WO2007053975A1

WO2007053975A1 - A mobile terminal, a medical sevice system and an ecg monitoring method for monitoring

Info

Publication number: WO2007053975A1
Application number: PCT/CN2005/001877
Authority: WO
Inventors: Iris Zhao
Original assignee: Iris Zhao
Priority date: 2005-11-09
Filing date: 2005-11-09
Publication date: 2007-05-18

Abstract

A mobile terminal, a medical service system and an ECG monitoring method for monitoring the ECG are provided, in which the mobile terminal for monitoring the ECG includes a communication processing system; an ECG data acquiring subsystem which is used to acquire the original ECG data and process the original ECG data to acquire the ECG data for analyzing the ECG; an ECG data analyzing subsystem which is provided in an EMS memory or a memory card, and used to operate the ECG data acquiring subsystem to perform acquisition and processing of the ECG data, and perform the corresponding ECG analysis according to the ECG data which can be used to the ECG analysis to gain an ECG waveform and/or a first diagnostic result; a display device for displaying the first diagnostic result and/or the ECG waveform.

Description

Mobile terminal, medical service system and electrocardiogram detection method for realizing electrocardiogram detection

The invention designs a medical device, and is specially designed to realize a mobile terminal for detecting electrocardiogram, a medical service system and an electrocardiogram detecting method. Background technique

With the development of society, the increase of personnel turnover and the aging of the population, medical difficulties have become a reality. One of the main reasons for this phenomenon is that medical information between localities and hospitals cannot be shared.

At the same time, the current cardiovascular diseases are on the rise year by year. Especially for some patients with subclinical symptoms, the time and location of the disease are unpredictable. The clinical data show that the cause of sudden death is the first place in cardiovascular disease. More than half, due to the lack of effective monitoring, most of the cardiac arrests died outside the hospital, accounting for (60-70)%, of which more than half died at home, in jobs or in public places. Therefore, the use of ECG monitors and H0LTER can not accurately detect the abnormality of the patient's ECG. Some portable ECG monitors have the following problems: Most of them use split structure, which is divided into ECG acquisition module and display control analysis. In two parts, the user is not convenient to carry. The so-called one-piece portable ECG monitor has too small storage capacity, no display, or is affected by the device, circuit and design ideas, resulting in insufficient display information. The audio is transmitted over the telephone, which affects the reliability of the communication and is not convenient for going out.

The ECG is detected by the traditional ECG lead wire. The connection is troublesome, the user's operation is inconvenient, and the problem ECG data cannot be detected in time. It is not applicable in some occasions. It is simply lead-free line detection, because of its own detection of the influence of electrode placement. It is not easy to draw a standard ECG waveform, which is not convenient for doctors to further analyze it, so it is often not recognized by experts and doctors;

The existing portable monitoring device has only a single ECG monitoring function, and at the same time, several other human physiological characteristics detection, such as blood pressure, breathing, etc., are not fully utilized by the development of modern network technology and computer electronic technology. The result. Countries have increased their investment in public health system construction and health care services for the overall population health, but perfect personalized medical services are still a blank. Summary of the invention

The object of the present invention is to provide a mobile terminal, a medical service system and an electrocardiogram detection method for implementing ECG detection, which solves the problem that the reliability of the ECG detection is insufficient, is inconvenient to carry, and cannot realize remote diagnosis through the existing mobile network.

In order to achieve the above object, the present invention provides a mobile terminal for implementing ECG detection, including a communication processing system, wherein the method further includes:

An ECG data acquisition subsystem, configured to collect raw ECG data, and process the original ECG data to obtain ECG data that can be used for ECG analysis; An ECG data analysis subsystem is disposed in a memory or a memory card of the communication processing system, configured to instruct the ECG data acquisition subsystem to perform collection and processing of ECG data, and is applicable to ECG analysis according to the The electrocardiographic data is subjected to corresponding electrocardiographic analysis to obtain an electrocardiogram waveform and/or a first diagnostic result;

a display device for displaying the first diagnostic result and/or the electrocardiogram waveform.

The mobile terminal for implementing ECG detection, wherein the communication processing system is further configured to send the ECG data applicable to ECG analysis to a medical network service platform through a mobile communication network, and receive the medical network The service platform returns a second diagnosis result according to the ECG data that can be used for ECG analysis; the display device is further configured to display the second diagnosis result.

