CN202288268U - Pulse signal detecting and analyzing equipment - Google Patents

Pulse signal detecting and analyzing equipment Download PDF

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Publication number
CN202288268U
CN202288268U CN2011201684147U CN201120168414U CN202288268U CN 202288268 U CN202288268 U CN 202288268U CN 2011201684147 U CN2011201684147 U CN 2011201684147U CN 201120168414 U CN201120168414 U CN 201120168414U CN 202288268 U CN202288268 U CN 202288268U
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signal
pulse
signals
pulse signal
amplifying circuit
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王建新
李秀滢
隋美丽
高献伟
姚栋
周长春
周玉坤
段晓毅
陈汉林
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BEIJING ELECTRONIC SCIENCE AND TECHNOLOGY INSTITUTE
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BEIJING ELECTRONIC SCIENCE AND TECHNOLOGY INSTITUTE
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Abstract

The utility model discloses a pulse signal detecting and analyzing equipment which comprises a sensor for collecting the pulse signals of a human body; the sensor is connected with a data acquisition card which is used to collect induction signals; and the data acquisition card is connected with a computer which computes the signals acquired by the data acquisition card and displays the signals in a graphic format. The data acquisition card comprises an amplifying circuit used to amplify the sensor signals, and a singlechip which is used to collect the amplified signals from the amplifying circuit. The amplifying circuit adopts an LM358 OPAMP (Operational Amplifier) chip, and the pulse signal detecting and analyzing equipment is connected with a USB (Universal Serial Bus) charging port. The pulse signal detecting and analyzing equipment disclosed by the utility model can collect pulse signals, and after being analyzed and computed, the pulse signals can be displayed to a user through the computer equipment, so the user can judge the health condition of the body embodied by the pulse signals according to the content displayed by the computer equipment.

