CN107811619B - Portable pulse diagnosis instrument and analysis method thereof - Google Patents
Portable pulse diagnosis instrument and analysis method thereof Download PDFInfo
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- A61B5/02—Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
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Abstract
The invention discloses a pulse condition analysis method, which comprises the steps of collecting pulse signals of a user in real time through a collection module, processing the pulse signals through a preprocessing module and an A/D conversion module and then sending the processed pulse signals to an ARM system; the ARM system processes and analyzes the received pulse signals to obtain the health state of the tester; displaying the obtained diagnosis result through a display module; the invention can accurately collect the pulse condition of the user and further process and analyze the pulse condition on the basis, thereby obtaining an accurate health condition diagnosis result and avoiding the deviation of a discrimination result caused by insufficient medical experience of a doctor.
Description
[ technical field ] A method for producing a semiconductor device
The invention belongs to the technical field of medical instruments, and particularly relates to a portable pulse diagnosis instrument and an analysis method thereof.
[ background of the invention ]
At present, various pulse diagnosis instruments (or pulse condition instruments) with different performances are developed in China, and different sensors and pulse condition identification technologies are respectively used for the instruments. At present, the pulse diagnosis instrument has the price of more than ten thousand yuan, large volume and low precision, and is difficult to achieve the effects of convenience and practicability, so the pulse diagnosis instrument is mainly used for the teaching and research of traditional Chinese medicine and is not applied to clinical diagnosis.
The future pulse diagnosis instrument will develop towards the direction of small volume, high precision, intuitive operation and remote monitoring, and will enter into practical clinical application from teaching research.
[ summary of the invention ]
The invention aims to provide a portable pulse diagnosis instrument and an analysis method thereof, and solves the problems of low precision, high cost and large volume of the conventional pulse diagnosis instrument.
The invention adopts the following technical scheme: a pulse condition analysis method is implemented according to the following steps:
step 2.1, intercepting a section of stable pulse waveform from the received pulse signal;
step 2.2, in the stable pulse waveform, carrying out period division by using an extreme method to obtain a period value T of the pulse;
and 2.3, obtaining four amplitude characteristic values of the pulse signal according to the pulse period value T: dominant wave amplitude h1Major strait amplitude h2Wave crest amplitude h before heavy pulse3And the peak amplitude value h of the heavy pulse5(ii) a And the time characteristic value corresponding to each amplitude characteristic value: amplitude h from the beginning of the cycle to the main wave1Time t of1Amplitude h from the start of the cycle to the main channel2Time t of2Amplitude h from cycle start to wave crest before dicrotic pulse3Time t of3Cycle start to dicrotic peak amplitude h5Time t of5；
Seven characteristic values of the pulse signal are obtained through the calculation of the characteristic values: three amplitude characteristic values h2/h1，h3/h1，h5/h1Four time characteristic values t1/T，t2/T，t3/T，t5/T；
Step 2.4, carrying out Fourier transform on the pulse signal to obtain a fundamental frequency value f of a pulse signal power spectrum0；
Step 2.5, obtaining three amplitude characteristic values h through step 2.32/h1，h3/h1，h5/h1Four time characteristic values t1/T，t2/T，t3/T，t5T, and the fundamental frequency f of the pulse signal power spectrum obtained in step 2.40Processing the input pulse signals by combining a BP neural network algorithm to obtain the pulse signal processing result of the user;
and 3, displaying the pulse signal processing result of the user obtained in the step 2.5 through a display module.
Further, the specific method for obtaining the pulse period value T in step 2.2 is as follows:
step 2.2.1, selecting a section of pulse condition signal S from the stable pulse waveform(t)To S(t)First order derivation is carried out to find out all time points t corresponding to the zero points(n)N is an integer greater than or equal to 1, and a peak point B of the periodic signal is found out in n time points;
step 2.2.2, finding out all minimum value points and maximum value points in the section of waveform;
step 2.2.3, searching a peak point B' of the next period after the peak point B; when the pulse condition signal S(t)No B' point exists in the pulse signal S(t)Continuing to search until a point B' is found;
step 2.2.4, finding out a minimum value point A, A 'before the point B and the point B' respectively;
and 2.2.5, the distance between the point A and the point A 'or the distance between the point B and the point B' is the pulse period T.
