CN208970186U - Health detecting system for wearable device - Google Patents
Health detecting system for wearable device Download PDFInfo
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- CN208970186U CN208970186U CN201821942158.0U CN201821942158U CN208970186U CN 208970186 U CN208970186 U CN 208970186U CN 201821942158 U CN201821942158 U CN 201821942158U CN 208970186 U CN208970186 U CN 208970186U
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Abstract
The utility model relates to detection technique more particularly to a kind of health detecting systems for wearable device.It can acquire electrocardio and action message whenever and wherever possible, and complicated obscure signal is translated into the physical signs that everybody can understand.Including EGC sensor, accelerometer, filter and amplification module, microcontroller, communication module and the power module being set on wearable device；Power module is used for as EGC sensor, accelerometer, filter and amplification module, difference block, microcontroller and communication module power supply；The input of filter and amplification module is connected with EGC sensor, and the output of the filter and amplification module is connected with the input of difference block, and the output of the difference block is connected with microcontroller, which is connected with communication module；The microcontroller is also connected with accelerometer and communication module respectively, is connected by communication module with mobile terminal, and the mobile terminal and server are wirelessly connected.
Description
Technical field
The utility model relates to detection technique more particularly to a kind of health detecting systems for wearable device.
Background technique
In the framework of wearable computing, computing system is worn as glasses, wrist-watch or clothes, and can base
Variation and user interaction in scene.It passes through display, the easy-to-use input equipment, a large amount of environment sensings to come in every shape
Component and WLAN play the effect of user intelligence assistant.
Since 21 century, wearable technology achieves marked improvement, and initially enters the visual field and the life of ordinary people.One side
Face, mobile Internet is fast-developing, either the property of the bearing capacity and popularity or intelligent movable equipment of wireless network
Significant progress can be all achieved, this provides good technical foundation for the exploitation of wearable device.On the other hand, people couple
The application market of wearable device is opened in the demand of freer, convenient and personalized information processing.In this context,
Each IT enterprises set foot in the research and development of wearable device one after another.Sony, three magnitude large size consumer electronics companies and Google, apple
Equal internets giant is proposed the wearable product to come in every shape successively, is newly laid out to open up mobile Internet.Current face
The wearable device of generation can be divided into four classes: body-building class, healthy class, information class, body-sensing class by major function.Wherein, body-building is strong
The shipment amount of health class product holds a safe lead the product with other classifications, is expected to become the application side for the sexual development that makes a breakthrough earliest
To.
Summary of the invention
The utility model provides a kind of health detection for wearable device aiming at defect of the existing technology
System, provides Real-time Feedback relevant to personal long-term health situation, and user only needs to dress healthy chest strap, and and mobile terminal
It is connected, electrocardio and action message can be acquired whenever and wherever possible, complicated obscure signal is translated into the physical signs that everybody can understand,
User is allowed more easily control to understand itself health and moving situation.
To achieve the above object, the utility model adopts the following technical solution, including the heart being set on wearable device
Electric transducer, accelerometer, filter and amplification module, difference block, microcontroller, communication module and power module；
Power module is used for as EGC sensor, accelerometer, filter and amplification module, difference block, microcontroller and leads to
Believe module for power supply；
The input of filter and amplification module is connected with EGC sensor, filtering, amplification for signal；The filter and amplification module
Output be connected with the input of difference block, the difference block be used for two-way EGC sensor signal make difference with obtain electrocardio letter
Number, output is connected with microcontroller, which is connected with communication module；
The microcontroller is also connected with accelerometer and communication module respectively, passes through communication module and mobile terminal phase
Even, the mobile terminal and server are wirelessly connected.
As a kind of preferred embodiment of the utility model, there are two the EGC sensors, is all made of model PS25255
EPIC sensor；Accelerometer uses the three axis accelerometer of model ADXL345.
As another preferred embodiment of the utility model, wearable device is using wearable healthy chest strap.
As another preferred embodiment of the utility model, the microcontroller uses STM32 single-chip microcontroller；Communication module is adopted
Use bluetooth module.
As another preferred embodiment of the utility model, the bluetooth module model HY254124V8.
As another preferred embodiment of the utility model, the mobile terminal is smart phone or tablet computer.
As another preferred embodiment of the utility model, the filter and amplification module includes that two circuit structures are identical
Circuit unit, two circuit units respectively connect an EGC sensor；The circuit unit includes operational amplifier AD820；AD820
Negative input end be grounded by resistance R1, the positive input terminal of AD820 is connected by resistance R2 with EGC sensor；And AD820
Negative input end is connected by resistance R3 with the output of AD820, and the positive input terminal of AD820 also passes through capacitor C1 and is grounded, and AD820's is defeated
Outlet is grounded by capacitor C2.