The mobile terminal that implements the ECG detection, wherein the mobile terminal includes a casing, and the ECG data acquisition subsystem specifically includes:

An ECG data acquisition module, configured to collect the original ECG data;

An ECG data pre-processing module is disposed in the casing for performing process control on ECG data acquisition and prior processing, and performing pre-processing on the collected original ECG data;

a communication interface module, disposed in the casing, configured to convert the ECG data processed by the ECG data preprocessing module to obtain the ECG data that can be used for ECG analysis, and output the The ECG data analysis subsystem is provided with a power control module disposed inside the casing for providing power requirements of the ECG data pre-processing module and the communication interface module.

The mobile terminal that implements the ECG detection, wherein the ECG data pre-processing module specifically includes:

The ECG signal input circuit is configured to perform defibrillation protection and drive buffering on the original ECG data collected by the ECG data acquisition module, and select a lead mode;

An amplification filter circuit for amplifying an output signal of the ECG signal output circuit, filtering noise, and converting the signal into a single-ended signal;

And a detection control circuit, configured to control the ECG signal input circuit, and perform analog-to-digital conversion on the signal output by the amplification filter circuit, and then send the signal to the communication interface module.

The mobile terminal for implementing ECG detection, wherein the ECG data acquisition module is a three-lead ECG detection cable or four hearts disposed on the housing and connected to the ECG data pre-processing module. Electrical data acquisition electrode.

In order to better achieve the above object, the present invention also provides a method for performing ECG detection on a mobile terminal, including the following steps:

Step S1: The ECG data collection subsystem of the mobile terminal collects original ECG data according to the instruction, and processes the original ECG data to obtain ECG data that can be used for ECG analysis;

Step S2, the ECG data analysis subsystem of the mobile terminal obtains an ECG waveform and/or a first diagnosis result according to the ECG data that can be used for ECG analysis;

Step S3, the display device of the mobile terminal displays the electrocardiogram waveform and/or the first diagnosis result.

The method for performing ECG detection on the mobile terminal, wherein the method further includes:

Step S4, the communication processing system of the mobile terminal passes the ECG data that can be used for ECG analysis through the mobile communication The letter network is sent to the medical network service platform;

Step S5: The communication processing system of the mobile terminal receives a second diagnosis result returned by the medical network service platform according to the ECG data that can be used for electrocardiographic analysis;

Step S6: The display device displays the second diagnosis result.

The method for performing the ECG detection on the mobile terminal, wherein the step S1 specifically includes the following steps:

Step S11, the ECG data collection module collects the original ECG data according to the instruction;

Step S12, the ECG data pre-processing module acquires the heart that can be used for ECG analysis after performing the operations of lead selection, defibrillation protection, drive buffering, amplification filtering, analog-to-digital conversion, and differential filtering on the original electrocardiogram data. Electrical data.

The method for performing ECG detection on the mobile terminal, wherein the instruction in the step S1 includes a lead connection mode, a measured lead, a gain, a detection mode, and a detection time.

In order to achieve the above objective, the present invention further provides a medical service system, including a mobile terminal and a medical network service platform connected through a mobile communication network, the mobile terminal including a communication processing system and an ECG data. Acquisition subsystem, an ECG data analysis subsystem;

The ECG data acquisition subsystem is configured to collect original ECG data, and process the original ECG data to obtain ECG data that can be used for ECG analysis;

The ECG data analysis subsystem is disposed in a memory of the communication processing system, configured to instruct the ECG data acquisition subsystem to perform collection and processing of ECG data, and interact with the communication processing system;

The medical network service platform is configured to analyze the ECG data that can be used for ECG analysis to obtain a second diagnosis result;

The communication processing system is configured to send the ECG data usable for ECG analysis to the medical network service platform through the mobile communication network, and receive, by the mobile communication network, the returned by the medical network service platform The second diagnosis result;

a display device for displaying the second diagnosis result.

The above medical service system, wherein the medical network service platform comprises:

a communication server, configured to detect a connection request of the mobile terminal through a TCP communication port, and establish a connection to receive the ECG data that can be used for ECG analysis sent by the mobile terminal, and send the diagnosis result to the Mobile terminal

a server-side ECG data processing module, configured to obtain the second diagnosis result according to ECG data usable for ECG analysis;

A data server is configured to store ECG data and diagnostic results received by the communication server for ECG analysis; the communication server, the server-side ECG data processing module, and the data server are supported by a website.