The other technical scheme of the invention is as follows: the portable pulse diagnosis instrument used in the pulse condition analysis method comprises a detection device for acquiring a pulse signal of a user, wherein the detection device comprises an acquisition module, a preprocessing module, an A/D conversion module and a wireless transmission module which are sequentially connected;
the acquisition module is used for acquiring a human wrist pulse signal and sending the acquired wrist pulse signal to the preprocessing module; the preprocessing module is used for receiving the pulse signals sent by the acquisition module, amplifying and denoising the pulse signals, and sending the processed pulse signals to the A/D conversion module; the A/D conversion module is used for receiving the preprocessed pulse signals and converting the pulse signals into corresponding digital signals; the wireless transmitting module is used for transmitting the digital signal after the A/D conversion to the display terminal;
the display terminal is used for analyzing the pulse signals acquired by the detection device and displaying diagnosis results and comprises a wireless receiving module, a receiving control circuit, a serial port communication module, an ARM system and a display module which are sequentially connected;
the wireless receiving module is used for receiving the digital signal sent by the wireless sending module and sending the digital signal to the ARM system through the serial port communication module; and the ARM system is used for processing and analyzing the received digital signals and sending the diagnosis result to the display module.
Further, the preprocessing module comprises a voltage boost circuit and a filter circuit which are connected with each other;
the voltage lifting circuit is used for normalizing the pulse signal voltage sent by the acquisition module, amplifying the pulse signal voltage and sending the amplified pulse signal to the filter circuit; and the filter circuit is used for receiving the amplified pulse signals and filtering and denoising the pulse signals.
Furthermore, the voltage boost circuit comprises an OP07 operational amplifier, one path of the output end of the OP07 operational amplifier is connected with the voltage output, the other path of the output end is connected with the inverting input end of the OP07 operational amplifier through a second resistor R2, the inverting input end of the OP07 operational amplifier is grounded after passing through a first resistor R1, one path of the non-inverting input end of the OP07 operational amplifier is connected with +5V through a third resistor R3, the other path of the output end is connected with the circuit input through a fourth resistor R4, and the non-inverting input end of the OP07 operational amplifier is grounded after passing through a fifth resistor R5.
Furthermore, the filter circuit comprises an OP07 operational amplifier, one path of the output end of the OP07 operational amplifier is connected with a voltage output, the other path of the output end is connected with the inverting input end of the OP07 operational amplifier through a second resistor R2, the inverting input end of the OP07 operational amplifier is grounded after passing through a first resistor R1, one path of the non-inverting input end of the OP07 operational amplifier is grounded after passing through a second capacitor C2, the other path of the output end is connected with one end of a fourth resistor R4, the other end of the fourth resistor R4 is divided into two paths, one path of the output end is connected with the circuit input through a third resistor R3, and the other path of the output end is grounded after passing through a first capacitor C1.
Furthermore, a sending control circuit is arranged between the A/D conversion module and the wireless sending module, and the sending control circuit is used for controlling data communication between the A/D conversion module and the wireless sending module.
Furthermore, the pulse signal acquisition module is a photoelectric sensor.
Further, a serial port chip of the serial port communication module is a MAX232 single power level conversion chip.
The invention has the beneficial effects that: the pulse condition of the user can be accurately collected, the pulse period is divided by adopting an extreme method, seven characteristic values of the pulse signal are further obtained, the pulse signal is processed by adopting Fourier transform and BP neural network algorithms in sequence, an accurate health condition diagnosis result is obtained, and deviation of a discrimination result caused by insufficient medical experience of a doctor is avoided.
[ description of the drawings ]
FIG. 1 is a connection diagram of hardware modules of the portable pulse diagnosis instrument of the present invention;
FIG. 2 is a schematic block diagram of an analysis method of the portable pulse diagnosis instrument of the present invention;
FIG. 3 is a diagram illustrating the amplitude characteristic of the pulse signal;
FIG. 4 is a schematic structural diagram of a BP neural network 8-11-2;
FIG. 5 is a flow chart of a cycle capture and pulse period value acquisition;
FIG. 6 is a schematic diagram of a complete pulse cycle;
FIG. 7 is a voltage boost circuit diagram according to the present invention;
fig. 8 is a circuit diagram of a filter circuit according to the present invention.