As another preferred embodiment of the utility model, resistance R1, R2 resistance value is 1k Ω, and R3 resistance value is 5k Ω；Electricity
Holding C1 selects 1nf, capacitor C2 to select 0.1nf.
As another preferred embodiment of the utility model, the difference block includes instrument amplifier AD8221,
The positive input terminal of AD8221 is connected by resistance R11 with the output of a circuit unit, and the negative input end of amplifier AD8221 passes through
Resistance R12 is connected with the output of another circuit unit；The positive input terminal of AD8221 also passes through resistance R13 and is grounded, and AD8221's is negative
Input terminal also passes through resistance R14 and is connected with the output end of AD8221, the output end of AD8221 pass through the resistance R15 being serially connected,
Capacitor C11 ground connection.
As another preferred embodiment of the utility model, the accelerometer uses ADXL345 chip, chip
13 feet, 14 feet and 8 feet of ADXL345 are connected with PB11, PB10, PF11 foot of microcontroller STM32 respectively.
Data analysing method based on health detecting system, including heart rate detection and paces detection.
As another preferred embodiment of the utility model, the heart rate detection the following steps are included:
Step 1, the ECG signal for accumulating regular length；
Step 2 is filtered ECG signal using mean filter and bandpass filter；
Step 3, the signal of step 2 is carried out differential, square and integral calculation；
The peak value of step 4, integration data based on step 3 exports threshold value；
Step 5, according to threshold value, detect the R wave of QRS complex；
Location interval between step 6, the current R wave of calculating and previous R wave, the i.e. interval RR；
Step 7, according to the interval history RR and R crest value, judge the legitimacy of current R wave；
If step 8, current R wave are legal, in conjunction with sample rate, calculate Current heart rate (beat/min).
As another preferred embodiment of the utility model, the input data of the paces detection is acceleration signal, uses
Family gender and height, output data are real-time step number and real-time travel distance；
Itself the following steps are included:
Step 1, the acceleration signal for accumulating regular length；
Step 2, peak computational threshold value of being contacted to earth based on history, initial value 0；
Step 3 is filtered using Savitzky-Golay filter；
Step 4, according to zero crossing, detection is contacted to earth position；
Step 5, according to threshold value, judgement is currently contacted to earth the legitimacy of position；
If step 6, position of currently contacting to earth are legal, accumulation step number adds 1；
Step 7, according to peak value and valley, calculate very poor；
Step 8, according to very poor, user's gender and height, calculate current step-length.Step size computation formula is shown in formula (1)-
(3)；
K=0.45 (L/1000)+0.057 (2)
Wherein, SL represents step-length valuation, unit: rice, rmaxAnd rminRespectively peak value and valley, L are the long valuations of leg, single
Position: millimeter, H are height, unit: millimeter；
Current step is added with history travel distance, obtains current travel distance.
The utility model beneficial effect compared with prior art.
The utility model utilizes EGC sensor and accelerometer, is acquired caused by human ecg signal and activity respectively
Acceleration signal.By wireless transmission, the mobile terminals such as smart phone are sent to, and carry out signal analysis, Real-time Feedback user
Heart rate, step number and travel distance.The shortcomings that not only compensating for lengthy and tedious traditional monitoring device and constraint, but it is current that people are utilized
The strength stickiness generated with mobile phone, allows user more easily to intuitively understand itself health and moving situation, and it is raw to facilitate dynamic
The encouragement and maintenance of mode living.
Detailed description of the invention
The utility model is described further with reference to the accompanying drawings and detailed description.Scope of protection of the utility model
It is not only limited to the statement of the following contents.
Fig. 1 is Tthe utility model system overall structure figure.
Fig. 2 is the utility model filter and amplification module circuit diagram.
Fig. 3 is the utility model difference block circuit diagram.
Fig. 4 is the utility model accelerometer circuit diagram.
Fig. 5 is the utility model heart rate detection result figure.
Fig. 6 is the utility model paces testing result figure.
Fig. 7 is Tthe utility model system structural block diagram.
Specific embodiment
Such as Fig. 1-7, the utility model includes the EGC sensor being set on wearable healthy chest strap, accelerometer, filter
Wave amplification module, difference block, microcontroller, communication module and power module.
Power module is used for as EGC sensor, accelerometer, filter and amplification module, difference block, microcontroller and leads to
Believe module for power supply.
