CN208511016U - A kind of vital sign comprehensive detection analysis system - Google Patents

Abstract

The utility model discloses a kind of vital sign comprehensive detection analysis system, including sensor group, power module, wireless transport module, main control module, front end analogue module, processor and display, sensor group is connected with front end analogue module, front end analogue module is connected with main control module, and main control module is respectively connected with wireless transport module, power module；Sensor group includes EGC sensor, heart rate sensor, blood oxygen concentration sensor, position detection module, respiratory movement waveform detection module, electroencephalogram detection module, the data of sensor group acquisition are by front end analogue module transfer to main control module, main control module is transmitted to processor by wireless transport module, is shown after processor processing by display.The utility model is all effective for detecting a variety of diseases or health status, greatly improves the precision of prediction for physical condition, detection.

Description

A kind of vital sign comprehensive detection analysis system

Technical field

The utility model relates to a kind of vital sign comprehensive detection analysis systems, belong to human body vital sign detection field.

Background technique

In human body vital sign detection field, simply located after mostly acquiring signal using the higher sensor of precision It is fed directly to respective handling unit after reason and carries out data analysis, display.Wherein problem mainly has the following: signal processing unit Precision is not high；It is weaker to the Signal Pretreatment ability of sensor acquisition, parameter basis can not be provided for the demand of higher precision；Letter Number transmission channel number and signal transmission quality be not high, and it is logical to be generally unable to reach 3 than more serious for the signal deletion phenomenon by transmission Transmission more than road；Signal display format is single, can only be shown under normal conditions by graphic interfaces such as Qt, applied field Scape is restricted；Measure type it is relatively simple, can not many kinds of parameters measure simultaneously；Application scenarios are relatively simple, by place limited because Element is higher.

Summary of the invention

Goal of the invention: the utility model aim is in view of the deficiencies of the prior art, to provide a kind of comprehensive inspection of vital sign Analysis system is surveyed, the precision of prediction for physical condition, detection is greatly improved.

Technical solution: vital sign comprehensive detection analysis system described in the utility model, including signal acquisition transmission module With data processing display module；The signal acquisition transmission module includes sensor group, power module, wireless transport module, master Module, front end analogue module are controlled, sensor group is connected with front end analogue module, and front end analogue module is connected with main control module, main Control module is respectively connected with wireless transport module, power module；The data processing display module includes processor and display； The sensor group includes EGC sensor, heart rate sensor, blood oxygen concentration sensor, position detection module, respiratory movement wave Shape detection module, electroencephalogram detection module, the data of sensor group acquisition are main by front end analogue module transfer to main control module Control module is transmitted to processor by wireless transport module, is shown after processor processing by display.

Above-mentioned technical proposal is further improved, the front end analogue module is 8 channel AD signal pickers, wherein 6 tunnels are logical Road and sensor group correspond, and 2 paths are reserved sensing equipment interface.AD conversion module is the core mould of signal picker Block is mainly used to convert digital signal for each collected analog signal of human body vital sign parameter signals sensor, facilitates master control Resume module simultaneously sends collected signal, and the collector in 8 channels is mainly based upon precision consideration, because with the raising of port number The quality of signal acquisition decreases, and in order to obtain high-precision human body vital sign signal, compromise considers, therefore this is studied 8 channel collectors are designed, 6 paths have been used, reserve the addition that two-way interface is used for other sensing equipments of later period.

Further, the wireless transport module is USR-C322 wireless transport module.USR-C322 is a kind of embedded The wireless WIFI high-performance module of system type, it there is communication to stablize, super low-power consumption 802.11b/g/n, under normal circumstances can be with Meet the application requirement of the overwhelming majority.In addition to this, it possesses a complete and WIFI solution for architectonical and supports WIFI agreement and ICP/IP protocol, can not only be by another processor come using all WIFI network functions, and can take Software application is carried to realize the management control of Internet of Things.The module size is smaller, saves space and is advantageously integrated in signal acquisition Above plate, it is only necessary to which simple configuration can realize the communication of module Yu the end PC computer.