Wherein: 1. an acquisition module; 2. a preprocessing module; 2-1. a voltage boost circuit; 2-2. a filter circuit; 3, an A/D conversion module; 4. a transmission control circuit; 5. a wireless transmission module; 6. a wireless receiving module; 7. a reception control circuit; 8. a serial port communication module; an ARM system; 10. and a display module.
[ detailed description ] embodiments
The present invention will be described in detail below with reference to the accompanying drawings and specific embodiments.
The invention discloses a pulse condition analysis method, which is implemented according to the following steps as shown in figure 2:
step 2.1, intercepting a section of stable pulse waveform from the received pulse signal;
and 2.2, dividing the pulse period in the stable pulse waveform by using an extreme point method to obtain a pulse period value T.
As shown in fig. 5, the specific method is as follows:
step 2.2.1, selecting a section of stable pulse waveform S(t)To S(t)Performing first-order derivation to find out time points t corresponding to all the zero points(n)N is an integer greater than or equal to 1, a point with a corresponding signal maximum value is searched in n time points and is used as a peak time point B of the first periodic signal, and the peak point is a main peak point;
step 2.2.2, calculating all minimum value points and maximum value points in the section of waveform;
step 2.2.3, searching a peak point B' of the next period after the peak point B;
because the right side of the B is the descending branch of the waveform, all extreme points on the descending branch are lower than the main peak point and sharply descend from left to right, accordingly, the first peak point which does not greatly descend or ascend after the descending branch can be used as the peak point B' of the next period, and the pulse value corresponding to the peak point is larger than the value of the peak point on the right side of the peak point;
if the pulse condition signal S(t)If there is no B' point, the pulse signal S is prolonged(t)Continues the search.
Step 2.2.4, finding out a minimum value point A, A 'before the point B and the point B' respectively;
taking the first immediately adjacent valley point (minimum point) before the point B as the starting point A of the current wave band; if the pulse condition signal S(t)If there is no valley point, the point B' needs to be changed to the point B, and the step 2.2.3 is returned to continue the execution.
The same method as above is used to find the starting point a' of the next cycle, which is also the ending point of the current cycle.
Step 2.2.5, as shown in FIG. 6, the distance between the points A and A 'or the distance between the points B and B' is the pulse period T
Step 2.3, four amplitude characteristic values of the pulse signals are solved: dominant wave amplitude h1Major strait amplitude h2Wave crest amplitude h before heavy pulse3And the peak amplitude value h of the heavy pulse5And each amplitudeThe time characteristic value corresponding to the characteristic value is as follows: amplitude h from the beginning of the cycle to the main wave1Time t of1Amplitude h from the start of the cycle to the main channel2Time t of2Amplitude h from cycle start to wave crest before dicrotic pulse3Time t of3Cycle start to dicrotic peak amplitude h5Time t of5。
As shown in fig. 3, the specific method is:
when the pulse period only has one main wave peak point and no other maximum value exists, the pulse period is indicated to have no repeating pre-pulse wave, repeating pulse wave and central isthmus, the right side of the pulse period is relatively stable, and the parameter extraction of the signal is immediately finished;
when two peak points exist in the pulse period, the larger peak point is the main wave peak point, the smaller peak point is the dicrotic wave peak point F, the minimum value point between the two peak points is the central isthmus point E, and the central isthmus height h is obtained4And its corresponding time t4；
When the pulse cycle has three or more maximum values, the pulse cycle sequentially comprises a main wave peak point, a counterpulsation wave peak point and a counterpulsation wave peak point, wherein a minimum value point between the main wave peak point and the counterpulsation wave peak point is a main isthmus point C, and a minimum value point between the counterpulsation wave peak point and the counterpulsation wave peak point is a descending isthmus point E. Thus, the parameters of the periodic pulse can be obtained.
Wherein the dominant wave amplitude h1And is the amplitude value of the main wave peak. It reflects the degree of compliance of the cardiac artery and the quality of the ejection function of the left ventricle; dominant notch amplitude h2The value is the wave trough between the main wave and the counterpulsation front wave, and the value reflects the resistance condition of the artery and the elasticity of the artery; amplitude value h of wave crest of prepulse3The physiological meaning and the amplitude h of the dominant channel of the expression2Similarly; amplitude value h of dicrotic wave crest5Which reflects arterial vascular compliance.
