An external counterpulsation apparatus

Abstract

The present application relates to the technical field of medical equipment, in particular to an external counterpulsation instrument. It comprises: an electrocardiogram detection module, an electroencephalogram detection module, a magnetic stimulation intelligent device module and a central processing unit module. The electrocardiogram detection module is used for measuring the electrocardiogram pulse signal of the human body to be measured; the electroencephalogram detection module is used for detecting the brain wave signal of the brain of the human body to be measured; the central processing unit module is used for receiving the electrocardiogram pulse signal and the brain wave signal, and comprehensively analyzing and processing the electrocardiogram pulse signal and the brain wave signal to obtain the frequency and timing information of the human heart contraction, and obtaining the corresponding magnetic stimulation trigger signal according to the frequency and timing information of the heart contraction; the magnetic stimulation intelligent device module is used for receiving the magnetic stimulation trigger signal and generating the corresponding magnetic stimulation signal under the triggering of the magnetic stimulation trigger signal, so as to perform magnetic stimulation processing on the human body to be measured. The present application stimulates the human muscle nerves and brain nerves by using the magnetic field, and achieves the same treatment effect as the conventional air pressure type external counterpulsation instrument.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of medical equipment, in particular to an external counterpulsation instrument. BACKGROUND

[0002] With the rapid development of science and technology, medical devices and rehabilitation equipment are rapidly updated, and no-harm treatment devices have emerged in an endless stream and developed rapidly. Among them, external counterpulsation instruments have made great progress, and due to their significant efficacy, they have increasingly attracted attention in the industry. Hospitals and rehabilitation institutions at home and abroad have begun to use external counterpulsation as an effective means of treating many kinds of ischemic diseases and for rehabilitation treatment. In existing external counterpulsation devices, most are based on the principle of air bag pressurization. Such devices have the problems of a relatively cumbersome air bag pressurization system, slow pressurization control speed, inconvenient air bag fixed installation, air bag easy to fall off and affect treatment efficacy, and high cost. These problems and deficiencies seriously restrict the promotion and practicality of air pressurization type external counterpulsation instruments. SUMMARY

[0003] The technical problem solved by the present application is that the air bag of the external counterpulsation device in the prior art is easy to fall off and affects the treatment efficacy.

[0004] An external counterpulsation instrument, comprising: an electrocardio detection module, an electroencephalo detection module, a magnetic stimulation intelligent device module, and a central processing unit module.

[0005] The electrocardio detection module is used to measure the electrocardio pulse signal of a human body to be measured; the electroencephalo detection module is used to detect the electroencephalo signal of the brain of the human body to be measured; the central processing unit module is used to receive the electrocardio pulse signal and the electroencephalo signal, and to comprehensively analyze and process the electrocardio pulse signal and the electroencephalo signal to obtain the frequency and timing information of the contraction of the heart of the human body, and to obtain the corresponding magnetic stimulation trigger signal according to the frequency and timing information of the contraction of the heart; and the magnetic stimulation intelligent device module is used to receive the magnetic stimulation trigger signal and to generate the corresponding magnetic stimulation signal under the triggering of the magnetic stimulation trigger signal, so as to perform magnetic stimulation processing on the human body to be measured.

[0006] In an embodiment, an intelligent display module is further included, which is used to display the running state information of each module and the human body detection result; and the human body detection result includes the electrocardio pulse signal and the electroencephalo signal.

[0007] In an embodiment, a data transmission module is further included, which is used to communicate with a remote monitoring comprehensive information cloud service platform, so as to send the running state information of each module and the human body detection result to the remote monitoring comprehensive information cloud service platform.

[0008] In an embodiment, a power supply module is further included, which is electrically connected with the central processor module to supply power to the electrocardiogram detection module, the electroencephalogram detection module, the magnetic stimulation intelligent device module, the central processor module, the intelligent display module, and the data transmission module.

[0009] In an embodiment, the magnetic stimulation intelligent device module has multiple preset working modes, including T1 mode, T2 mode, T3 mode, and T4 mode.

[0010] The magnetic stimulation trigger signal corresponding to the frequency and timing information of the heart contraction is obtained according to the frequency and timing information of the heart contraction, including obtaining a magnetic stimulation working mode corresponding to the frequency and timing information of the heart contraction, and different working modes emit different magnetic stimulation signals.