Description

Pulse signal detects and analytical equipment
Technical field
This utility model relates to checkout equipment, is meant that especially a kind of pulse signal detects and analytical equipment.
Background technology
In medical domain, the testing research of biomedical parameters is the new branch of science that medical circle and engineering circle all are concerned about very much.Utilization sensor test technology in modern age solves the Measuring and testing of clinical diagnosis and the multiple parameter of laboratory research, no matter still studies for basic medical for clinical diagnosis and monitoring, all has extremely important value and significance.Coming pulse information is carried out quantitative analysis with the sensor test technology, is one of problem of medical expert's common concern both at home and abroad at present.Though present existing cardiovascular diagnosis and treatment instrument equipment is varied; For example: the technology of comparative maturity has electrocardiogram to detect .x x ray fluoroscopy x, CT scan inspection, nuclear magnetic resonance, NMR, vein Digital Subtraction radiography etc.; Also have present clinical practice more: ultrasoundcardiogram, radionuclide angiocardiography (radionuclide imaging), electrocardio machine drawing, impedance cardiogram and impedance differential ripple figure etc.; But these means or complicated operation, expensive are not easy to check repeatedly, or the diagnosis index that obtains is very few; Limited to the diagnosed disease effect; Particularly in the time will fullying understand the very important cardiac hemodynamic situation of patient's diagnoses and treatment, most of vitro detection instrument is all powerless, the at present clinical detection method that can only take plug in duct in the body; But this method has very large wound and risk to patient, and the wish that requires to implement has quite high technology and appointed condition.
Therefore, present signal detection means is complicated, apparatus expensive, and the old man who is not suitable in family obtains to reflect the health states parameter.
The utility model content
In view of this, this utility model is to provide a kind of pulse signal to detect and analytical equipment, and above-mentioned signal detection means is complicated to solve, apparatus expensive, and the old man who is not suitable in family obtains to reflect the problem of health states parameter.
For addressing the above problem, this utility model provides a kind of pulse signal to detect and analytical equipment, comprising: gather the pick off of human pulse signal, said pick off connects the data collecting card of gathering induced signal; Said data acquisition card connection computer, the signal that the said data collecting card of said Computing obtains, and with the form demonstration of signal with figure.
Preferably, comprise in the said data collecting card: be used to amplify the amplifying circuit of said sensor signal and be used to gather the single-chip microcomputer of said amplifying circuit amplified signal.
Preferably, said amplifying circuit adopts LM358 amplifier chip.
Preferably, said equipment connects the USB charging inlet.
Equipment in this utility model can extract pulse signal, after analyzing computing, is shown to the user through computer equipment.The user can pass through the computer equipment content displayed, judges the healthy situation that pulse signal embodies.
Description of drawings
Fig. 1 is the device structure block diagram among the embodiment;
Fig. 2 is the structure chart of amplifier chip;
Fig. 3 is the logic diagram of discharge circuit;
Fig. 4 to Fig. 7 is the sketch map after the signal analysis of time domain, frequency domain under the different pulse wave.
The specific embodiment
For clearly demonstrating the technical scheme in this utility model, provide preferred embodiment below and be described with reference to the accompanying drawings.
As shown in Figure 1, the equipment in this utility model comprises: gather the pick off of human pulse signal, said pick off connects the data collecting card of gathering induced signal; Said data acquisition card connection computer, the signal that the said data collecting card of said Computing obtains, and with the form demonstration of signal with figure.
Data collecting card comprises: be used to amplify the amplifying circuit of said sensor signal and be used to gather the single-chip microcomputer of said amplifying circuit amplified signal.
What amplifying circuit mainly amplified is the low-voltage signal that pulse transducer is sent here, and data collecting card only receives the voltage signal less than 3.3v, according to amplifying the 60 times of requirements that just can satisfy data collecting card with the pulse transducer parameter, selects LM358 amplifier chip for use.
LM358 inside include two independently, the dual operational amplifier of high-gain, internal frequency compensation; Being suitable for the very wide single supply of supply voltage scope uses; Also be applicable to the dual power supply mode of operation, under the working condition of recommending, source current and independent of power voltage.Its scope of application comprises the occasion of the use operational amplifier of sensor amplifier, DC current gain module and other all available single power supplies.The packing forms of LM358 as shown in Figure 2 has plastic packaging 8 lead-in wire dual inline types and SMD.Annotate: circuit amplification K=R1/R2+1.Fig. 3 is the logical structure sketch map of discharge circuit.
Data collecting card (DAQ) is meant from analog-and digital-unit under tests such as pick off and other Devices to test and adopts non electrical quantity or electric quantity signal automatically, delivers to and analyzes in the host computer, handles.Data collecting system be combine based on the measurement software and hardware product of computer or other special test platforms realize flexibly, user-defined measuring system.Usually, must comprise it is gained or decay and isolates that amplify, some pick off is treated in filtering etc., also pumping signal need be provided at modulation sensor signal before the data acquisition equipment collection.The parameter of the capture card in the present embodiment comprises:
Analog?Input:
Converter Type (translation type): Successive approximation
Analog Inputs (input specification): totally 4 tunnel inputs, but 4 road parallel acquisitions
MAX Sampling Rate (high sampling rate) the every road of KS/s:20KS/s.(sample rate of all passages is identical, can set through corresponding VI or function, and 0-100K can set; The 1-20K standard of comparison if set too highly, as is set at 100K or zero K; It will at full throttle move, and at this time gathering the time reference of returning can be nonstandard)
A/D MAX Resolution (resolution) bits:10bits
AI FIFO (storage depth) bytes:3Kbytes/channel
Input Range (input range) V:0-3.3V
Input Impedance (input impedance) K Ω: 40K Ω
Analog input electric capacity: 1pF
ED differential linearity error: ± 1LSB
EL integral nonlinearity degree: ± 2LSB
EO offset error: ± 3LSB
EG gain error: ± 0.5%
ET absolute error: ± 4LSB
Analog?Output:
Converter Type (translation type): Successive approximation
Analog Outputs (input specification): 1 tunnel output
Output Resolution (output resolution ratio) bits:10bits
Maximum update rate (maximum refresh rate) Hz: integrated circuit board is up to 1MHZ
Output range (output range) V:0-3.3V
Output current drive (output current): maximum current is 700uA
Power supply mode:
1.USB directly power supply need not outsidely be added in addition.(suggestion is with this.)
2. external power source mode: DC6.5V-DC12V (pin is for just in the interface, and suggestion directly use USB power supply gets final product)
Signal through above-mentioned capture card is gathered can carry out analyzing and processing through PC, and be shown to the user.