Step 2.4, carrying out Fourier transform on the pulse signal to obtain a fundamental frequency value f of a pulse signal power spectrum0It indicates how fast the heart is beating.
Step 2.5, using steps 2.2, 2.3 and 2.4As a result, eight feature values can be calculated: three amplitude characteristic values h2/h1，h3/h1，h5/h1Four time characteristic values t1/T，t2/T，t3/T，t5T, and the fundamental frequency f of the power spectrum of the pulse signal0。
As shown in fig. 4, the input pulse signal is processed by combining with the BP neural network algorithm, and a pulse signal processing result of the user is obtained, which corresponds to whether the user is in a healthy state or in a sub-healthy state.
The specific structure of the BP neural network algorithm is as follows: the input layer has 8 neurons, corresponds 8 eigenvalues respectively, and the hidden layer has 11 neurons, and the output layer is 2, corresponds two kinds of states health and sub-health respectively. The structure is obtained by training and calculating a large amount of healthy and sub-healthy standard pulse condition data, and is detailed as follows:
454 groups of data are selected for simulation experiments. The health data were 291 groups and the sub-health data were 163 groups. 270 of the data are used to train the neural network, and the remaining 184 sets of data are used to test the recognition rate of the network. With the increase of the number of hidden layer neurons in the neural network, the recognition rate does not increase linearly, but increases and then gradually decreases. When the number of neurons reaches 11, namely the position of the neural network structure BP8-11-2 reaches the maximum value, the recognition rate of both healthy and sub-healthy reaches the maximum value, the recognition rate of healthy reaches 91.7%, and the recognition rate of sub-healthy reaches 91.2%.
And 3, displaying the pulse signal processing result of the user through the display module 10.
The invention also discloses a portable pulse diagnosis instrument used in the pulse condition analysis method, which is composed of a detection device and a display terminal as shown in figure 1. The detection device is used for collecting the pulse signals of the user and comprises a collection module 1, a preprocessing module 2, an A/D conversion module 3 and a wireless sending module 5 which are sequentially connected.
The pulse diagnosis instrument further comprises a display terminal used for analyzing the pulse signals collected by the detection device and displaying diagnosis results, and the display terminal comprises a wireless receiving module 6, a serial communication module 8, an ARM system 9 and a display module 10 which are connected in sequence.
The acquisition module 1 is used for acquiring wrist pulse signals of a human body and sending the acquired wrist pulse signals to the preprocessing module 2. The traditional pulse signal acquisition methods mainly comprise three methods: firstly, extracting from electrocardiosignals; secondly, the fluctuation measured by the pressure sensor when measuring the blood pressure is obtained; and thirdly, a photo-capacitance method. Both of the first two methods of extracting the signal may limit the patient's activities and may increase the patient's physical and psychological discomfort if used for a long time. Therefore, the invention adopts the photoelectric pulse sensor, namely a photoelectric volume method to acquire the pulse signals. The photoelectric pulse sensor is fixed on the wrist of a patient through a bandage or a clip and consists of a light source and a photoelectric converter. The light source is generally a light emitting diode of a certain wavelength (500nm to 700nm) selective for oxygen and hemoglobin in arterial blood. When light beam penetrates through peripheral blood vessel of human body, the light transmittance of the light beam is changed due to blood congestion volume change of artery pulsation, and at the moment, the light reflected by human body tissue is received by the photoelectric transducer, converted into electric signal, amplified and output. Since the pulse is a signal that changes periodically with the pulsation of the heart and the arterial blood vessel volume also changes periodically, the period of change of the electrical signal of the photoelectric transducer is the pulse rate. The method has the characteristics of simplicity, convenience in use, high reliability and the like.
The preprocessing module 2 is used for receiving the pulse signals sent by the acquisition module 1, and mainly has the functions of amplifying weak signals, filtering noise mixed in the signals, adjusting analog signals to the range allowed by A/D conversion, and sending the processed pulse signals to the A/D conversion module 3 which comprises a voltage lifting circuit 2-1 and a filter circuit 2-2 which are mutually connected.
