CN107595277A - An electrocardiogram monitoring system and monitoring method with motion recognition and positioning functions - Google Patents

Abstract

The invention relates to an electrocardio monitoring system with motion recognition and positioning functions and a monitoring method, wherein a dynamic electrocardio monitoring waistband is worn on the waist and abdomen of a human body and is used for acquiring, storing and sending electrocardiosignals, motion and position information of the human body; the electrocardio monitoring platform comprises a mobile phone App electrocardio monitoring platform and a PC end electrocardio monitoring platform; the mobile phone App electrocardio monitoring platform receives electrocardiosignals, motion and position information sent by the dynamic electrocardio monitoring beam belt and sends the received information to the cloud server; the PC end electrocardio monitoring platform obtains electrocardiosignals, motion and position information from a database of a cloud server, denoises and displays the electrocardiosignals, carries out motion recognition on the motion information through a motion recognition algorithm, and displays the position information in real time through establishing a connection with a Baidu map API. The invention is beneficial to monitoring under the daily motion state of the user, is more portable and can realize the real-time remote monitoring of the electrocardiosignals.

Description

An electrocardiogram monitoring system and monitoring method with motion recognition and positioning functions

technical field

The invention relates to the technical field of signal and information processing, in particular to an electrocardiogram monitoring system and a monitoring method with motion recognition and positioning functions.

Background technique

In recent years, cardiovascular disease has become the number one killer of human beings, seriously threatening human life and health, and has the characteristics of suddenness and latentness. According to scientific research, patients suffering from cardiovascular disease will have abnormal changes in the ECG waveform within a few minutes before the onset of the disease. Therefore, real-time monitoring of human ECG signals is of great significance to the prevention and diagnosis of cardiovascular diseases.

In the research on the design of the ECG monitoring system, the denoising of the ECG signal is particularly important under the condition that the normal collection of the ECG signal can be guaranteed. The ECG signal is a weak bioelectrical signal, which has the characteristics of weak signal and high impedance. It is mixed with various noises, such as myoelectric interference noise, motion noise, electrode contact noise, 50Hz power frequency noise, etc. Both conventional electrocardiograph and Holter can be realized.

However, conventional electrocardiographs are large in size and poor in portability, and are only suitable for monitoring users' ECG signals in hospitals. In the traditional Holter ECG monitoring, when the user is in a state of exercise, the ECG waveform will become difficult to recognize under the interference of motion noise, and the doctor can only judge that the ECG waveform does not have medical reference value. Through clinical Experience judges that the user may be moving or stationary at this time. This also brings inconvenience to the monitoring and diagnosis of doctors. Moreover, Holter cannot realize remote ECG data transmission, which is not conducive to real-time interaction between doctors and users.

In view of this, it is necessary to propose a system and device that facilitates real-time interaction between the user and the doctor and monitors the user's daily exercise and health status.

Contents of the invention

The purpose of the present invention is to provide an electrocardiogram monitoring system and monitoring method with functions of motion recognition and positioning. In the present invention, the human body ECG signal monitoring system is used as the main body. On the basis of real-time monitoring of the human body's ECG waveform signal, information such as the user's Beidou latitude and longitude position information, altitude information, real-time information, and the number of current monitoring satellites are collected at the same time. In the event of an emergency, the user's location can be found immediately for positioning and rescue. At the same time, the system also uses the three-axis digital acceleration sensor to collect the user's motion information.

The technical solution adopted by the present invention: the present invention provides an ECG monitoring system with motion recognition and positioning functions. The system is composed of a dynamic ECG monitoring belt, a cloud server and an ECG monitoring platform. The dynamic ECG monitoring beam The belt is worn on the waist and abdomen of the human body, and is used to collect, store, and send the ECG signal, motion and position information of the human body;

The ECG monitoring platform includes the mobile phone App ECG monitoring platform and the PC terminal ECG monitoring platform; among them, the mobile phone APP ECG monitoring platform receives the ECG signal, movement and location information sent by the dynamic ECG monitoring belt, and will receive The information is sent to the cloud server;

The PC-side ECG monitoring platform obtains ECG signals, motion and location information from the database of the cloud server. Among them, the ECG signals are denoised and displayed, and the motion information is recognized by motion recognition algorithms. Establish contact and display location information in real time.