The input of filter and amplification module is connected with EGC sensor, filtering, amplification for signal；The filter and amplification module
Output be connected with the input of difference block, the difference block for two-way EGC sensor signal is made the difference with obtain electrocardio letter
Number, output is connected with microcontroller, which is connected with communication module.
The microcontroller is also connected with accelerometer and communication module respectively, passes through communication module and mobile terminal phase
Even, the mobile terminal and server are wirelessly connected.
Specifically, the electrocardio and acceleration signal of sensor output are obtained, and is responsible for the filtering and amplification of original signal.It is defeated
Out after signal, after analog-to-digital conversion, it is transmitted to mobile terminal by wireless communication.Power module is responsible for the confession of each module of system
Electricity.Mobile terminal receives the digital signal that health care belt is sent, and using algorithm analysis data and extracts physical signs, and displaying point
Analyse result.Also by received sensing data, by wireless communication, it is forwarded to remote server.Server receives mobile terminal
The data of transmission realize the long-term storage of data.
Preferably, there are two the EGC sensors, it is all made of the EPIC sensor of model PS25255；(electrode not with
Skin contact is attached in health care belt, for acquiring electrocardiosignal.) accelerometer using model ADXL345 three axis accelerate
Degree meter；The acceleration signal generated for collection activity.
Preferably, wearable device is using wearable healthy chest strap.
Specifically, healthy chest strap is a small vest shape structure, and after wearing is good, two EGC sensors thereon are respectively placed in
Upper right (RA, the first intercostal of right border of sternum linea medioclavicularis) and upper left (LA, the first intercostal of left border of sternum linea medioclavicularis)；Accelerometer
It is placed in anterior median line and puts down the first intercostal.
Preferably, the microcontroller uses STM32 single-chip microcontroller；Communication module uses bluetooth module.
Preferably, the bluetooth module model HY254124V8.
Preferably, the mobile terminal is smart phone or tablet computer.
Preferably, the filter and amplification module includes the identical circuit unit of two circuit structures, and two circuit units respectively connect
Connect an EGC sensor；The circuit unit includes operational amplifier AD820；The negative input end of AD820 is connect by resistance R1
The positive input terminal on ground, AD820 is connected by resistance R2 with EGC sensor；And the negative input end of AD820 by resistance R3 with
The output of AD820 is connected, and the positive input terminal of AD820 also passes through capacitor C1 and is grounded, and the output end of AD820 is grounded by capacitor C2.
Preferably, resistance R1, R2 resistance value is 1k Ω, and R3 resistance value is 5k Ω；Capacitor C1 selects 1nf, capacitor C2 selection
0.1nf。
Preferably, the difference block includes instrument amplifier AD8221, the positive input terminal of AD8221 by resistance R11 with
The output of one circuit unit is connected, and the negative input end of amplifier AD8221 passes through the output phase of resistance R12 and another circuit unit
Even；The positive input terminal of AD8221 also passes through resistance R13 and is grounded, and the negative input end of AD8221 also passes through resistance R14 and AD8221
Output end is connected, and the output end of AD8221 passes through resistance R15, capacitor the C11 ground connection being serially connected.
Preferably, the accelerometer use ADXL345 chip, 13 feet, 14 feet and 8 feet of chip ADXL345 respectively with
PB11, PB10, PF11 foot of microcontroller STM32 is connected.
Data analysing method based on health detecting system, including heart rate detection and paces detection.
Preferably, the heart rate detection includes the following steps.
Step 1, the ECG signal for accumulating regular length.
Step 2 is filtered ECG signal using mean filter and bandpass filter.
Step 3, the signal of step 2 is carried out differential, square and integral calculation.
The peak value of step 4, integration data based on step 3 exports threshold value.
Step 5, according to threshold value, detect the R wave of QRS complex.
Location interval between step 6, the current R wave of calculating and previous R wave, the i.e. interval RR.
Step 7, according to the interval history RR and R crest value, judge the legitimacy of current R wave.
If step 8, current R wave are legal, in conjunction with sample rate, calculate Current heart rate (beat/min).
Preferably, the input data of the paces detection is acceleration signal, user's gender and height, and output data is real
When step number and real-time travel distance.
It includes the following steps.
Step 1, the acceleration signal for accumulating regular length.
Step 2, peak computational threshold value of being contacted to earth based on history, initial value 0.
Step 3 is filtered using Savitzky-Golay filter.
Step 4, according to zero crossing, detection is contacted to earth position.
Step 5, according to threshold value, judgement is currently contacted to earth the legitimacy of position.
If step 6, position of currently contacting to earth are legal, accumulation step number adds 1.