[0011] The frequency of the magnetic stimulation signal of the T1 mode is 30 HZ, the starting time is t1, and the ending time is t5.

[0012] The frequency of the magnetic stimulation signal of the T2 mode is 30 HZ, the starting time is t2, and the ending time is t5.

[0013] The frequency of the magnetic stimulation signal of the T3 mode is 30 HZ, the starting time is t3, and the ending time is t5.

[0014] The frequency of the magnetic stimulation signal of the T4 mode is 30 HZ, the starting time is t4, and the ending time is t5.

[0015] The t2 is later than the t1, the t3 is later than the t2, the t4 is later than the t3, and the t5 is later than the t4.

[0016] In an embodiment, the t1, t2, t3, t4, and t5 are obtained by the following method:

[0017] Ten complete consecutive QRS electrocardiogram pulse waveforms are sampled, and the starting time TSi of each of the 10 consecutive S-T segment waves is recorded, where i is 1, 2, 3, 4, 5, 6, 7, 8, 9, and 10, respectively.

[0018] The ending time TTi of the 10 consecutive S-T segment waves is recorded, the ending time T0Ti of the 10 consecutive T waves is recorded, the starting time TPi of the 10 consecutive P waves is recorded, and the peak time Ti of the 10 consecutive R waves is recorded.

[0019] The t1 is the peak time of the R wave before the magnetic stimulation excitation plus The t2 is the peak time of the R wave before the magnetic stimulation excitation plus

[0020] The t3 is the peak time of the R wave before the magnetic stimulation excitation plus The t4 is the peak time of the R wave before the magnetic stimulation excitation plus

[0021] t3 is the time of the R-wave peak before the magnetic stimulation is triggered;

[0022] t4 is the time of the R-wave peak before the magnetic stimulation is triggered;

[0023] t5 is the time of the R-wave peak before the magnetic stimulation is triggered, and u is an optimization parameter, the value of u being between 1.0 and 1.2.

[0024] In an embodiment, the magnetic stimulation intelligent device module comprises an intelligent control module, a magnetic pulse generation module, a brain magnetic stimulation front-end module, a limb magnetic stimulation front-end module, a hip magnetic stimulation front-end module, and an abdominal magnetic stimulation module.

[0025] The intelligent control module is configured to receive a magnetic stimulation trigger signal and control the magnetic pulse generation module to generate a magnetic stimulation signal. The brain magnetic stimulation front-end module, the limb magnetic stimulation front-end module, the hip magnetic stimulation front-end module, and the abdominal magnetic stimulation module are configured to output the magnetic stimulation signal to stimulate the corresponding parts of the human body.

[0026] In an embodiment, the central processor module is configured to receive the electrocardiogram pulse signal and the brain wave signal, and to comprehensively analyze and process the electrocardiogram pulse signal and the brain wave signal to obtain the frequency and timing information of the contraction of the human heart, and to obtain the corresponding magnetic stimulation trigger signal based on the frequency and timing information of the contraction of the human heart.

[0027] After receiving the electrocardiogram pulse signal, the central processor module predicts the beating period and characteristics of the heart. After receiving the brain wave signal, the central processor module intelligently processes and extracts multiple features of the brain wave signal based on a micro-particle swarm optimization algorithm, and solves the working mode of the magnetic stimulation based on a least square wave optimization algorithm.

[0028] In an embodiment, the data transmission module comprises a serial port, an Ethernet interface, a WiFi interface, and a GPRS interface.

[0029] In an embodiment, the intelligent display module comprises a display control module and a display module. The display control module is configured to control the display module to display the running state information of each module and the detection result of the human body.

[0030] ​​​The external counterpulsator according to the above embodiment includes: an electrocardiogram (ECG) detection module, an electroencephalogram (EEG) detection module, a magnetic stimulation intelligent device module, and a central processing unit (CPU) module. The ECG detection module measures the ECG pulse signal of the human body under test; the EEG detection module detects the brainwave signal of the human body under test; the CPU module receives the ECG pulse signal and the EEG signal, and performs comprehensive analysis and processing on these signals to obtain the frequency and timing information of the human heart contraction, and obtains the corresponding magnetic stimulation trigger signal based on the frequency and timing information of the heart contraction; the magnetic stimulation intelligent device module receives the magnetic stimulation trigger signal and generates a corresponding magnetic stimulation signal under its triggering to perform magnetic stimulation treatment on the human body under test. This embodiment utilizes magnetic field stimulation of human muscle nerves and brain nerves to achieve the same therapeutic effect as conventional pneumatic external counterpulsators, and compared with conventional pneumatic external counterpulsators, it has the advantages of being non-contact, having a fast response, being simple to control, having a simple and stable structure, and being low in cost. Attached Figure Description

[0031] Figure 1 This is a schematic diagram of the overall structure of the external counterpulsation device provided in the embodiments of this application;

[0032] Figure 2 This is a flowchart illustrating the signal control of an external counterpulsator provided in an embodiment of this application.