" arteries and veins map analysis method " is actually a kind of simple temporal analysis; Be that on the pulse signal time waveform (generally getting one of them cycle) some are had " the some parameter " of " clearly " physiological significance; Like parameters such as main ripple, replay prewaves; As the characteristic of describing and characterize the human body pulse condition, and these characteristics and physiological and pathological factor are combined, just possibly obtain the result that some have diagnostic value.Characteristics such as temporal analysis has intuitively, the clinician is acceptant, but still have some insoluble problems:
The temporal signatures of some pulse signal is difficult to accurately confirm, will estimates by rule of thumb that still random error is very big.
The characteristic parameter of time domain arteries and veins figure method is a lot, is difficult to confirm unified standard.
Time domain arteries and veins figure method is analyzed the wave character of one-period often, can not the full detail that pulse comprised be used, because it only is based upon on some point of one-period curve.
Spectrum analysis is a kind of effective ways of processing fluctuation information commonly used, also is used for the research of pulse information and Chinese medicine pulse in recent years.As noted earlier, many different types of pulse signals are distinguished very little on time domain waveform, in time domain, be difficult to they identifications, but when doing them frequency-domain analysis or more handle in the territory of complicacy, its difference are just apparent in view.
Can carry out frequency-domain analysis through PC; At first confirm the pulse signal sample frequency; Select suitable sample frequency (Manchu's nyquist sampling theorem) can avoid aliasing, suitably improve frequency resolution and can weaken the influence of leakage effect and fence effect frequency spectrum.Therefore, when sampling, need reasonably select sampling parameter according to the characteristics of signal.
According to sampling thheorem, the sample sequence that make analogue signal is unique, and to the limited analogue signal of a frequency band, its sample frequency f must be more than or equal to signal highest frequency f so aMust be more than or equal to signal highest frequency f hTwo times, promptly
f a≥2f h
Generally get 2-5 doubly, native system is got f a=5f h=10Hz.
Selected as required then frequency resolution.Frequency resolution f bDepend on selected signal length (being sample length) t p, the relation between they the two is:
f b = 1 t p
Under the certain situation of sample frequency, sample length t pLong more, frequency resolution f then bMore little, the spectrum structure of being tried to achieve is careful more.For this more stable quasi-periodic signal of pulse because that its spectrum structure changes in time is less, so temporal resolution lower have little or nothing to do with, and should get long sample length t pTo satisfy high-precision frequency resolution.So this paper chooses a kind length t p=5S (approximately containing 8 pulse cycles), then frequency discrimination is:
f b=1/t p=0.2Hz。
After the selected frequency resolution, can basis
N=f a/f b
Confirm sampling number N, i.e. N=10/0.2=50.But the sampling number that the FFT variation in we needs in later stage should be 2 n power, so the decision sampling number is 128.
The spectrum analysis of pulse signal.Pulse signal X (t) converts digital signal x (n) to through the front end embedded system earlier and is sent on the upper PC.Calculate instantaneous spectrum then:
S r(k)=F[W(n)·x(n)],(0≤n≤N-1,0≤k≤N-1)
Wherein F [] expression discrete Fourier direct transform, in its calculating process just, the inverse transformation relation is:
X ( k ) = 1 N Σ n = 0 N - 1 x ( n ) · exp ( - j 2 πkn / N ) x ( n ) = Σ n = 0 N - 1 X ( k ) · exp ( j 2 πkn / N ) ( 0 ≤ n ≤ N - 1 ) ,
W (n) is the Hanning window function, that is:
W(n)=(1/2)·{1-CoS[2πn/(N-1)]},0≤n≤N-1
So power spectrum is:
S γx ( x ) = S γ ( ) ‾ · S γ ( ) ‾ = | S γ ( k ) | ‾ 2 ( 0 ≤ k ≤ N - 1 )
Wherein
Figure 407376DEST_PATH_GSB00000684358300073
Be S r(k) common rail plural number.The parameter of FFT computing is provided with as follows:
Sample frequency f=10Hz
Sample length T=5s
Sampling number N=128
Obtain the pulse condition power spectrum chart at last.Computational process is used fast Fourier transform (FFT), on host computer, carries out.The sketch map of the time domain that obtains at last, the power spectrum chart of frequency domain can be referring to Fig. 4 to Fig. 7.
Monitoring and analysis through top several samples; The pulse state that we can find out everyone is different; It is single that we can find out the amplitude of beating of pulse dancing number of times, pulse in 5 seconds and calculate the jumping frequency rate of pulse from the time domain waveform figure; But beating of pulse can have certain variation because of extraneous variation sometimes, but the Power Spectrum Distribution of most of pulse that we directly find out people from spectrogram then can be analyzed and learn that pulse is to belong to low frequency signal at 0~30Hz; Figure through after the FFT variation is symmetric; So we only need to analyze the left-half figure, we can find out that the trend of pulse signal power spectrum is the rising along with frequency from figure, and the amplitude of corresponding harmonic wave is dull decline.In actual measurement, can record a plurality of harmonic waves, through frequency analysis, can obtain the amplitude-frequency characteristic of each harmonic wave, and the amplitude difference of each harmonic wave has determined that the form of pulse wave on time domain is different just.Higher hamonic wave often is aliasing in noise because amplitude is less, can ignore.The various differences of just corresponding humorous wave amplitude are analyzed the difference of corresponding time domain waveform, these our bad analysis on time domain waveform, and come further to confirm whether my pulse has problem.Also can obtain harmonic wave number and each harmonic wave peak value of each pulse wave power spectrum through further calculating, these all are the important parameters of diagnosis of various disorders.
For the equipment of being set forth among each embodiment of this utility model, all within the spirit and principle of this utility model, any modification of being done, be equal to replacement, improvement etc., all should be included within the protection domain of this utility model.

Claims (4)

1. a pulse signal detects and analytical equipment, it is characterized in that, comprising: gather the pick off of human pulse signal, said pick off connects the data collecting card of gathering induced signal; Said data acquisition card connection computer, the signal that the said data collecting card of said Computing obtains, and with the form demonstration of signal with figure.
2. equipment according to claim 1 is characterized in that, comprises in the said data collecting card: be used to amplify the amplifying circuit of said sensor signal and be used to gather the single-chip microcomputer of said amplifying circuit amplified signal.
3. equipment according to claim 2 is characterized in that, said amplifying circuit adopts LM358 amplifier chip.
4. equipment according to claim 1 is characterized in that, said equipment connects the USB charging inlet.
CN2011201684147U 2011-05-25 2011-05-25 Pulse signal detecting and analyzing equipment Expired - Fee Related CN202288268U (en)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110859611A (en) * 2019-12-19 2020-03-06 上海宏桐实业有限公司 Board card formula electrophysiological signal amplification system

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110859611A (en) * 2019-12-19 2020-03-06 上海宏桐实业有限公司 Board card formula electrophysiological signal amplification system

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