The above medical service system _f, wherein the medical network service platform further includes:

An expert consultation subsystem for allowing an expert to obtain the second diagnosis result based on the electrocardiographic data available for electrocardiographic analysis.

The above medical service system, wherein the medical network service platform further includes - A medical service providing subsystem connects the service systems of the plurality of hospitals for providing medical services other than the electrocardiogram, and the mobile terminal can receive medical services other than the electrocardiogram by connecting the medical service providing subsystems.

In order to achieve the above objective, the present invention further provides a medical service system for performing ECG detection, comprising the following steps: Step S10, the ECG data acquisition subsystem of the mobile terminal collects the original ECG data according to the instruction, and Processing the raw ECG data to obtain ECG data that can be used for ECG analysis;

Step S20: The ECG data analysis subsystem of the mobile terminal receives the ECG data that can be used for ECG analysis according to the receiving;

Step S30, the communication processing system of the mobile terminal sends the ECG data that can be used for ECG analysis to the medical network service platform through the mobile communication network;

Step S40: The medical network service platform obtains a second diagnosis result according to the ECG data that can be used for ECG analysis;

Step S50: The communication processing system of the mobile terminal receives the second diagnosis result.

Step S60, the display device displays the second diagnosis result.

Through the mobile terminal, the medical service system and the electrocardiogram detection method for realizing electrocardiogram detection of the present invention, the electrocardiogram detection is integrated in the mobile terminal, and fully utilizes the data processing capability of the existing mobile network and the mobile terminal, and effectively solves The real-life center electrical detection has insufficient reliability, is inconvenient to carry, and cannot realize remote diagnosis through the existing mobile network. DRAWINGS

1 is a structural diagram of an ECG data acquisition subsystem of a mobile terminal;

2 is a schematic structural diagram of an ECG signal preprocessing module;

3 is a schematic structural diagram of an ECG signal input circuit and an amplification filter circuit;

4 and 5 are schematic diagrams showing the external structure of the mobile terminal;

Figure 6 is a schematic diagram of the user performing ECG detection through an external standard 3-lead ECG detection cable;

7 is a schematic diagram of a user performing ECG detection through an electrocardiographic data acquisition electrode;

Figure 8 is a schematic diagram of the electrocardiogram waveform detected by the method shown in Figure 6;

Figure 9 is a schematic diagram of the electrocardiogram waveform detected by the method shown in Figure 7;

Figure 10 is a specific circuit diagram of the combination of the ECG signal input circuit and the amplification filter circuit;

Figure 11 is a specific circuit diagram of the detection control circuit;

Figure 12 is a specific circuit diagram of the power control circuit;

13 is a specific circuit diagram of the communication interface circuit;

Figure 14 is a block diagram showing the overall flow of the ECG data acquisition subsystem;

Figure 15 is a schematic diagram of the initialization operation flow;

16 is a schematic diagram of a processing flow of a communication transmission interruption of an electrocardiogram data acquisition subsystem; 17 is a schematic diagram of a processing flow of a C/TI timer 1 ms timer interrupt;

18 is a schematic diagram of a processing flow of a communication receiving interruption of an ECG data acquisition subsystem;

Figure 19 is a schematic diagram of the processing flow of the signal sampling interrupt;

20 is a schematic flowchart of a process of an ECG data analysis subsystem of a mobile terminal;

21 is a schematic flow chart of implementing a medical service by the mobile terminal of the present invention;

22 is a schematic diagram of a processing flow of a medical network service platform;

Figure 23 is a schematic flow chart of the physiological parameters processing of the human body;

Figure 24 is a schematic diagram of the validity verification process;

25 is a schematic diagram of a processing flow of a server-side ECG data processing module;

Figure 26 is a structural diagram of the composition of the medical network service platform;

Figure 27 is a structural diagram of the composition of the service center subsystem;

Figure 28 is a diagram showing the composition of the monitoring subsystem;

Figure 29 is a schematic diagram of the system business model of the medical network service platform. detailed description

The invention combines computer technology, biomedical engineering technology, modern electronic technology, internet and network digital communication technology to improve existing mobile terminals, making it a mobile personal medical assistant and an electrocardiograph.