[0033] Figure 3 This is a schematic diagram of the magnetic stimulation signal waveform of the external counterpulsator according to an embodiment of this application;

[0034] Figure 4 This is a schematic diagram of the magnetic stimulation intelligent device module structure according to an embodiment of this application;

[0035] Figure 5 This is a schematic diagram of the central processing unit module structure according to an embodiment of this application;

[0036] Figure 6 This is a schematic diagram of the intelligent display module structure according to an embodiment of this application;

[0037] Figure 7 This is a schematic diagram of the data transmission module structure in an embodiment of this application. Detailed Implementation

[0038] The application will be described in further detail below with specific reference being made to the drawings. Like elements in different embodiments are denoted by like reference numerals. In the following description, numerous specific details are set forth in order to provide a more thorough understanding of the application. However, it will be apparent to one skilled in the art that the application can be practiced without the specific details given. In other instances, well-known features are not described in detail to avoid obscuring the application. Also, some of the details can be used only in some embodiments.

[0039] In addition, features, operations, or steps described in the specification can be combined in any suitable manner without departing from the scope of the application. Similarly, steps in the methods described do not have to be performed in the precise order described.

[0040] The prior art is all made of an air bag pressurization principle to make an external counterpulsation device, and such a device has an air bag pressurization system, which makes the device relatively bulky, the pressurization control speed is relatively slow, the air bag is fixedly installed, which is not convenient, and the air bag is easy to fall off, which affects the treatment effect. In order to solve these deficiencies, the application provides a new intelligent external counterpulsation device based on magnetic stimulation, which stimulates human muscle nerves and brain nerves by using a magnetic field, promotes the muscles of human limbs, hips and abdomen to contract in turn, and achieves the same treatment effect as a conventional air pressure type external counterpulsation device. Compared with the conventional air pressure type external counterpulsation device, the external counterpulsation device based on magnetic stimulation has the advantages of non-contact, can be used in various application scenarios, for example, a situation where the human body has a wound and it is inconvenient to contact the skin. In addition, the external counterpulsation device based on magnetic stimulation has the advantages of fast response, simple control, simple structure and low cost.

[0041] Embodiment one

[0042] The embodiment provides an external counterpulsation device, please refer to Figure 1 which comprises an electrocardiogram detection module 1, an electroencephalogram detection module 2, a magnetic stimulation intelligent device module 3 and a central processor module 4. Please refer to Figure 2, wherein the electrocardio detection module 1 is configured to measure the electrocardio impulse signal of the human body to be detected; the electroencephalogram detection module 2 is configured to detect the electroencephalogram signal of the brain of the human body to be detected; the central processing unit module 4 is configured to receive the electrocardio impulse signal and the electroencephalogram signal, and to comprehensively analyze and process the electrocardio impulse signal and the electroencephalogram signal to obtain the frequency and timing information of the heart contraction of the human body, and to obtain the corresponding magnetic stimulation trigger signal according to the frequency and timing information of the heart contraction; the magnetic stimulation intelligent device module 3 is configured to receive the magnetic stimulation trigger signal and to generate the corresponding magnetic stimulation signal under the triggering of the magnetic stimulation trigger signal, so as to perform the magnetic stimulation treatment on the human body to be detected.

[0043] In an embodiment, the external counterpulsation device further comprises an intelligent display module 5, which is configured to display the running state information of each module (i.e. the overall state information of the counterpulsation device) and the human body detection result; the human body detection result comprises the electrocardio impulse signal and the electroencephalogram signal.