Further, the processor includes electrocardio filter, FFT spectrum analysis module, wavelet analysis module；Electrocardio filter Wave device include for removing the low cylinder filter of the Butterworth of myoelectricity interference, for remove Hz noise band resistance-trap filter and For correcting the zero-phase shift filter of baseline drift, FFT spectrum analysis module is for extracting pulse wave characteristic, obtaining pulse wave letter Number, the wavelet analysis module is used to carry out denoising to EEG signals.

Further, the power module includes external cell power supply and USB Power supply.Detection device is mostly 220V electricity Source power supply, from application above limit the width and range of application, two kinds of power supply modes of the utility model: external cell power supply and USB Power supply, while power protecting circuit being provided, in the case where application extremely can quick power down, protection equipment and answer The safety problem of user.Electric quantity detection function is provided in battery power supply.

Further, the position detection module is TW-3 type switching regulator position detection sensor.

The utility model has the advantages that the utility model is all effective for detecting a variety of diseases or health status, under detection project includes The project (brain electricity, electrocardio, heart rate, blood oxygen concentration, breathing, position) that column are 6, is that physiology technology has very much with electronic information field The innovative technology of development prospect, effective confirmation through studying, this research project can be greatly improved for health shape The precision of prediction, the detection of condition, at the same it is also helpful to the analysis and research of the organic whole of human body comprehensive feature, convenient for grinding Study carefully connecting each other, mutually restricting, influencing each other between multiple physical body parameter.

Vital sign detects the superiority of the reception circuit of signal, is amplified by the processing to signal, keeps signal more stable, It is truer；The range and portability of the portability increase signal application of wireless transport module are the processing in signal later period and are divided Analysis provides a good basis；The filter design of each filter is provided, to each vital sign parameter signals using adaptable letter Number processing mode, and gui interface is used, so that the design and operation interface is easily facilitated operation

A variety of vital signs are detected into integration, reduce testing cost；The design for operating portability makes some pairs of modern times electric Sub- product using the elderly for having obstacle can independent operation, increase can towards audient crowd, system optimization algorithm It improves, for further development provides convenience in the future.Messaging software.

Detailed description of the invention

Fig. 1 is the circuit block diagram of the utility model；

Fig. 2 is the flow chart of the utility model；

Fig. 3 is display device structure block diagram；

Fig. 4 is that electromyography signal filters front and back electro-cardiologic signal waveforms；

Fig. 5 is that electromyography signal filters front and back electrocardiosignal frequency spectrum；

Fig. 6 is that power frequency component filters front and back electro-cardiologic signal waveforms；

Fig. 7 is that power frequency component filters front and back electrocardiosignal frequency spectrum；

Fig. 8 is that phase offset corrects front and back electro-cardiologic signal waveforms；

Fig. 9 is that phase offset corrects front and back electrocardiosignal frequency spectrum；

Figure 10 is that the peak pulse wave R extracts flow chart；

Figure 11 is pulse wave signal waveform and heart rate before and after signal processing；

Figure 12 is eeg signal waveform before and after default threshold denoising；

Figure 13 is filtering front and back EEG signals frequency spectrum

Figure 14 is breath signal waveform；

Figure 15 is body position signal waveform；

Figure 16 is synthesis display interface.

Specific embodiment

Technical solutions of the utility model are described in detail below by attached drawing, but the protection scope of the utility model It is not limited to the embodiment.