As shown in FIG. 1, the mobile terminal with ECG data monitoring function of the present invention includes: in addition to a communication processing system, '

An ECG data acquisition subsystem for collecting raw ECG data, and processing the original ECG data to obtain ECG data that can be used for ECG analysis;

An ECG data analysis subsystem is disposed in a memory card or a memory of the mobile terminal, configured to instruct the ECG data acquisition subsystem to perform ECG data acquisition and processing, and perform corresponding ECG according to the acquired ECG waveform data. Analysis, obtaining an electrocardiogram waveform and/or a first diagnostic result;

The ECG data acquisition subsystem specifically includes:

An ECG data collection module 1 for collecting raw ECG data;

An ECG data pre-processing module 2 is disposed inside the mobile terminal and is used for process control of ECG data acquisition and prior processing, and performs pre-processing on the collected original ECG data;

a communication interface module 3, disposed inside the mobile terminal, configured to convert the ECG data processed by the ECG data preprocessing module into RS-232 interface level data and output to the ECG data analysis subsystem;

A power control module 4, which is disposed inside the mobile terminal, provides different power requirements for the ECG data pre-processing module 2 and the communication interface module 3;

The ECG data analysis subsystem is disposed in a memory card or a memory of the mobile terminal, configured to instruct the ECG data acquisition subsystem to perform collection and preprocessing of the ECG data, and receive the processed output of the communication interface module 3 for processing ECG Analysis of ECG data for baseline stabilization and noise filtering, QRS complex detection, ST segment, T-wave analysis, preliminary analysis of ECG waveforms obtained from the above analysis;

As shown in FIG. 2, the ECG data pre-processing module 2 specifically includes:

The ECG signal input circuit 21 is configured to perform defibrillation protection and drive buffering on the original ECG data collected by the ECG data acquisition module 1, improve the input impedance of the amplification circuit, reduce the output impedance, and control the human body by using a lead selection circuit. The input of the ECG signal is selected, and the different leads are selected from different parts of the human body;

The amplification filter circuit 22 is configured to perform two-stage amplification on the output signal of the ECG signal output circuit 21, and filter out the high frequency noise radiated by the electronic device and the 50 Hz noise of the commercial power, and convert the signal into a single-ended signal;

The detection control circuit 23 is used for ECG signal detection process control, and performs analog-to-digital conversion on the signal output from the amplification filter circuit 22, and further filtering.

As shown in FIG. 3, the ECG signal input circuit 21 specifically includes:

Input and protection circuit 211 for defibrillation protection and drive buffering, avoiding excessive polarization voltages on the circuit and filtering out some indeterminate interference signals, while providing input buffering and driving for the input signal while improving the whole heart Input impedance and anti-interference capability of the electrical data acquisition circuit;

Lead selection circuit 212 for lead selection during ECG data acquisition;

The amplification filter circuit 22 specifically includes:

The preamplifier circuit 221 is configured to amplify the received millivolt differential electrocardiogram data and convert the double-ended differential signal into a single-ended signal, because the above-mentioned several stages of circuits all work under zero bias conditions. Therefore, the amplitude of the output signal is positive and negative and the signal entering the ADC must be single-ended, so the adder is required to convert the signal into a single-ended signal; the filtering and main amplification circuit 222 includes 0.2 for filtering out the original ECG data. a high-pass filter circuit for low-frequency clutter signals below HZ and a low-pass filter circuit for filtering high-frequency clutter signals in the original electrocardiogram data, and simultaneously performing secondary amplification on the signals;

At the same time, the amplification filter circuit 22 may further comprise a circuit for inverting and amplifying the common mode signal of the human body to excite the right leg (neutral point) of the human body, thereby reducing or even canceling the common mode voltage, so as to achieve strong suppression of 50HZ power frequency interference. the goal of;

The detection control circuit 3 specifically includes:

The A/D conversion module is configured to perform analog-to-digital conversion on the filtering and the ECG signal outputted by the main amplifying circuit 22 for subsequent processing;

The second filtering module uses software to perform filtering to further eliminate the interference.

As shown in FIG. 4 and FIG. 5, the ECG data acquisition module 1 of the mobile terminal having the ECG data monitoring function of the present invention is a 3-lead ECG detection cable 11 and a 4-pin socket 12 disposed in the mobile terminal housing. The four-pin socket 12 is connected to

The ECG signal input circuit inputs the original ECG data collected by the 3-lead ECG detection cable to the ECG signal input circuit.