[0044] In an embodiment, the external counterpulsation device further comprises a data transmission module 6, which is configured to communicate with a remote monitoring comprehensive information cloud service platform, so as to send the running state information of each module and the human body detection result to the remote monitoring comprehensive information cloud service platform. The remote monitoring comprehensive information cloud service platform is mainly configured to store the detection information and the running state information of the device, and to remotely monitor the running state of the external counterpulsation device, so as to facilitate the professional personnel to monitor the running state of the external counterpulsation device, and to monitor the human body detection result collected, and to store the detection result in the cloud, so as to facilitate the subsequent relevant personnel to view.

[0045] In an embodiment, the external counterpulsation device further comprises a power supply module 7, which is configured to be electrically connected with the central processing unit module 4 to supply power to the electrocardio detection module 1, the electroencephalogram detection module 2, the magnetic stimulation intelligent device module 3, the central processing unit module 4, the intelligent display module 5 and the data transmission module 6 through the central processing unit module 4.

[0046] In an embodiment, obtaining the corresponding magnetic stimulation trigger signal according to the frequency and timing information of the heart contraction comprises: obtaining the corresponding magnetic stimulation working mode according to the frequency and timing information of the heart contraction, different working modes being used to emit different magnetic stimulation signals, for example, detecting electrocardiogram by using the electrocardiogram detection module, extracting the initial time and end time of P wave, Q wave, the start time and end time of S wave segment and T wave segment, the start time and end time of U wave, using the frequency and start time information of each wave segment of electrocardiogram to determine the trigger time and trigger frequency of the magnetic stimulation coil; synchronously detecting electroencephalogram by using the electroencephalogram detection module, the electroencephalogram information being used to evaluate the possible cerebral vascular and brain nerve function adverse state, so as to adjust the magnetic field intensity, magnetic field generation time and magnetic field generation frequency of the magnetic stimulation coil. The magnetic stimulation intelligent device module 3 is pre-set with multiple working modes, which can select the corresponding working mode to perform magnetic stimulation treatment on the human body according to different human body detection results in the working state, for example, the pre-set working modes in the embodiment include T1 mode, T2 mode, T3 mode and T4 mode. For example, the magnetic stimulation intelligent device module 3 sequentially realizes effective stimulation on the limbs, hips, abdomen and brain of the human body according to the T1 mode, T2 mode, T3 mode and T4 mode, for example, the stimulation magnetic field intensity of the limbs of the human body is 1 Tesla, the stimulation magnetic field intensity of the hips is 1.5 Tesla, the stimulation magnetic field intensity of the magnetic stimulation front-end module of the abdomen is 0.8 Tesla, and the stimulation magnetic field intensity of the brain is 0.5 Tesla.

[0047] In the embodiment, the frequency of the magnetic stimulation signal of the T1 mode is 30 HZ, the start time is t1, and the end time is t5. The frequency of the magnetic stimulation signal of the T2 mode is 30 HZ, the start time is t2, and the end time is t5. The frequency of the magnetic stimulation signal of the T3 mode is 30 HZ, the start time is t3, and the end time is t5. The frequency of the magnetic stimulation signal of the T4 mode is 30 HZ, the start time is t4, and the end time is t5. Please refer to Figure 3 In the embodiment, t2 is later than t1, t3 is later than t2, t4 is later than t3, and t5 is later than t4. That is, the T1 mode, the T2 mode, the T3 mode and the T4 mode are sequentially turned on when the magnetic stimulation is performed.

[0048] The start times t1, t2, t3 and t4 and the end time t5 in the embodiment are obtained by the following method:

[0049] Sampling 10 complete continuous QRS electrocardiogram pulse waveform, electrocardiogram is composed of P wave, PR interval, QRS wave, S-T segment and T wave, P wave represents the situation of atrial, QRS represents the situation of ventricular, T wave represents the situation of ventricular negative. Record the starting time of each of the 10 consecutive S-T segment waves TS i, wherein i is respectively 1, 2, 3, 4, 5, 6, 7, 8, 9, 10; That is, the starting time of the first consecutive S-T segment wave is TS1, the starting time of the second consecutive S-T segment wave is TS2, and so on. Or record the ending time position of 10 consecutive S waves TS i. Record the ending time TT i of 10 consecutive S-T segment waves, for example, the ending time of the first consecutive S-T segment wave is TT1; Record the ending time T0Ti of 10 consecutive T waves, for example, the ending time of the first consecutive T wave is T0T1; Record the starting time TP i of 10 consecutive P waves; Record the peak time Ti of 10 consecutive R waves.

