transmit characterization information and the ambient condition information of human body；
S03: utilize data analysis system 2 to analyze the sign letter of the human body that described wearable device 1 is gathered
Breath and ambient condition information；
S04: contrast characterization information and the ambient condition information judging that data analysis system 2 is analyzed；
When the characterization information of human body occurs that abnormal or described wearable device 1 and described data analysis system 2 occur to break
Even state, alarm equipment alarm；
S05: the characterization information of the human body after being analyzed by data analysis system 2 stores to high in the clouds platform 3；
S06, utilizes client 4 to check and download the data message in high in the clouds platform 3.
Described step S02 is further comprising the steps of.
S021: utilize sensor unit 13 to obtain characterization information and the ambient condition information of human body, its
In, utilize 3-axis acceleration sensor 131 to gather the respiration information of human body, utilize sound transducer 132
For gathering the acoustic information of wearer and surrounding.
S022.Utilize micro-control unit 14 to obtain and transmit sensor unit 13 and obtain the sign of human body
Information and ambient condition information.
Described step S03 is further comprising the steps of.
S031: utilize data calibration module 221 axle each to 3-axis acceleration sensor 131 to be gathered
Respiration information carries out data calibration.Described step S031 includes that 3-axis acceleration sensor 131 is each
The computing formula of the accekeration of axle.
Xacc=(XOUT_H ＜ ＜ 4+XOUT_L ＞ ＞ 4)/4096*4G
Yacc=(YOUT_H ＜ ＜ 4+YOUT_L ＞ ＞ 4)/4096*4G
Zacc=(ZOUT_H ＜ ＜ 4+ZOUT_L ＞ ＞ 4)/4096*4G
Wherein, Xacc, Yacc, Zacc are the accekeration of each axle；XOUT_L and XOUT_H,
YOUT_L and YOUT_H, ZOUT_L and ZOUT_H represent respectively each axle by two 8 bit register
12 Bit datas represented；G is terrestrial gravitation value.
S032: the noise data after utilizing filtration module 222 to filter data calibration.
S033: utilize respiratory frequency computing module 223 to process and calibrate through described data calibration module 221
Respiration information afterwards or after filtration module 222 filtration；And acquisition respiratory frequency.
S034: utilize threshold values contrast module 224 to preset the threshold values of respiratory frequency；And contrast exhaling of acquisition
Whether inhale frequency beyond default threshold values；When respiratory frequency is beyond default threshold values, data analysis
System 2 sends alarm command to alarm；When respiratory frequency is beyond default threshold values, then return step
Rapid S02.When described step S034 utilizes the threshold values of described threshold values contrast module contrast respiratory frequency, root
Other the human body characterization information in addition to respiration information gathered according to wearable device and ambient condition information,
Comparing, other described human body characterization information includes the body temperature letter of the acoustic information of wearer, human body
Breath, movable information etc.；Ambient condition information includes air themperature information, humidity information, acoustic information
Etc..Judge whether human body is in normal condition or state, as do not carried out strenuous exercise etc., because of
This, carry out respiratory frequency comparison in conjunction with the environment residing for human body and human body state in which, could give
Go out the information that more accurate respiratory frequency judges.When judging that human body is in abnormality: such as strenuous exercise or
Person is in improper environment: during such as hot environment, lower pressure environment, then data analysis system 2 sends prompting
Information.
Native system can reach the effect reported to the police in advance, it is also possible to is analyzed health status, the most right
The length of one's sleep, activity time etc. carry out statistical analysis；Such as baby whether overturn be pressed onto belly or
Whether person has tumbled, system can also note down length of one's sleep of baby old man.
It should be pointed out that, for the present invention through absolutely proving, also can have multiple conversion and remodeling
Embodiment, it is not limited to the specific embodiment of above-mentioned embodiment.Above-described embodiment is as just this
The explanation of invention rather than limitation of the present invention.In a word, protection scope of the present invention should include those
Obviously convert to those skilled in the art or substitute and remodeling.