Further, the dynamic ECG monitoring belt includes an ECG conditioning module, a Beidou real-time positioning module, an acceleration sensor module, an SD card storage module, a wireless Bluetooth module and a microcontroller module;

The ECG conditioning module acquires the ECG signal of the human body through the connection of the electrode sheet and the lead wire, and amplifies and filters the acquired information through the conditioning circuit; the Beidou real-time positioning module is used to obtain the current position information; the acceleration sensor module is used for Obtain current exercise information;

The microcontroller module is used to collect the information obtained from the ECG conditioning module, the Beidou real-time positioning module and the acceleration sensor module, process and package the collected information, and send the information to the mobile APP ECG monitoring platform through the wireless Bluetooth module , and display the ECG waveform in real time on the mobile APP ECG monitoring platform; at the same time, after the microcontroller module processes and packs the information, it stores the processed information through the SD card storage module.

Further, the microcontroller module is an STM32 main control chip.

The present invention also provides a monitoring method of an ECG monitoring system utilizing motion recognition and positioning functions,

(1), attach two electrode sheets to the measurement position on the surface of the human body, connect the output ports of the two lead wires connected with the electrode sheets to the acquisition port of the ECG conditioning module in the dynamic ECG monitoring belt, And collect the ECG signal of the human body, and amplify and filter the collected weak ECG signal through the conditioning circuit;

(2), use the acceleration sensor module to collect the motion information of the current user; use the Beidou real-time positioning module to collect the location information of the current user;

(3), the microcontroller module processes and packs the ECG signals, motion and position information collected in steps (1) and (2), stores them through the SD card storage module, and sends all the information through the wireless bluetooth module To the mobile APP ECG monitoring platform;

(4), after the mobile phone APP ECG monitoring platform receives the ECG signal, motion and location information, it first initializes the mobile phone APP software and creates a UI thread. At this time, the UI thread controls the occurrence of three types of events respectively. Detect whether there is a button event trigger, if there is a button event, execute the corresponding button event; second, detect whether there is Bluetooth device interaction, if there is interaction, perform data transmission, at this time use the drawing control to draw the ECG waveform Draw and display on the main interface of the mobile APP software; third, after receiving the data, send the data to the cloud server;

(5) The PC-side ECG monitoring platform connects to the database of the cloud server and reads the data. First, the received ECG data is passed through a low-pass filter to eliminate the high-frequency noise represented by myoelectric interference, and then the low-pass The ECG data of the pass filter passes through a third-order high-pass filter. Here, the low cut-off frequency is set to 0.5Hz to filter out low-frequency noise such as baseline drift and DC offset potential. For the ECG data after low-pass and high-pass filtering Carry out a 50Hz band-stop filter to eliminate 50Hz power frequency noise, use the waveform chart control to draw the waveform of the filtered ECG data, and use the mathematical morphology method to calculate the interval between R waves, thereby calculating the user current heart rate;

The PC-side ECG monitoring platform uses a motion recognition algorithm to perform motion recognition on the motion information collected by the acceleration sensor module; the PC-side ECG monitoring platform establishes contact with the Baidu map API, and combines the Beidou real-time positioning module with Baidu map to perform real-time location information. show.

Compared with the prior art, the present invention has the beneficial effects that: the dynamic ECG monitoring belt of the present invention adopts embedded development technology to collect and process ECG information, motion information and position information; The technology transmits the data to the mobile phone software, and utilizes the interaction between the software system and the cloud database to finally realize the purpose of remote monitoring; the software system used in the present invention is designed and developed based on LabWindows and Android, and the motion recognition algorithm is used in the software system to The user's exercise state is identified and displayed, which provides more accurate and reliable information for the doctor, is beneficial to the doctor's monitoring and judgment, and provides a more reliable guarantee for the user's health; at the same time, the software system adopted in the present invention also passes The mathematical morphological method calculates the user's heart rate, which is more beneficial for doctors and users to understand their own health conditions; the present invention is designed to be a wearable waist belt through technological processing. It is smaller and more portable than the others, with low cost, easy operation and strong versatility, and is more suitable for subsequent optimization and development; the invention is beneficial to the monitoring of the user’s daily exercise state, and is more portable; it has been verified by experiments that the system can realize the The real-time remote monitoring of electrical signals and the collected ECG waveforms have good medical reference value and can provide certain technical support for future telemedicine of cardiovascular diseases.