Embodiment 1: the utility model is mainly around electrocardio, heart rate, brain electricity, six kinds of breathing, position and blood oxygen concentration life Sign carries out acquisition, processing and the display of signal, these vital sign parameter signals can preferably reflect that human body is worked as by various aspects Preceding state, and occupy an leading position in vital sign parameter signals research process.The utility model mainly includes that signal acquisition passes Defeated module and data processing display module；Signal acquisition transmission module include sensor group, power module, wireless transport module, Main control module, front end analogue module, sensor group are connected with front end analogue module, and front end analogue module is connected with main control module, Main control module is respectively connected with wireless transport module, power module；Data processing display module includes processor and display；It passes Sensor group includes EGC sensor, heart rate sensor, blood oxygen concentration sensor, position detection module, respiratory movement waveforms detection Module, electroencephalogram detection module, the data of sensor group acquisition are by front end analogue module transfer to main control module, main control module It is transmitted to processor by wireless transport module, is shown after processor processing by display.

EGC sensor is mainly used for the heart rate of tester, by simply connecting using ecg signal acquiring module is singly led Single-chip microcontroller, executing corresponding program can be realized the function.Heart rate sensor module acquisition human ecg signal is handled, is led to It crosses single-chip microcontroller and calculates the real-time heart rate data of output.

Studies have shown that different wave length incident light has different absorptions in oxyhemoglobin and non-oxyhemoglobin Rate.When monochromatic light vertical irradiation human body, arterial blood absorbing amount is beaten with transmission region arteries and is changed, and skin, Its hetero-organization such as muscle, bone and venous blood is invariable to the absorption of light.By using the constant of two kinds of specific wavelengths Light λ 1, λ 2 irradiate finger, if suitably (Hb02, Hb such as have at the absorption characteristics to selection lambda1-wavelength λ 1 here, i.e., about 805nm), the approximation public affairs of arterial oxygen saturation can be released with Lambert-Bear law and according to the definition of oxygen saturation Formula；Focus on to biological tissue be an anisotropy, strong scattering, weak absorbing complicated optical medium, therefore in actual measurement Can not be described with a stringent formula, so generally by measurement the ratio between dual-beam absorbance change, then pass through through It tests calibration curve and finally obtains oxygen saturation.And when selecting dual-beam wavelength, be typically chosen a length of 660nm of incident light wave and 940nm。

Human body position is detected, if using acceleration transducer, it is necessary first to establish natural system of coordinates.It takes The front of people's normal stand be Z axis positive direction, be to the left Y-axis positive direction, upwards be X positive direction, at this time X-axis negative direction with again The direction of power acceleration g is identical.When user's position changes, the reference axis of acceleration transducer will deviate original Natural system of coordinates, while the acceleration of X, Y and Z axis will also generate corresponding variation therewith].In general, in order to make to detect It is more accurate and reliable, it needs for sensor to be worn over the position among the abdomen or chest of human body.3 type of TW-that the present invention uses In (switching regulator) sensor, human body current potential output 1V in the state of facing upward, current potential exports 2V in the state of bowing, and is in body In the state that body is to the right current potential output 3V be in body it is to the left in the state of current potential export 0V.

Processor handles vital sign parameter signals

(1) electrocardio filter designs

1.1 removal myoelectricity interferences, using low-pass filter

Usually, the frequency of electromyography signal is 20~5000HZ, and different muscle types can generate different myoelectricity letters Number frequency, but it is general all in 30~300HZ, and in comparison the frequency of electrocardiosignal is concentrated mainly on 5~20HZ.

Butterworth filter possesses the frequency response curve in passband the most flat, fluctuating very little, for resistance frequency It is very fast that band falls to zero.Under normal circumstances, the order of filter determines suppressed frequency band amplitude fading speed, and order is higher, and decaying is got over Fastly.Therefore use Butterworth LPF.

1.2 removal Hz noises, using band resistance-trap filter

The reason of Hz noise is generally 50Hz, occurs is caused by supply network itself, due to ecg signal acquiring Supply network is all inevitably contacted with processing stage, so this is also the main interference source of electrocardiosignal.50Hz is fallen into The design of wave device, common method such as Wavelet Transform, adaptive-filtering etc. are more demanding for filter parameter operation, not Consider.

