阅读说明：本技术 一种人体脉搏波的监测系统及方法 (Monitoring system and method for human body pulse wave ) 是由 周小舟 于 2021-09-02 设计创作，主要内容包括：本发明公开了一种人体脉搏波的监测系统及其方法,包括依次电连接的信号采集模块、消噪模块、信号处理模块、单片机模块、显示模块以及存储模块,通过信号采集模块进行脉搏波信号采集,采集的电压信号经过消噪模块进行数字滤波消噪,将进行消噪的信号经过信号处理模块内的放大电路进行放大与整平,单片机模块实现对数字信号的处理,通过显示模块显示脉搏波动的频率显示信息。本发明将脉搏波的监测分为信号采集、信号消噪、信号处理、单片机处理、数码显示、数据备份六个部分进行,经过数字滤波消噪处理再放大,采集信息准确。(The invention discloses a monitoring system and a monitoring method for human body pulse waves, and the monitoring system comprises a signal acquisition module, a noise elimination module, a signal processing module, a single chip microcomputer module, a display module and a storage module which are sequentially and electrically connected, wherein the signal acquisition module is used for acquiring pulse wave signals, the acquired voltage signals are digitally filtered and denoised by the noise elimination module, the denoised signals are amplified and leveled by an amplifying circuit in the signal processing module, the single chip microcomputer module is used for processing the digital signals, and the display module is used for displaying pulse wave frequency display information. The invention divides the monitoring of the pulse wave into six parts of signal acquisition, signal noise elimination, signal processing, single chip processing, digital display and data backup, and the information acquisition is accurate after the digital filtering noise elimination and amplification.)

1. A monitoring system for human body pulse waves is characterized by comprising a signal acquisition module, a noise elimination module, a signal processing module, a single chip microcomputer module, a display module and a storage module which are electrically connected in sequence;

the signal acquisition module is used for acquiring pulse wave voltage signals of a human body; the noise elimination module is used for carrying out noise elimination processing on the acquired signals; the signal processing module is used for carrying out signal amplification pretreatment on the signals subjected to denoising treatment and shaping the signals into digital signals which can be recognized by the singlechip module; the single chip microcomputer module processes the digital signal to obtain pulse fluctuation frequency; the display module visually displays the pulse fluctuation frequency through a display circuit; the storage module is used for periodically storing and recording the pulse fluctuation frequency of each time.

2. The system for monitoring human body pulse waves according to claim 1, wherein said signal acquisition module is a photoelectric sensor comprising an infrared emitting unit and an infrared receiving unit.

3. The system for monitoring human body pulse waves according to claim 1, wherein the single chip microcomputer module is any one of an AVR single chip microcomputer, a Lingyang single chip microcomputer and a 51 single chip microcomputer, and the single chip microcomputer is in an interrupt mode.

4. The system for monitoring human body pulse waves according to claim 1, wherein the display module is a 4-bit LED nixie tube for dynamic scanning display, thereby facilitating accurate data reading.

5. The monitoring method applied to the human body pulse wave monitoring system of any one of claims 1 to 4 is characterized by comprising the following steps:

the method comprises the following steps: pulse wave signal acquisition is carried out through a signal acquisition module, namely, a finger is placed between an infrared transmitter and a receiver, and signal acquisition and output are carried out through finger light transmittance;

step two: the voltage signal acquired in the first step is subjected to digital filtering and noise elimination through a noise elimination module, namely the noise elimination effect is measured by judging the signal-to-noise ratio and the mean square error of the noise elimination signal and the original signal, and the higher the signal-to-noise ratio and the lower the mean square error represent the better the noise elimination effect;

step three: amplifying the signal subjected to noise elimination by an amplifying circuit in the signal processing module, controlling the amplification factor to be 100-150 times, and shaping by a shaping circuit in the signal processing module so that the singlechip can read the signal;

step four: the single chip microcomputer module is used for processing digital signals, namely pulse levels from the signal processing module are input into the single chip microcomputer to obtain pulse fluctuation frequencies recognizable by the display module;

step five: the display module is used for displaying the frequency display information of the pulse fluctuation, namely the pulse times are displayed through 4-bit common-cathode LED numbers, and the storage module is used for storing and backing up the frequency display information.

6. The system and method for monitoring human body pulse waves according to claim 1, wherein the specific collection method of the first step is as follows: the finger has sheltered from the infrared light of infrared emission diode transmission, but because there is dark current in the infrared receiver, can cause output voltage slightly low, when having the pulse of beating, the blood pulse makes finger light transmissivity worsen, and the dark current in the infrared receiving triode reduces, and output voltage rises.

7. The system and method for monitoring human body pulse waves according to claim 1, wherein the single-chip microcomputer module is set to a negative jump interruption triggering mode in the fourth step, so that the single-chip microcomputer module is triggered to generate interruption and count time each time when a pulse falling edge arrives, and then one pulse is added up to obtain a one-minute pulse through the timer and the counter of the single-chip microcomputer module.