[0050] Wherein, t1 is the R wave peak time before the magnetic stimulation is triggered plus Time, that is, the R wave peak time is delayed Time, t2 is the R wave peak time before the magnetic stimulation is triggered plus Time; t3 is the R wave peak time before the magnetic stimulation is triggered plus Time; t4 is the R wave peak time before the magnetic stimulation is triggered plus Time; t5 is the R wave peak time before the magnetic stimulation is triggered plus Time, u is an optimization parameter, and the value of u is between 1.0 and 1.2. The starting time t1, t2, t3, t4 and the ending time t5 can be determined in turn by the above-mentioned manner, that is, the working start time and end time of T1 mode, T2 mode, T3 mode and T4 mode can be determined.

[0051] Please refer to Figure 4 The magnetic stimulation intelligent device module in the embodiment includes intelligent control module, magnetic pulse generation module, brain magnetic stimulation front-end module, four limbs magnetic stimulation front-end module, hip magnetic stimulation front-end module, abdominal magnetic stimulation module. As Figure 2The intelligent control module is configured to receive the magnetic stimulation trigger signal and control the magnetic pulse generation module to generate the magnetic stimulation signal. The brain magnetic stimulation front-end module, the limb magnetic stimulation front-end module, the hip magnetic stimulation front-end module and the abdominal magnetic stimulation module are configured to output the magnetic stimulation signal to stimulate the corresponding part of the human body after receiving the magnetic stimulation signal. In another embodiment, the brain magnetic stimulation front-end module, the limb magnetic stimulation front-end module, the hip magnetic stimulation front-end module and the abdominal magnetic stimulation module are further configured to perform corresponding processing on the magnetic stimulation signal after receiving the magnetic stimulation signal generated by the magnetic pulse generation module, for example, size transformation of the magnetic stimulation signal.

[0052] In one embodiment, the central processor module 4 is configured to receive the electrocardiogram pulse signal and the brain wave signal, and perform comprehensive analysis and processing on the electrocardiogram pulse signal and the brain wave signal to obtain the frequency and timing information of the heart contraction of the human body, and obtain the corresponding magnetic stimulation trigger signal according to the frequency and timing information of the heart contraction. The central processor module receives the electrocardiogram pulse signal, processes the electrocardiogram pulse signal based on a dynamic time sequence model intelligent algorithm to predict the beating period and characteristics of the heart, receives the brain wave signal, and performs intelligent processing and multi-feature extraction on the brain wave signal based on a particle swarm optimization algorithm, and solves and optimizes the working mode of the magnetic stimulation based on a least square wave optimization algorithm. The specific method is as follows: the least square algorithm is used to perform classical least square solution on the electrocardiogram feature parameters and the brain wave feature parameters, to solve the least square optimization solution of the ratio of the brain disturbance discharge intensity to the average brain discharge intensity, the ratio of the brain disturbance discharge area aggregation degree to the conventional brain discharge area aggregation degree, when the optimal solution is between 1.0 and 2.0, the optimization coefficient u is 1; when the optimal solution is between 2.0 and 3.2, the optimization coefficient u is a random value between 1.0 and 1.2, and when the optimal solution takes other values, u is 1.2. The dynamic time sequence model is based on the analysis of data samples in a certain period of time, extracts the period, frequency, amplitude and oscillation characteristics followed by the data samples, and predicts the data value with a certain accuracy at a future time based on the extracted characteristic values, which is commonly used for data prediction of periodic or quasi-periodic signals. The electrocardiogram pulse signal is a quasi-periodic signal, and the dynamic time sequence model intelligent algorithm is used to extract the period of the electrocardiogram signal, the length and starting time characteristics of each wave band of the electrocardiogram signal, and predict the starting and ending time of each wave band of the electrocardiogram in the next electrocardiogram period based on the processed electrocardiogram feature signal, thereby guiding the magnetic stimulation module to accurately excite the corresponding magnetic field mode.

[0053] In one embodiment, as Figure 5The central processor module 4 comprises an electrocardio processing function module, an electroencephalogram processing function module, a magnetic stimulation mode optimization module, an intelligent display function module, a data transmission control function module, and a comprehensive management function module. The electrocardio processing function module is mainly used for processing the collected electrocardio pulse signals, the electroencephalogram processing function module is mainly used for processing the electroencephalogram signals, and the magnetic stimulation mode optimization module is mainly used for processing the electrocardio pulse signals and the electroencephalogram signals to obtain the corresponding magnetic stimulation mode. The intelligent display function module is mainly used for processing the detection result data and the system running state data, and then outputting the data to the intelligent display module 5 for display. The data transmission control function module is mainly used for controlling the data transmission module 6 to send and receive data. The comprehensive management function module is used for overall management, processing, and allocation of signals.