As shown in fig. 7, the voltage boost circuit 2-1 is configured to normalize and amplify the voltage of the pulse signal sent by the acquisition module 1, and send the amplified pulse signal to the filter circuit 2-2. The voltage lifting circuit 2-1 can adopt a common in-phase summation circuit, namely, the in-phase summation circuit is adopted to increase the voltage of the pulse signal by a corresponding voltage value, thereby realizing the voltage lifting of the pulse signal.
The voltage boost circuit 2-1 comprises an OP07 operational amplifier, one path of the output end of the OP07 operational amplifier is connected with a voltage output, the other path of the output end is connected with the inverting input end of the OP07 operational amplifier through a second resistor R2, the inverting input end of the OP07 operational amplifier is grounded after passing through a first resistor R1, one path of the positive phase input end of the OP07 operational amplifier is connected with +5V through a third resistor R3, the other path of the input end is connected with a circuit input through a fourth resistor R4, and the other path of the positive phase input end of the OP07 operational amplifier is grounded after passing through a fifth resistor R5.
The voltage of the pulse signal is in the range of-0.5V-1.5V. In order to facilitate the subsequent data processing, the voltage needs to be subjected to positive value preprocessing, namely, the in-phase amplifying circuit is adopted to increase the pulse signal voltage by corresponding voltage, so that the voltage of the pulse signal is raised. The amplifier selected in the invention is an OP07 operational amplifier, the operational amplifier has high precision, and the amplitude of the input noise voltage is lower than that of other similar devices.
As shown in fig. 8, the filter circuit 2-2 is used for receiving the amplified pulse signal and performing filtering and denoising thereon. Due to the shaking or other interference of the human body, the collected pulse wave of the human body contains a lot of clutter, and the normal pulse frequency of the human body is very low and is only limited in a small segment, so a hardware filter circuit is required to be added for initial filtering. The filter circuit 2-2 may be a simple second-order low-pass filter.
The filter circuit 2-2 comprises an OP07 operational amplifier, one path of the output end of the OP07 operational amplifier is connected with voltage output, the other path of the output end of the OP07 operational amplifier is connected with the inverting input end of the OP07 operational amplifier through a second resistor R2, the inverting input end of the OP07 operational amplifier is grounded after passing through a first resistor R1, one path of the non-inverting input end of the OP07 operational amplifier is grounded after passing through a second capacitor C2, the other path of the output end of the OP07 operational amplifier is connected with one end of a fourth resistor R4, the other end of the fourth resistor R4 is divided into two paths, one path of the output end of the OP07 operational amplifier is connected with the circuit input through a third resistor R3, and the other path of the output end of the OP07 operational amplifier is grounded after passing through a first capacitor C1.
Because some other interferences such as power frequency interference and the like can be introduced into the voltage boost circuit 2-1, the filter circuit 2-2 not only eliminates the interference generated in the voltage boost circuit 2-1, but also eliminates the interference generated in the system due to other reasons. In addition, the output signal of the filter circuit 2-2 is transmitted to the a/D conversion module 3 for the next analog-to-digital conversion. The frequency of the human body pulse signals is very low, the pulse signals collected by the pulse sensor are easily interfered by some factors, and the interference can be eliminated by processing the pulse signals through a hardware circuit or software filtering. The invention adopts a low-pass filter circuit method on hardware to carry out interference removal processing on the acquired pulse signals.
And the A/D conversion module 3 is used for receiving the pulse signals which are amplified and subjected to drying removal processing, converting the pulse signals into corresponding digital signals and then sending the digital signals to the wireless sending module 5 through the sending control circuit 4. The A/D conversion module 3 of the invention adopts a 16-bit ATmega328 low-power-consumption A/D conversion chip, and only takes 10 bits higher than the AD conversion result in use.
A sending control circuit 4 is arranged between the A/D conversion module 3 and the wireless sending module 5, the sending control circuit 4 is used for controlling data communication between the A/D conversion module 3 and the wireless sending module 5, and the task of the sending control circuit is to arrange the time sequence problem of analog-to-digital conversion and receive the instruction sent by an upper computer. The wireless transmitting module 5 is used for transmitting the digital signal to the wireless receiving module 6.