8. The system and method for monitoring human body pulse waves according to claim 1, wherein in the second step, the pulse signals are taken as original signals, the signals are decomposed in multiple layers by wavelet function, wherein the number of decomposed layers is not less than 5, then after wavelet coefficients are obtained, soft threshold values are determined by rigrsure rules, and the pulse signals are denoised by soft threshold value method.

Technical Field

The invention relates to the technical field of human body pulse wave monitoring, in particular to a human body pulse wave monitoring system and a human body pulse wave monitoring method.

Background

The pulse is one of the physiological signals of the human body, and the pulse contains rich physiological or pathological information of the human body. Traditional Chinese medicine has a long history in China. The most important part of the traditional Chinese medicine is pulse diagnosis, which is a very effective diagnosis technology after long-term practice and accumulation, wherein the pulse diagnosis is to know the qi and blood running state of a human body by checking and analyzing the change of pulse conditions (the image and the dynamic state of pulse), the contraction and the relaxation of the heart are carried out in cycles, the blood flow in the aorta in the form of waves is transmitted from the root of the aorta along the arterial tube, and the waves are pulse waves.

And because the pulse wave signal is a non-physiological signal of a low-frequency weak signal, the existing equipment has low-frequency weak signal interference under various strong noise backgrounds when measurement is carried out, so that the acquisition requirement is difficult to meet, and the reliability of the system is poor.

Therefore, a monitoring system and a monitoring method for human body pulse waves are provided to solve the above problems.

Disclosure of Invention

The invention aims to solve the defects in the prior art and provides a system and a method for monitoring human body pulse waves.

In order to achieve the purpose, the invention adopts the following technical scheme:

a monitoring system for human body pulse waves comprises a signal acquisition module, a noise elimination module, a signal processing module, a single chip microcomputer module, a display module and a storage module which are electrically connected in sequence;

the signal acquisition module is used for acquiring pulse wave voltage signals of a human body; the noise elimination module is used for carrying out noise elimination processing on the acquired signals; the signal processing module is used for carrying out signal amplification pretreatment on the signals subjected to denoising treatment and shaping the signals into digital signals which can be recognized by the singlechip module; the single chip microcomputer module processes the digital signal to obtain pulse fluctuation frequency; the display module visually displays the pulse fluctuation frequency through a display circuit; the storage module is used for periodically storing and recording the pulse fluctuation frequency of each time.

Preferably, the signal acquisition module is a photoelectric sensor and comprises an infrared emission unit and an infrared receiving unit.

Preferably, the single chip microcomputer module adopts any one of an AVR single chip microcomputer, a Lingyang single chip microcomputer and a 51 single chip microcomputer, and the working mode of the single chip microcomputer is an interrupt mode.

Preferably, the display module is a 4-bit LED nixie tube dynamic scanning display, so that data can be read out accurately.

The monitoring method applied to the monitoring system of the human body pulse wave is characterized by comprising the following steps:

the method comprises the following steps: pulse wave signal acquisition is carried out through a signal acquisition module, namely, a finger is placed between an infrared transmitter and a receiver, and signal acquisition and output are carried out through finger light transmittance;

step two: the voltage signal acquired in the first step is subjected to digital filtering and noise elimination through a noise elimination module, namely the noise elimination effect is measured by judging the signal-to-noise ratio and the mean square error of the noise elimination signal and the original signal, and the higher the signal-to-noise ratio and the lower the mean square error represent the better the noise elimination effect;

step three: amplifying the signal subjected to noise elimination by an amplifying circuit in the signal processing module, controlling the amplification factor to be 100-150 times, and shaping by a shaping circuit in the signal processing module so that the singlechip can read the signal;

step four: the single chip microcomputer module is used for processing digital signals, namely pulse levels from the signal processing module are input into the single chip microcomputer to obtain pulse fluctuation frequencies recognizable by the display module;

step five: the display module is used for displaying the frequency display information of the pulse fluctuation, namely the pulse times are displayed through 4-bit common-cathode LED numbers, and the storage module is used for storing and backing up the frequency display information.

Preferably, the specific collection method in the first step is as follows: the finger has sheltered from the infrared light of infrared emission diode transmission, but because there is dark current in the infrared receiver, can cause output voltage slightly low, when having the pulse of beating, the blood pulse makes finger light transmissivity worsen, and the dark current in the infrared receiving triode reduces, and output voltage rises.

Preferably, in the fourth step, the single chip microcomputer module is set to be in a negative jump interruption triggering mode, so that the single chip microcomputer module is triggered to generate interruption and time when the pulse falling edge arrives each time, the number of pulses of one pulse is increased by one, and the pulse number of one minute is obtained through a timer and a counter of the single chip microcomputer module.

Preferably, in the second step, the pulse signal is taken as an original signal, multi-layer decomposition processing is performed on the signal through a wavelet function, wherein the number of decomposition layers is not less than 5, then after a wavelet coefficient is obtained, a soft threshold is determined through a rigrsure rule, and pulse signal denoising is performed through a soft threshold method.