Claims (10)
1. a wearable Respiratory Care system, it is characterised in that include
At least one wearable device, is worn on the chest locations of human body, for gather the characterization information of human body with
And ambient condition information, described characterization information includes respiration information；
One data analysis system, each described wearable device signal is connected to described data analysis system, institute
State data analysis system for analyzing characterization information and the surrounding of the human body that described wearable device is gathered
Environmental information；
One siren, signal is connected to described data analysis system, when the characterization information of human body occurs abnormal
Or described wearable device and described data analysis system generation disconnected state, described alarm equipment alarm；
One high in the clouds platform, signal is connected to described data analysis system, is used for storing described data analysis system
The various data messages of system；
At least one client, signal is connected to described high in the clouds platform, various for obtain on the platform of high in the clouds
Data message.
Wearable Respiratory Care system the most according to claim 1, it is characterised in that each
Described wearable device includes
One sensor unit, including 3-axis acceleration sensor, described 3-axis acceleration sensor is used for adopting
The respiration information of collection human body；
One paster, described sensor unit is attached at the chest locations of human body by paster；
One micro-control unit, is connected to described sensor unit, is used for reading and transmit described sensor
The human body characterization information that unit is gathered.
Wearable Respiratory Care system the most according to claim 2, it is characterised in that each
Described sensor unit also include a sound transducer, described sound transducer be used for gathering wearer and
The acoustic information of surrounding.
4. according to the wearable Respiratory Care system described in Claims 2 or 3, it is characterised in that
Described sensor unit and described micro-control unit are arranged in a thin rounded flakes, the one of described thin rounded flakes
Surface is provided with at least one catching groove；Described paster one surface is provided with at least one discount, described catching groove and described button
Head position is corresponding, and described discount is buckled in described catching groove.
Wearable Respiratory Care system the most according to claim 2, it is characterised in that described
Data analysis system includes
One data reception module；For receiving characterization information and the surrounding that described wearable device just gathers
Environmental information；
One respiration information analyzes module, for analyzing the respiration information that 3-axis acceleration sensor is gathered；
Described respiration information is analyzed module and is included
One data calibration module, the breathing letter gathered for axle each to described 3-axis acceleration sensor
Breath carries out data calibration；
One respiratory frequency computing module, for processing the letter of the breathing after described data calibration modular calibration
Breath；And acquisition respiratory frequency；
One threshold values contrast module, for presetting the threshold values of respiratory frequency；And for contrasting the breathing of acquisition
Whether frequency is beyond default threshold values.
Wearable Respiratory Care system the most according to claim 5, it is characterised in that described
Respiration information is analyzed module and is also included that a filtration module, described filtration module are connected to described respiration information and divide
Between analysis module and described respiratory frequency computing module.
7. the monitoring method of a wearable Respiratory Care system, it is characterised in that include following step
Rapid:
S01: wearable device is attached at the chest locations of human body；
S02: utilize wearable device collection and the characterization information of transmission human body and ambient condition information；
S03: utilize data analysis system the to analyze characterization information of human body that described wearable device gathered with
And ambient condition information；
S04: contrast characterization information and the ambient condition information judging that data analysis system is analyzed；When
There is abnormal or described wearable device and described data analysis system generation disconnection shape in the characterization information of human body
State, described alarm equipment alarm；
S05: the characterization information of the human body after data analysis system analysis is stored to high in the clouds platform；
S06, utilizes client to check and downloads the data message in the platform of high in the clouds.
The monitoring method of wearable Respiratory Care system the most according to claim 7, its feature
Being, described step S02 is further comprising the steps of:
S021: utilize sensor unit to obtain the characterization information of human body and ambient condition information, wherein,
Utilize 3-axis acceleration sensor to gather the respiration information of human body, utilize sound transducer for gathering wearing
Person and the acoustic information of surrounding；
S022: utilize micro-control unit to obtain and transmit the characterization information of the human body that sensor unit obtains
And ambient condition information.