And the wireless receiving module 6 is used for receiving the digital signal sent by the wireless sending module 5 and sending the digital signal to the ARM system 9 through the serial port communication module 8. Since the present invention is intended to be used in a short-distance environment in a ward, office or home room, the distance is about several tens of meters, and a short-distance wireless transmission technique is suitably used. The invention adopts the nRF series based on the FHSS technology, which is a radio frequency system-level chip with the minimum volume, the minimum power consumption, the minimum peripheral elements and the minimum cost in the industry. The module interface formed by the chip has the advantages of simple mode, convenient programming, higher communication rate, higher stability and safety and low cost by adopting spread spectrum and frequency hopping technologies.
A receiving control circuit 7 is arranged between the wireless receiving module 6 and the serial port communication module 8, the receiving control circuit 7 is used for controlling data communication between the wireless receiving module 6 and the serial port communication module 8, the task of the receiving control circuit is to arrange the time sequence problem of data transmission, and the receiving control circuit controls the digital signals received by the wireless receiving module 6 and sent by the wireless sending module 5 and sent to the serial port communication module 8.
And the serial port communication module 8 is used for receiving digital signals and sending the digital signals to the ARM system 9, is a connecting part of the upper computer and the lower computer, plays a role of a bridge, and can send acquired pulse data to the embedded ARM microprocessor system through the interface circuit, and then can perform signal processing analysis on the next step. The interface of the serial port mode needs a serial port chip and components to realize the communication between the single chip microcomputer and the embedded ARM microprocessor system, and has the advantages of concise design, low cost and greatly shortened development period. The serial port communication module 8 uses a MAX232 single power supply level conversion chip. MAXIM 232 chips from MAXIM corporation work reliably with few peripheral devices. The complete RS-232C interface has 25 wires and adopts a 25-core socket, most serial ports of the ARM adopt a simplified 9-pin socket, and the serial port programming only needs to use 2, 3 and 5 ends of the 9-pin socket. When serial communication is performed between the ATmega328 and the ARM in the A/D conversion module 3, an asynchronous communication mode is adopted, and data is sent and received according to a specified format. The crystal oscillator of the system is 32kHz, an auxiliary clock ACLK is used, the baud rate is set to be 9600 bits/second, the transmission rate can be completely met, and the data bits are 8 bits. Two pins for receiving and sending by the serial port of the single chip microcomputer are selected as a second function, namely the serial port function, and the single chip microcomputer interrupts sending by using the serial port when needing to send data.
And the ARM system 9 is used for processing and analyzing the received digital signals and sending the diagnosis result to the display module 10. The ARM system 9 receives the digital signal sent from the serial port communication module 8, performs a series of processing such as feature extraction, recognition algorithm, health/sub-health judgment and the like on the digital signal, and sends a final health/sub-health judgment result to the display module 10.
And the display module 10 is used for displaying the result after the analysis and the processing of the ARM system 9. The display module 10 has a human-computer interaction function, and can realize functions of storing, inquiring, editing, analyzing, displaying and the like of pulse wave data and personal information. The function realization of the display module 10 in the invention adopts C + + based open source library Qt technology.
The invention extracts useful human pulse wave information finally according to a series of calculation and processing of pulse wave data, and displays the information, so that the tested person can know the health condition of the tested person. In addition, the wireless receiving module 6 and the wireless sending module 5 both provide a perfect Bluetooth communication technical scheme by using an HC-06 Bluetooth module, have 8Mbit Flash and 2.4GHz antennas, and adopt a self-adaptive frequency hopping technology. Meanwhile, the configuration process is optimized, the safety and reliability are improved, the power consumption is reduced, the transmission rate is as high as 3Mbps, and the method has stable data transmission capability and higher real-time performance. The analysis result display module 10 of the portable pulse diagnosis instrument can be installed on a mobile phone, and also can be installed on a computer or other instruments, namely, the analysis result display module can be displayed on the mobile phone and also can be displayed on the computer or other instruments. This is a feature and advantage of the present application.
The portable pulse diagnosis instrument has the advantages of small volume, portability, low price, intuitive operation, remote monitoring and realization of diversification of diagnosis systems.
In addition, the portable pulse diagnosis instrument has good data acquisition capacity (the sampling rate is 100Hz, and the sampling precision is 10bit), and has the following characteristics:
(1) stable data transmission capacity and high real-time performance.