[0054] In an embodiment, as shown in Figure 7 The data transmission module 6 comprises a serial port, an Ethernet interface, a WiFi interface, a GPRS (General packet radio service) interface, or a wireless communication module, and realizes data communication between the external counterpulsation instrument and the remote monitoring comprehensive information cloud service platform or users through a plurality of interfaces or wireless transmission modules. In a preferred embodiment, the WiFi interface selects an ESP8266 module chip, the GPRS interface selects a G200 module, and the communication processor module selects an AT89C52 single-chip microcomputer.

[0055] In an embodiment, as shown in Figure 6 The intelligent display module 5 comprises a display control module and a display module. The display control module comprises a CPLD display control chip, a first data display temporary storage module, and a second data display temporary storage module. The display control module is used for controlling the display module to display the running state information of each module and the human body detection result. The display module is a display screen. In the present embodiment, the display module selects a MicroXin Arduino LCD module 2.8-inch liquid crystal display module HX8347D. In the present embodiment, the CPLD display control chip selects an XC95288XL chip. The first data display temporary storage module and the second data display temporary storage module are used for temporarily storing the data to be displayed. In the present embodiment, the first data display temporary storage module and the second data display temporary storage module both select AT24C256N-10SU-1.8 of TAIYO YUDEN TECHNOLOGY.

[0056] The external counterpulsation instrument of the application realizes online and real-time measurement of the ECG and brain of the human body to be treated, processes the ECG pulse signal based on a dynamic time sequence intelligent model algorithm, predicts the beating period and characteristics of the heart, intelligently processes the EEG signal and extracts multiple features based on a particle swarm optimization algorithm, solves the optimization mode of magnetic stimulation based on a least square wave optimization algorithm, drives the magnetic pulse generation module to generate magnetic pulses with corresponding amplitude, waveform and frequency based on the preset magnetic stimulation mode, and stimulates the limbs, hips, abdomen and brain according to the preset trigger mode, so that the limbs, hips and abdomen sequentially generate muscle contractions, and the cerebral cortex generates corresponding electric pulse feedback, realizing external counterpulsation treatment. The external counterpulsation instrument realizes data communication with a remote monitoring comprehensive information cloud service platform or users by using serial port, Ethernet interface, WiFi interface and GPRS interface functions, realizes real-time sharing, updating and interaction of data, and enables the remote monitoring comprehensive information cloud service platform to remotely guide and intervene the external counterpulsation instrument.

[0057] Those skilled in the art can understand that all or part of the functions of the various methods in the above embodiments can be realized by hardware or by a computer program. When all or part of the functions in the above embodiments are realized by a computer program, the program can be stored in a computer readable storage medium, which can include read-only memory, random access memory, magnetic disk, optical disk, hard disk, etc. The above functions are realized by executing the program by a computer. For example, the program is stored in the memory of the device, and when the program in the memory is executed by the processor, the above functions are realized. In addition, when all or part of the functions in the above embodiments are realized by a computer program, the program can also be stored in a server, another computer, a storage medium such as a disk, an optical disk, a flash disk or a mobile hard disk, and downloaded or copied into the memory of the local device, or the system of the local device is updated, and when the program in the memory is executed by the processor, the above functions are realized.

[0058] The above application of specific examples is used to illustrate the application and is only used to help understand the application, and does not limit the application. Those skilled in the art can make several simple deductions, deformations or substitutions according to the idea of the application.

Claims

1. An external counterpulsation device, characterized in that, include: ECG detection module, EEG detection module, magnetic stimulation intelligent device module, central processing unit module; The electrocardiogram (ECG) detection module is used to measure the ECG pulse signal of the human body being tested. The EEG detection module is used to detect the brainwave signals of the human brain under test; the central processing unit module is used to receive the ECG pulse signals and EEG signals, and to perform comprehensive analysis and processing on the ECG pulse signals and EEG signals to obtain the frequency and timing information of human heart contraction, and to obtain the corresponding magnetic stimulation trigger signal based on the frequency and timing information of heart contraction. Specifically, after receiving the ECG pulse signals, the central processing unit module predicts the heart's beating cycle and beating characteristics; after receiving the EEG signals, the central processing unit module performs intelligent processing and multi-feature extraction on the EEG signals based on the particle swarm optimization algorithm, and calculates the working mode of magnetic stimulation based on the least squares wavelet optimization algorithm. Different magnetic stimulation trigger signals are emitted under different working modes; the magnetic stimulation intelligent device module is used to receive the magnetic stimulation trigger signal and generate the corresponding magnetic stimulation signal under its trigger to perform magnetic stimulation processing on the human body under test.