The monitoring method of wearable Respiratory Care system the most according to claim 8, its feature
Being, described step S03 is further comprising the steps of:
S031: utilize the respiration information that data calibration module axle each to 3-axis acceleration sensor is gathered
Carry out data calibration；
S032: the noise data after utilizing filtration module to filter data calibration；
S033: utilize respiratory frequency computing module to process after described data calibration modular calibration or filtering
Respiration information after modular filtration；And acquisition respiratory frequency；
S034: utilize threshold values contrast module to preset the threshold values of respiratory frequency；And the breathing frequency that contrast obtains
Whether rate is beyond default threshold values；When respiratory frequency is beyond default threshold values, data analysis system
Send alarm command to alarm；When respiratory frequency is beyond default threshold values, then return step S02.
The monitoring method of wearable Respiratory Care system the most according to claim 9, its feature
It is, when described step S034 utilizes the threshold values of described threshold values contrast module contrast respiratory frequency, root
Other people body characterization information and the ambient condition information in addition to respiration information gathered according to wearable device,
Comparing, other described human body characterization information includes the body temperature letter of the acoustic information of wearer, human body
Breath, movable information；Ambient condition information includes air themperature information, humidity information, acoustic information.
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| CN106504773A (en) * | 2016-11-08 | 2017-03-15 | 上海贝生医疗设备有限公司 | A kind of wearable device and voice and activities monitoring system |
| CN106934249A (en) * | 2017-04-11 | 2017-07-07 | 上海贝生医疗设备有限公司 | A kind of medical monitoring and interactive system |
| CN106963350A (en) * | 2017-03-22 | 2017-07-21 | 深圳大学 | It is a kind of at the same monitor breathing and body temperature method and system |
| CN108175420A (en) * | 2018-01-02 | 2018-06-19 | 深圳市双平泰医疗科技有限公司 | Blood glucose meter |
| CN108261188A (en) * | 2016-12-30 | 2018-07-10 | 深圳光启合众科技有限公司 | The control method of life detection equipment, device and system |
| CN109171655A (en) * | 2018-09-19 | 2019-01-11 | 北京工业大学 | A kind of detection method of sleep-respiratory and sleeping position based on acceleration of gravity |
| CN109757923A (en) * | 2018-12-25 | 2019-05-17 | 广东三水合肥工业大学研究院 | A kind of mattress with infantile state monitoring system |
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| CN106361341A (en) * | 2016-09-29 | 2017-02-01 | 爱子科技（北京）有限公司 | Respiration detection method and system |
| CN106504773A (en) * | 2016-11-08 | 2017-03-15 | 上海贝生医疗设备有限公司 | A kind of wearable device and voice and activities monitoring system |
| CN108261188A (en) * | 2016-12-30 | 2018-07-10 | 深圳光启合众科技有限公司 | The control method of life detection equipment, device and system |
| CN106963350A (en) * | 2017-03-22 | 2017-07-21 | 深圳大学 | It is a kind of at the same monitor breathing and body temperature method and system |
| CN106934249A (en) * | 2017-04-11 | 2017-07-07 | 上海贝生医疗设备有限公司 | A kind of medical monitoring and interactive system |
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| CN109757923A (en) * | 2018-12-25 | 2019-05-17 | 广东三水合肥工业大学研究院 | A kind of mattress with infantile state monitoring system |
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| CN110688015A (en) * | 2019-10-14 | 2020-01-14 | 上海幂方电子科技有限公司 | Man-machine interaction system |
| CN110688015B (en) * | 2019-10-14 | 2022-08-05 | 深圳市外脑科技有限公司 | Man-machine interaction system |
| CN111493873A (en) * | 2020-04-27 | 2020-08-07 | 德阳市人民医院 | Device and method for monitoring respiratory frequency, body temperature and humidity in real time |
| WO2022042167A1 (en) * | 2020-08-28 | 2022-03-03 | 华为技术有限公司 | Method and apparatus for testing human health condition |
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