Description of drawings

Fig. 1 is the test framework schematic diagram of central electricity monitoring system of the present invention;

Fig. 2 is the information processing flowchart of mobile phone App ECG monitoring platform in the monitoring method of the present invention;

Fig. 3 is a flow chart of information processing of the ECG monitoring platform at the PC end in the monitoring method of the present invention.

detailed description

The technical solutions of the present invention will be clearly and completely described below in conjunction with the accompanying drawings. Apparently, the described embodiments are some of the embodiments of the present invention, but not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

As shown in Figure 1, the present invention provides a kind of ECG monitoring system with motion identification and positioning function, and this system is made up of dynamic ECG monitoring belt 1, cloud server 2 and ECG monitoring platform, and dynamic ECG monitoring The waist belt 1 is worn on the waist and abdomen of the human body, and is used to collect, store, and send the ECG signal, motion and position information of the human body;

The ECG monitoring platform includes a mobile phone App ECG monitoring platform 3 and a PC-side ECG monitoring platform 4; among them, the mobile phone App ECG monitoring platform 3 receives the ECG signal, motion and location information sent from the dynamic ECG monitoring belt 1 , and send the received information to the cloud server 2;

The PC-side ECG monitoring platform 4 obtains the ECG signal, motion and location information from the database of the cloud server 2, wherein, the ECG signal is denoised and displayed, and the motion information is recognized by the motion recognition algorithm. The map API establishes a connection and displays the location information in real time. Enables a closer interaction between the monitored person and the doctor.

The dynamic ECG monitoring belt 1 includes an ECG conditioning module 5, a Big Dipper real-time positioning module 6, an acceleration sensor module 7, an SD card storage module 8, a wireless bluetooth module 9 and a microcontroller module 10; the ECG conditioning module 5 The electrocardiogram signal of the human body is collected and obtained by connecting the electrode sheet 11 and the lead wire 12, and the obtained information is amplified and filtered through the conditioning circuit; the Beidou real-time positioning module 6 is used to obtain the current position information; the acceleration sensor module 7 is used for Obtain current motion information; the microcontroller module 10 is used to collect the information obtained in the ECG conditioning module 5, the Beidou real-time positioning module 6 and the acceleration sensor module 7, process and package the collected information, and pass the wireless bluetooth module 9. The information is sent to the mobile phone App ECG monitoring platform 3, and the ECG waveform is displayed in real time in the mobile phone App ECG monitoring platform 3; at the same time, after the microcontroller module 10 processes and packs the information, the processed Information is stored by SD card storage module 8. The microcontroller module 10 is an STM32 main control chip.

As shown in Fig. 1, a kind of monitoring method of the electrocardiogram monitoring system utilizing motion recognition and positioning function, (1), stick two electrode pads 11 on the measurement position of the human body surface, connect the two leads connected with the electrode pads 11 The output port of the line 12 is connected with the acquisition port of the ECG conditioning module 5 in the dynamic ECG monitoring belt 1, and the ECG signals of the human body are collected, and the collected weak ECG signals are amplified through the conditioning circuit and filtering;

(2), utilize acceleration sensor module 7 to gather the motion information of current user; Utilize Big Dipper real-time positioning module 6 to gather the positional information of current user;

(3), the microcontroller module 10 processes and packs the electrocardiographic signal, motion and position information collected in the steps (1) and (2), stores them by the SD card storage module 8, and stores them by the wireless bluetooth module 9 All information is sent to the mobile APP ECG monitoring platform 3;

(4), as shown in Figure 2, after receiving the ECG signal, motion and position information, the mobile phone APP ECG monitoring platform 3 first initializes the mobile phone APP software and creates a UI thread. Occurrence, first, detect whether there is a button event trigger, if there is a button event, execute the corresponding button event; second, detect whether there is a Bluetooth device for interaction, if there is interaction, perform data transmission, and use the drawing control at this time Draw the electrocardiogram waveform and display it on the main interface of the mobile APP software; third, after receiving the data, send the data to the cloud server 2;

(5), as shown in Figure 3, the PC-side ECG monitoring platform 4 is connected to the database of the cloud server 2 and reads the data, and the received ECG data is eliminated through a low-pass filter to eliminate the high frequency represented by myoelectric interference Noise, and then pass the ECG data through the low-pass filter through a third-order high-pass filter. Here, the low cut-off frequency is set to 0.5Hz to filter out low-frequency noise such as baseline drift and DC offset potential. Perform a 50Hz band-stop filter on the high-pass filtered ECG data to eliminate 50Hz power frequency noise, use the waveform chart control to draw the waveform of the filtered ECG data, and use the mathematical morphology method to analyze the interval between R waves calculation, thereby calculating the user's current heart rate; the PC-side ECG monitoring platform 4 performs motion recognition on the motion information collected by the acceleration sensor module 7 through a motion recognition algorithm; the PC-side ECG monitoring platform 4 establishes a connection with the Baidu map API to connect The real-time positioning module 6 combines Baidu map to display the location information in real time.

Finally, it should be noted that: the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit them; although the present invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that: it still The technical solutions described in the foregoing embodiments may be modified, or some or all of the technical features may be equivalently replaced; and these modifications or replacements do not make the essence of the corresponding technical solutions depart from the scope of the technical solutions of the embodiments of the present invention. .