2. The external counterpulsation device as described in claim 1, characterized in that, It also includes an intelligent display module, which is used to display the operating status information of each module and the human body detection results; the human body detection results include the electrocardiogram pulse signal and the electroencephalogram signal.

3. The external counterpulsation device as described in claim 2, characterized in that, It also includes a data transmission module, which is used to communicate with the remote monitoring integrated information cloud service platform to send the operating status information of each module and the human body detection results to the remote monitoring integrated information cloud service platform.

4. The external counterpulsation device as described in claim 3, characterized in that, It also includes a power supply module, which is electrically connected to the central processing unit module to supply power to the electrocardiogram detection module, electroencephalogram detection module, magnetic stimulation intelligent device module, central processing unit module, intelligent display module and data transmission module.

5. The external counterpulsation device as described in claim 3, characterized in that, The magnetic stimulation intelligent device module has multiple preset working modes, including T1 mode, T2 mode, T3 mode and T4 mode; The step of obtaining the corresponding magnetic stimulation trigger signal based on the frequency and timing information of cardiac contraction includes: obtaining the corresponding magnetic stimulation working mode based on the frequency and timing information of cardiac contraction; The magnetic stimulation signal in the T1 mode has a frequency of 30 Hz, a start time of t1, and an end time of t5. The magnetic stimulation signal in the T2 mode has a frequency of 30 Hz, a start time of t2, and an end time of t5. The frequency of the magnetic stimulation signal in the T3 mode is 30 Hz, with a start time of t3 and an end time of t5. The frequency of the magnetic stimulation signal in the T4 mode is 30 Hz, with a start time of t4 and an end time of t5. Wherein, t2 is later than t1, t3 is later than t2, t4 is later than t3, and t5 is later than t4.

6. The external counterpulsation device as described in claim 5, characterized in that, The times t1, t2, t3, t4, and t5 are obtained through the following method: Sample 10 complete and continuous QRS electrocardiogram pulse waveforms and record the start time TSi of each of these 10 continuous ST segment waves, where i takes the values ​​1, 2, 3, 4, 5, 6, 7, 8, 9, 10 respectively. Record the end time TTi of 10 consecutive ST segment waves; record the end time T0Ti of 10 consecutive T waves; record the start time TPi of 10 consecutive P waves; record the peak time Ti of 10 consecutive R waves. Where t1 is the time when the R-wave peak is added before magnetic stimulation. time; t2 is the time when the peak value of the R wave is added before magnetic stimulation. time; t3 is the time when the peak of the R wave is added before magnetic stimulation. time; t4 is the time when the peak of the R wave is added before magnetic stimulation. time; t5 is the value added at the peak of the R-wave before magnetic stimulation. At time t, u is the optimization parameter, and the value of u is between 1.0 and 1.

2.

7. The external counterpulsation device as described in claim 5, characterized in that, The magnetic stimulation intelligent device module includes an intelligent control module, a magnetic pulse generation module, a brain magnetic stimulation front-end module, a limb magnetic stimulation front-end module, a buttock magnetic stimulation front-end module, and an abdominal magnetic stimulation module. The intelligent control module is used to receive magnetic stimulation trigger signals and control the magnetic pulse generation module to generate magnetic stimulation signals; the brain magnetic stimulation front-end module, limb magnetic stimulation front-end module, buttock magnetic stimulation front-end module, and abdominal magnetic stimulation module are used to output the magnetic stimulation signals to stimulate the corresponding parts of the human body.

8. The external counterpulsation device as described in claim 3, characterized in that, The data transmission module includes a serial port, an Ethernet interface, a WiFi interface, and a GPRS interface.

9. The external counterpulsation device as described in claim 2, characterized in that, The intelligent display module includes a display control module and a display module. The display control module is used to control the display module to display the operating status information of each module and the human body detection results.

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