Step 7, according to peak value and valley, calculate very poor.
Step 8, according to very poor, user's gender and height, calculate current step-length.Step size computation formula is shown in formula (1)-
(3)。
K=0.45. (L/1000)+0.057 (2)
Wherein, SL represents step-length valuation, unit: rice, rmaxAnd rminRespectively peak value and valley, L are the long valuations of leg, single
Position: millimeter, H are height, unit: millimeter.
Current step is added with history travel distance, obtains current travel distance.
The utility model patent, in conjunction with filter and amplification module and difference block, passes through tool on the basis of existing sensor
The EGC sensor of standby human body electrocardio sensing technology acquires electrocardiosignal, by having the accelerometer of acceleration analysis technology
To acquire acceleration signal caused by physical activity.The wireless transmission of physiological signal is realized by communication module, is sent in real time
To mobile terminals such as smart phones, and signal analysis is carried out, calculate the real-time physiological index of user, in showing the heart on mobile terminal
Rate, step number and travel distance allow user more easily to intuitively understand itself health and moving situation.
It is understood that being merely to illustrate the utility model above with respect to the specific descriptions of the utility model and not being
It is limited to technical solution described in the utility model embodiment, those skilled in the art should understand that, it still can be with
It modifies to the utility model or equivalent replacement, to reach identical technical effect；Needs are used as long as meeting, all in this reality
Within novel protection scope.
Claims (7)
1. being used for the health detecting system of wearable device, which is characterized in that the electrocardio including being set on wearable device passes
Sensor, accelerometer, filter and amplification module, microcontroller, communication module and power module；
Power module is used for as EGC sensor, accelerometer, filter and amplification module, difference block, microcontroller and communication mould
Block power supply；
The input of filter and amplification module is connected with EGC sensor, filtering, amplification for signal；The filter and amplification module it is defeated
It is connected out with the input of difference block, the output of the difference block is connected with microcontroller, the microcontroller and communication module phase
Even；
The microcontroller is also connected with accelerometer and communication module respectively, is connected by communication module with mobile terminal, should
Mobile terminal and server are wirelessly connected.
2. the health detecting system according to claim 1 for wearable device, it is characterised in that: the electrocardio sensing
There are two devices, is all made of the EPIC sensor of model PS25255；Accelerometer is accelerated using three axis of model ADXL345
Degree meter.
3. the health detecting system according to claim 1 for wearable device, it is characterised in that: wearable device is adopted
With wearable healthy chest strap.
4. the health detecting system according to claim 1 for wearable device, it is characterised in that: the microcontroller
Using STM32 single-chip microcontroller；Communication module uses bluetooth module；The bluetooth module model HY254124V8；It is described mobile whole
End is smart phone or tablet computer.
5. the health detecting system according to claim 1 for wearable device, it is characterised in that: the filter and amplification
Module includes the identical circuit unit of two circuit structures, and two circuit units respectively connect an EGC sensor；The circuit list
Member includes operational amplifier AD820；The negative input end of AD820 is grounded by resistance R1, and the positive input terminal of AD820 passes through resistance R2
It is connected with EGC sensor；And the negative input end of AD820 is connected by resistance R3 with the output of AD820, the positive input terminal of AD820
It is also grounded by capacitor C1, the output end of AD820 is grounded by capacitor C2；Resistance R1, R2 resistance value is 1k Ω, and R3 resistance value is 5k
Ω；Capacitor C1 selects 1nf, capacitor C2 to select 0.1nf.
6. the health detecting system according to claim 1 for wearable device, it is characterised in that: the difference block
Including instrument amplifier AD8221, the positive input terminal of AD8221 is connected by resistance R11 with the output of a circuit unit, amplifier
The negative input end of AD8221 is connected by resistance R12 with the output of another circuit unit；The positive input terminal of AD8221 also passes through electricity
R13 ground connection is hindered, the negative input end of AD8221 also passes through resistance R14 and is connected with the output end of AD8221, and the output end of AD8221 is logical
Cross the resistance R15 being serially connected, capacitor C11 ground connection.
7. the health detecting system according to claim 4 for wearable device, it is characterised in that: the accelerometer
Using ADXL345 chip, 13 feet, 14 feet and 8 feet of chip ADXL345 respectively with PB11, PB10 of microcontroller STM32,
PF11 foot is connected.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109308947A (en) * | 2018-11-23 | 2019-02-05 | 辽东学院 | Health detecting system and data analysing method for wearable device |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109308947A (en) * | 2018-11-23 | 2019-02-05 | 辽东学院 | Health detecting system and data analysing method for wearable device |
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