Claims (4)

1. a kind of cardioelectric monitor system with motion identification and positioning function, the system is by Holter waistband, cloud Hold server and cardioelectric monitor platform composition, it is characterised in that：Holter waistband is worn on human body waist and belly, is used for Collection, storage, electrocardiosignal, motion and the positional information for sending human body；

Cardioelectric monitor platform includes mobile phone A pp cardioelectric monitors platform and PC ends cardioelectric monitor platform；Wherein, mobile phone A pp electrocardios are supervised Survey platform and receive electrocardiosignal, motion and the positional information sent from Holter waistband, and by the information of reception Send to cloud server；

PC ends cardioelectric monitor platform obtains electrocardiosignal, motion and positional information from the database of cloud server, wherein, pass through To electrocardiosignal denoising and show, motion identification is carried out to movable information by motion recognition algorithms, by with Baidu Scheme API and establish contact, to positional information real-time display.

A kind of 2. cardioelectric monitor system with motion identification and positioning function according to claim 1, it is characterised in that The Holter waistband includes electrocardio conditioning module, the real-time locating module of the Big Dipper, acceleration sensor module, SD card Memory module, wireless blue tooth module and micro controller module；

Electrocardio conditioning module is connected by electrode slice with conducting wire gathers the electrocardiosignal of acquisition human body and by modulate circuit pair The information of acquisition is amplified and filtering process；The real-time locating module of the Big Dipper is used to obtain current positional information；Acceleration passes Sensor module is used to obtain current movable information；

Micro controller module is used to gather to obtain in the real-time locating module of electrocardio conditioning module, the Big Dipper and acceleration sensor module Information, the information collected is handled and packed, and mobile phone A pp electrocardios are sent information to by wireless blue tooth module Monitoring platform, and real-time display is carried out to ecg wave form in mobile phone A pp cardioelectric monitor platforms；Micro controller module is right simultaneously After information is handled and packed, the information after processing is stored by SD card memory module.

A kind of 3. cardioelectric monitor system with motion identification and positioning function according to claim 2, it is characterised in that The micro controller module is STM32 main control chips.

A kind of a kind of 4. monitoring side with the cardioelectric monitor system for moving identification and positioning function using described in claim 2 Method, it is characterised in that：

(1) two electrode slices, are attached to human body surface measurement position, by the output end for two conducting wires being connected with electrode slice Mouth is connected with the collection port of the electrocardio conditioning module in Holter waistband, and the electrocardiosignal of human body is adopted Collection, the faint electrocardiosignal collected is amplified and filtered by modulate circuit；

(2) movable information of active user, is gathered using acceleration sensor module；Worked as using the real-time locating module collection of the Big Dipper The positional information of preceding user；

(3), micro controller module will collect electrocardiosignal, motion and positional information in step (1) and (2) and be handled and be beaten Bag, is stored, and sent all information to mobile phone A pp cardioelectric monitors by wireless blue tooth module by SD card memory module Platform；

(4), mobile phone A pp cardioelectric monitors platform first enters after electrocardiosignal, motion and positional information is received to cell phone application software Row initialization, creates UI threads, and now UI threads control the generation of three class events respectively, are touched first, detecting the presence of button event Hair, if button event occur, then perform corresponding to button event；Interacted second, detecting the presence of bluetooth equipment, if any Interaction, carries out the transmission of data, now ecg wave form figure is drawn with Graphics Control, be shown in cell phone application software master On interface；Third, after data are received, cloud server is sent data to；

(5), PC ends cardioelectric monitor platform is connected to the database of cloud server and reads data, first makes the electrocardio number received It is the high-frequency noise of representative according to myoelectricity interference is eliminated by low pass filter, then makes the electrocardiogram (ECG) data warp by low pass filter A three rank high-pass filters are crossed, low cut-off frequency is arranged to 0.5Hz here, filter out baseline drift and direct current offset potential Etc. low-frequency noise, 50Hz bandreject filtering is carried out to the electrocardiogram (ECG) data by low pass and high-pass filtering, eliminates 50Hz work Frequency noise, the waveform tracing of electrocardiogram (ECG) data after filtering is come out using waveform chart control, using Mathematical Morphology method to R ripples Between between the phase calculated, so as to calculate user's Current heart rate；

The movable information that PC ends cardioelectric monitor platform is gathered by motion recognition algorithms to acceleration sensor module moves Identification；PC ends cardioelectric monitor platform is contacted by being established with Baidu map API, by the real-time locating module combination Baidu map of the Big Dipper Real-time display has been carried out to positional information.