(2) Low cost and small size. The design is based on an AVR singlechip as a control core, and is a low-cost micro-processor, so that the cost is reduced, and the volume is reduced.
(3) And the simple and clear interactive interface is realized.
Claims (2)
1. A pulse condition analysis method is characterized by comprising the following steps:
step 1, acquiring a pulse signal of a user in real time through an acquisition module (1), processing the pulse signal through a preprocessing module (2) and an A/D conversion module (3), and sending the processed pulse signal to an ARM system (9);
the preprocessing module (2) comprises a voltage boost circuit (2-1) and a filter circuit (2-2) which are connected with each other;
the voltage lifting circuit (2-1) is used for normalizing and amplifying the voltage of the pulse signal sent by the acquisition module (1) and sending the amplified pulse signal to the filter circuit (2-2); the filter circuit (2-2) is used for receiving the amplified pulse signal and filtering and denoising the amplified pulse signal;
the voltage boost circuit (2-1) comprises an OP07 operational amplifier, one path of the output end of the OP07 operational amplifier is connected with a voltage output, the other path of the output end of the OP07 operational amplifier is connected with the inverting input end of the OP07 operational amplifier through a second resistor R2, the inverting input end of the OP07 operational amplifier is grounded after passing through a first resistor R1, one path of the non-inverting input end of the OP07 operational amplifier is connected with +5V through a third resistor R3, the other path of the non-inverting input end of the OP07 operational amplifier is connected with a circuit input through a fourth resistor R4, and the non-inverting input end of the OP07 operational amplifier is grounded after passing through a fifth resistor R5;
the filter circuit (2-2) comprises an OP07 operational amplifier, one path of the output end of the OP07 operational amplifier is connected with a voltage output, the other path of the output end of the OP07 operational amplifier is connected with the inverting input end of the OP07 operational amplifier through a second resistor R2, the inverting input end of the OP07 operational amplifier is grounded after passing through a first resistor R1, one path of the inverting input end of the OP07 operational amplifier is grounded after passing through a second capacitor C2, the other path of the inverting input end of the OP07 operational amplifier is connected with one end of a fourth resistor R4, the other end of the fourth resistor R4 is divided into two paths, one path of the inverting input end of the OP07 operational amplifier is connected with the circuit input through a third resistor R3, and the other path of the inverting input end of the OP 8532 operational amplifier is grounded after passing through a first capacitor C1;
step 2, the ARM system (9) processes and analyzes the received pulse signals:
step 2.1, intercepting a section of stable pulse waveform from the received pulse signal;
step 2.2, in the stable pulse waveform, carrying out period division by using an extreme method to obtain a period value T of the pulse;
the specific method for obtaining the pulse period value T in the step 2.2 comprises the following steps:
step 2.2.1, selecting a section of pulse signal S (t) from the stable pulse waveform, carrying out first-order derivation on the S (t), finding out time points t (n) corresponding to all zero points, wherein n is an integer greater than or equal to 1, and finding out a peak point B of a periodic signal from n time points;
step 2.2.2, finding out all minimum value points and maximum value points in the section of pulse waveform;
step 2.2.3, searching a peak point B' of the next period after the peak point B; when the B 'point does not exist in the pulse signal S (t), the range of the pulse signal S (t) is extended, and the search is continued until the B' point is found;
step 2.2.4, finding out a minimum value point A, A 'before the point B and the point B' respectively;
step 2.2.5, the distance between the point A and the point A 'or between the point B and the point B' is the pulse period T;
and 2.3, obtaining four amplitude characteristic values of the pulse signal according to the pulse period value T: dominant wave amplitude h1Major strait amplitude h2Wave crest amplitude h before heavy pulse3And the peak amplitude value h of the heavy pulse5(ii) a And the time characteristic value corresponding to each amplitude characteristic value: amplitude h from the beginning of the cycle to the main wave1Time t of1Amplitude h from the start of the cycle to the main channel2Time t of2Amplitude h from cycle start to wave crest before dicrotic pulse3Time t of3Cycle start to dicrotic peak amplitude h5Time t of5；
Seven characteristic values of the pulse signal are obtained through the calculation of the characteristic values: three amplitude characteristic values h2/h1，h3/h1，h5/h1Four time characteristic values t1/T，t2/T，t3/T，t5/T；
Step 2.4, carrying out Fourier transform on the pulse signal to obtain a fundamental frequency value f of a pulse signal power spectrum0；
Step 2.5, obtaining three amplitude characteristic values h through step 2.32/h1，h3/h1，h5/h1Four time characteristic values t1/T，t2/T，t3/T，t5T, and the fundamental frequency f of the pulse signal power spectrum obtained in step 2.40Combined with BP neural network algorithmProcessing the input pulse signals to obtain the pulse signal processing result of the user; the BP neural network input layer is provided with 8 neurons which respectively correspond to 8 characteristic values, the hidden layer is provided with 11 neurons, and the output layer is 2;
and 3, displaying the pulse signal processing result of the user obtained in the step 2.5 through a display module (10).