FIR filter is used in the design, FIR filter can achieve the effect of linear phase, and the distortion factor is small, favorably In preferably processing ecg wave form.

There are window function metht, Frequency Sampling Method using the method for MATLAB design FIR filter and waits the best approximatioss of ripples Deng, wherein window function metht design it is the most convenient, the design use window function metht.The design uses Kaiser window, it is close to most Optimize the window function of window construction, it can adjust the indices of filter according to different parameters, therefore use Kaiser window Function carries out design of the 50Hz with resistance-trap filter.

1.3 correction baseline drifts, using zero-phase shift filter

General signal can generate phase offset after wave filter, and zero-phase shift filter refers to the letter by the filter Number sequence phase is constant.It is real due to that can not know the phase spectrum of all signals at the very start however for causal system Existing zero phase-shift substantially can not.Specifically, zero-phase shift filter has not only used the information of current demand signal point, also to the signal The signal of point front and back is all read, i.e., the purpose that phase does not deviate is realized using " later signal ".

For MATLAB filter function library, filtfilt function is provided, signal can be made to reach the mesh of zero phase-shift 's.The problem of passing through high-pass IIR filter simultaneously, baseline drift can be corrected.

(2) heart rate signal

2.1 pulse wave feature extractions

In the design, the acquisition of heart rate signal uses pulse wave sensor.Pulse wave is close with electrocardio wave, and phase can be used Same signal processing mode, the difference is that pulse wave signal needs to carry out feature extraction.

For heart rate signal, suitably acquisition time is extended, feature extraction is carried out to pulse wave signal, is i.e. the extraction heart R wave in electric signal calculates R wave number, obtains the number of R wave in one minute by conversion, pulse wave signal can be obtained, this It is the key that analysis heart rate, for time-domain signal, what is mainly extracted is exactly the peak value of pulse wave signal, there is the peak of accurate extraction Value, so that it may lay the foundation to analysis hrv parameter.Pulse wave height is as shown in Figure 11-Figure 5.

Peak value based on the available signal of method that threshold value is chosen.After the collected pulse wave signal of preliminary analysis institute, It is found that while that pulse wave crest value is not quite similar, but its variation range is limited, and fluctuation range is at 0.3 times of maximum waveform height Within.At wave crest point, that is, each pulse wave cycle waveform maximum value, this maximum value should be greater than all the points in neighborhood.

(3) EEG signals

EEG signals (EEG) have the characteristics that it is non-stationary, so being highly prone to the interference of various noises, especially power frequency Interference.So having to carry out necessary signal processing before analyzing EEG signals.

For the design, using Wavelet decomposing and recomposing signal.Analyze each frequency range small echo signal.Again based on MATLAB's Ddencmp () and wdencmp () function carry out denoising to EEG signals.

3.1 wavelet decomposition signal reconstructions

Compared with Fourier transformation, what wavelet transformation was focused on is localization analysis, is gradually refined to the same signal Multi-resolution decomposition is finally reached high frequency treatment time subdivision, and frequency is segmented at low frequency, can adapt to wanting for time frequency signal analysis automatically It asks.

3.2 wavelet transformation default threshold denoisings

MATLAB provides wavelet transformation noise processed function ddencmp () and wdencmp ().

Wherein, the small echo or wavelet packet de-noise or the threshold value Choice of data compression of signal X are automatically generated.Input parameter X input signal；The purpose for inputting parameter IN1 designated treatment is de-noising or compression, IN1=den (for signal noise silencing), IN1= Cmp (for signal compression)；Input the mode of parameter IN2 designated treatment, selectable value: IN2=wv (uses wavelet decomposition), IN2= Wp (uses WAVELET PACKET DECOMPOSITION；).

Output parameter THR is the threshold value of function selection, and SORH is that function selects threshold value usage mode.Output parameter KEEPAPP has decided on whether that pairing approximation component carries out threshold process.It is chosen as 0 or 1.