Compared with the prior art, the invention has the beneficial effects that:

1. the invention divides the monitoring of the pulse wave into six parts of signal acquisition, signal noise elimination, signal processing, single chip processing, digital display and data backup, and the pulse wave is subjected to digital filtering noise elimination and then amplified, so that the 4-bit common cathode LED digital display pulse frequency times are more accurate.

2. According to the invention, through infrared receiving type monitoring, the overall reaction speed of the system is higher due to higher sensitivity, so that the real-time monitoring effect is more accurately achieved.

Drawings

FIG. 1 is a schematic diagram of a monitoring system for human body pulse waves according to the present invention;

fig. 2 is a simplified flow chart of a method for monitoring human body pulse waves according to the present invention.

Detailed Description

The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments.

Referring to fig. 1-2, a monitoring system for human body pulse waves comprises a signal acquisition module, a noise elimination module, a signal processing module, a single chip module, a display module and a storage module which are electrically connected in sequence, wherein the signal acquisition module is used for acquiring pulse wave voltage signals of a human body; the noise elimination module is used for carrying out noise elimination processing on the acquired signals; the signal processing module is used for carrying out signal amplification pretreatment on the signals subjected to denoising treatment and shaping the signals into digital signals which can be recognized by the singlechip module; the singlechip module processes the digital signal to obtain pulse fluctuation frequency; the display module visually displays the pulse fluctuation frequency through the display circuit; the storage module is used for periodically storing and recording the pulse fluctuation frequency of each time.

It should be specially explained that the signal acquisition module is a photoelectric sensor, and includes an infrared emission unit and an infrared receiving unit, the single chip module adopts any one of an AVR single chip, a lingyang single chip and a 51 single chip, and the working mode of the single chip is an interrupt mode, and the display module is a 4-bit LED nixie tube dynamic scanning display, so as to be convenient for accurately reading data.

The monitoring method applied to the monitoring system of the human body pulse wave specifically comprises the following steps:

the method comprises the following steps: carry out pulse wave signal acquisition through signal acquisition module, through placing the finger between infrared emission and receiver promptly, carry out signal acquisition output through the finger light transmissivity, and specific collection method is: the finger blocks the infrared light emitted by the infrared emitting diode, but because the infrared receiver has dark current, the output voltage is slightly low, when there is beat pulse, the blood pulse makes the finger light transmission worse, the dark current in the infrared receiving triode is reduced, the output voltage is increased

Step two: the voltage signals collected in the first step are subjected to digital filtering denoising through a denoising module, namely the denoising effect is measured by judging the signal-to-noise ratio and the mean square error of the denoising signals and the original signals, the higher the signal-to-noise ratio and the lower the mean square error represent the better the denoising effect, the pulse signals are taken as the original signals in the second step, the signals are subjected to multilayer decomposition processing through a wavelet function, the number of decomposition layers is not less than 5, then after wavelet coefficients are obtained, soft thresholds are determined through a rigersure rule, and pulse signal denoising is performed through a soft threshold method.

Step three: amplifying the signal subjected to noise elimination by an amplifying circuit in a signal processing module, controlling the amplification factor to be 100-150 times, and shaping by a shaping circuit in the signal processing module so that the singlechip can read the signal;

step four: the single chip microcomputer module is used for processing digital signals, namely pulse levels from the signal processing module are input into the single chip microcomputer to obtain pulse fluctuation frequencies recognizable by the display module, and it is specially noted that the single chip microcomputer module is set to be in a negative jump interruption triggering mode, so that the single chip microcomputer module is triggered to generate interruption and time when a pulse falling edge arrives each time, the number of pulse times is increased by one, and the pulse number of one minute is obtained through a timer and a counter of the single chip microcomputer module.

Step five: the display module is used for displaying the frequency display information of the pulse fluctuation, namely the pulse times are displayed through 4-bit common-cathode LED numbers, and the storage module is used for storing and backing up the frequency display information.

In the invention, the monitoring of the pulse wave is divided into six parts of signal acquisition, signal de-noising, signal processing, single chip microcomputer processing, digital display and data backup, and the pulse wave is subjected to digital filtering, de-noising and amplification, so that the number of times of pulse frequency digitally displayed by the 4-bit common cathode LED is more accurate, and the overall reaction speed of the system is higher due to higher sensitivity through infrared receiving type monitoring, thereby more accurately achieving the real-time monitoring effect.

Those skilled in the art will appreciate that the modules or steps of the present application described above can be implemented using a general purpose computing device, they can be centralized on a single computing device or distributed across a network of multiple computing devices, and optionally they can be implemented using program code executable by a computing device, such that they can be stored in a memory device and executed by a computing device, or they can be separately fabricated into various integrated circuit modules, or multiple modules or steps thereof can be fabricated into a single integrated circuit module. Thus, the present application is not limited to any specific combination of hardware and software.

The above description is only for the preferred embodiment of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art should be considered to be within the technical scope of the present invention, and the technical solutions and the inventive concepts thereof according to the present invention should be equivalent or changed within the scope of the present invention.