2. The portable pulse diagnosis instrument used in the pulse condition analysis method according to claim 1, comprising a detection device for collecting the pulse signal of the user, wherein the detection device comprises a collection module (1), a preprocessing module (2), an A/D conversion module (3) and a wireless transmission module (5) which are connected in sequence;
the acquisition module (1) is used for acquiring wrist pulse signals of a human body and sending the acquired wrist pulse signals to the preprocessing module (2); the preprocessing module (2) is used for receiving the pulse signals sent by the acquisition module (1), amplifying and denoising the pulse signals, and sending the processed pulse signals to the A/D conversion module (3); the A/D conversion module (3) is used for receiving the preprocessed pulse signals and converting the pulse signals into corresponding digital signals; the wireless sending module (5) is used for sending the digital signal after A/D conversion to a display terminal;
the display terminal is used for analyzing the pulse signals acquired by the detection device and displaying diagnosis results and comprises a wireless receiving module (6), a receiving control circuit (7), a serial port communication module (8), an ARM system (9) and a display module (10) which are connected in sequence;
the wireless receiving module (6) is used for receiving the digital signal sent by the wireless sending module (5) and sending the digital signal to the ARM system (9) through the serial port communication module (8); the ARM system (9) is used for processing and analyzing the received digital signals and sending diagnosis results to the display module (10);
the preprocessing module (2) comprises a voltage boost circuit (2-1) and a filter circuit (2-2) which are connected with each other;
the voltage lifting circuit (2-1) is used for normalizing and amplifying the voltage of the pulse signal sent by the acquisition module (1) and sending the amplified pulse signal to the filter circuit (2-2); the filter circuit (2-2) is used for receiving the amplified pulse signal and filtering and denoising the amplified pulse signal;
the voltage boost circuit (2-1) comprises an OP07 operational amplifier, one path of the output end of the OP07 operational amplifier is connected with a voltage output, the other path of the output end of the OP07 operational amplifier is connected with the inverting input end of the OP07 operational amplifier through a second resistor R2, the inverting input end of the OP07 operational amplifier is grounded after passing through a first resistor R1, one path of the non-inverting input end of the OP07 operational amplifier is connected with +5V through a third resistor R3, the other path of the non-inverting input end of the OP07 operational amplifier is connected with a circuit input through a fourth resistor R4, and the non-inverting input end of the OP07 operational amplifier is grounded after passing through a fifth resistor R5;
the filter circuit (2-2) comprises an OP07 operational amplifier, one path of the output end of the OP07 operational amplifier is connected with a voltage output, the other path of the output end of the OP07 operational amplifier is connected with the inverting input end of the OP07 operational amplifier through a second resistor R2, the inverting input end of the OP07 operational amplifier is grounded after passing through a first resistor R1, one path of the inverting input end of the OP07 operational amplifier is grounded after passing through a second capacitor C2, the other path of the inverting input end of the OP07 operational amplifier is connected with one end of a fourth resistor R4, the other end of the fourth resistor R4 is divided into two paths, one path of the inverting input end of the OP07 operational amplifier is connected with the circuit input through a third resistor R3, and the other path of the inverting input end of the OP 8532 operational amplifier is grounded after passing through a first capacitor C1;
a sending control circuit (4) is arranged between the A/D conversion module (3) and the wireless sending module (5), and the sending control circuit (4) is used for controlling data communication between the A/D conversion module (3) and the wireless sending module (5).
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