(4) breath signal

The acquisition of the design breath signal uses strain gauge transducer, since breathing bring thorax abdomen motion itself just has There is periodicity, and piezoelectric transducer can sense this breath signal, acquire the signal on this basis.It will be collected Data are shown.

(5) body position signal

It is TW-3 type (switching regulator) position detection sensor, the sensor for the body position signal sensor that the design uses With high sensitivity, response is fast and without having the advantages of electrical contact with human body.The sensor faces upward human body, bows and to from left to right It is indicated respectively with different level signals.

It for acceleration transducer, is fastened in the natural coordinates of foundation, is just before arranged to Z axis positive direction for what people stood, With the variation that user savours, acceleration transducer reference axis will be deviated, and XYZ axle acceleration has corresponding change.

For the sensor, it will face upward, bow respectively, left and right four states are indicated with different amplitudes.The design adopts prime The signal collected is shown, and makes corresponding annotation.Wherein one 0.6V of state, faces upward state；Two 3V of state, for shape to the right State, three 1.5V of state are state of bowing, four 0V of state, for state to the left.Fluctuation between state conversion is demonstrated by the mistake of position conversion Journey.

(6) blood oxygen concentration signal

The design uses MAX30100 blood oxygen heart rate sensor.The principle for measuring not damaged blood oxygen saturation is based on artery The uptake of middle light can change with blood flow pulse and be changed, and oxyhemoglobin and non-oxyhemoglobin are to different waves Long incident light has different absorptivities.The sensor module is that the characteristic is utilized to use the light of two kinds of different wave lengths by arterial blood It manages and the invariable vein blood vessel of absorbance value, bone, skin is separated, acquire blood oxygen concentration eventually by formula.

The blood oxygen concentration value that the design returns to sensor module is in integrated life sign interface display.

As described above, although the utility model has been indicated and described referring to specific preferred embodiment, it must not It is construed to the limitation to the utility model itself.In the spirit and scope for not departing from the utility model that appended claims define Under the premise of, it can various changes can be made in the form and details to it.

Claims (6)

1. a kind of vital sign comprehensive detection analysis system, it is characterised in that: including signal acquisition transmission module and data processing Display module；The signal acquisition transmission module includes sensor group, power module, wireless transport module, main control module, front end Analog module, sensor group are connected with front end analogue module, and front end analogue module is connected with main control module, main control module and wireless Transmission module, power module are respectively connected with；The data processing display module includes processor and display；The sensor group Including EGC sensor, heart rate sensor, blood oxygen concentration sensor, position detection module, respiratory movement waveform detection module, brain Electrograph detection module, for the data of sensor group acquisition by front end analogue module transfer to main control module, main control module passes through nothing Line transmission module is transmitted to processor, is shown after processor processing by display.

2. vital sign comprehensive detection analysis system according to claim 1, it is characterised in that: the front end analogue module For 8 channel signal collectors, wherein 6 paths and sensor group correspond, 2 paths are reserved sensing equipment interface.

3. vital sign comprehensive detection analysis system according to claim 1, it is characterised in that: the wireless transport module For USR-C322 wireless transport module.

4. vital sign comprehensive detection analysis system according to claim 1, it is characterised in that: the processor includes the heart Electrical filter, FFT spectrum analysis module, wavelet analysis module；Electrocardio filter includes fertile for removing the Bart of myoelectricity interference This low cylinder filter, the zero-phase shift filter with resistance-trap filter and for correcting baseline drift for removing Hz noise, For extracting pulse wave characteristic, obtaining pulse wave signal, the wavelet analysis module is used for brain telecommunications FFT spectrum analysis module Number carry out denoising.

5. vital sign comprehensive detection analysis system according to claim 1, it is characterised in that: the power module includes External cell power supply and USB Power supply.

6. vital sign comprehensive detection analysis system according to claim 1, it is characterised in that: the position detection module For TW -3 type switching regulator position detection sensor.