As shown in FIG. 6, the user connects the three detection electrode heads through the limb electrode clip, B and the ball electrode or the disposable electrode to the left, right upper limb and left lower limb of the human body through an external standard 3-lead ECG detection cable. , the ECG data can be detected, and the standard I, II, and ΙΠ lead ECG waveforms are obtained respectively. Meanwhile, the ECG data acquisition module of the mobile terminal with the ECG data monitoring function of the present invention may also be four ECG data acquisition electrodes 13 disposed in the mobile terminal housing, and connected to the ECG signal input circuit for collecting The original ECG data is input to the ECG signal input circuit'.

As shown in FIG. 7, when the user is inconvenient to monitor the heart through the external standard 3-lead ECG detection cable, the left and right index fingers and the middle finger can be respectively used, and the four ECG data sampling electrodes on both sides of the mobile terminal are simultaneously pressed, that is, ECG data detection is available to obtain standard I lead waveforms.

Fig. 8 and Fig. 9 respectively show the detected electrocardiogram waveforms according to the methods shown in Fig. 6 and Fig. 7. The waveforms and amplitudes are basically the same when compared with the two graphs.

Fig. 10 is a circuit diagram in which the ECG signal input circuit 21 and the amplification filter circuit 22 are combined.

As shown in Figure 10, the original ECG data of each channel is subjected to defibrillation protection and drive buffer before being sent to the preamplifier. Taking RA (right hand) channel as an example, the defibrillation protection circuit is R37, Dl, D2, R49, C28, C27, R42, C19, its role is to avoid the impact of excessive polarization voltage on the circuit and filter out some uncertain interference signals; the drive buffer circuit is operated by one of the four op amps TL064 U4A and R48 R36, R33, its role is to provide input buffer and drive for the input signal, while improving the input impedance and anti-interference ability of the entire ECG data acquisition circuit, the defibrillation protection and drive buffer circuit of the other channels are the same;

Four-choice and one-end multi-way selector switch U6 ( 4052) for lead selection during ECG data acquisition;

R56, R58, R59 are used to generate the calibration signal of lmv. The preamplifier circuit is placed after the drive buffer circuit, and is composed of the high input impedance amplifier AD620 and R16, C34, R22, R20, R21 for receiving The millivolt-level differential ECG data is amplified while converting the double-ended differential signal into a single-ended signal;

The high-pass filter circuit consists of C41 and R25, which is used to filter low-frequency clutter signals below 0.2HZ in ECG data. The low-pass filter circuit consists of two op amps U5A, U5D and R15, R17, C36 in four op amps TL064. , Rl R18, C38, R23, C39, used to filter high frequency clutter signals in the original ECG data, wherein the first-order low-pass filter circuit composed of U5A, R15, R17 low-pass the ECG data The signal is secondarily amplified while filtering, and R18, R23, C38, C39 and U5D form a second-order low-pass filter circuit;

The level up and rear stage drive circuit consists of one of the four op amps TL064, U5C, R41, R39, and R40, ensuring that the signal sent to the detection control circuit 3 for A/D conversion is 0~5 volts DC signal and Improve the driving ability of the signal; The shielding driving circuit is composed of one of the four operational amplifiers TL064, U5B and R54, L15, C30, and R55. Its function is to suppress external interference and improve the immunity of the monitor;

The "floating ground" drive circuit consists of an op amp U4D, U7 (4052) and R53, R52, R51, R38, C29 in the four op amp TL064, which is used to invert the human common mode signal to amplify the human right leg. (Neutral point), thereby reducing or even canceling the common mode voltage, in order to achieve a strong suppression of 50HZ power frequency interference.

DETAILED detection control circuit ₅ CPU circuit 11 using an AVR series of low-power 8-bit processor ATmega88v, wherein PD5, PD6, PD7 are respectively connected to the control terminal INH 4052, A, B for the derivative of ECG data Make a choice;

PCI (ADC1) receives the processed ECG data and performs A/D conversion on the ECG data; PC3 (ADC3) is connected to the feedback terminal of amplifier AD620 to detect whether the feedback lead is off.

PC2 (ADC2) is connected to the output of the AD620 through pull-up resistors R28 and R27 to detect if a lead has fallen off.

The specific circuit of the power control circuit is shown in Figure 12. The circuit consists of MAX756, C4, C5, C8, D7, LI and MAX1697, C7, C9, C6 and C10, C11, FUSEl, and the self-recovery fuse FUSEl acts as an overload protection. , C10 and C11 filter high frequency and low frequency clutter in the power supply respectively to improve the stability of the power supply;

The MAX756, C4, C5, D7, and L1 form a voltage boost circuit that converts the +3V supply provided by the battery to a +5V voltage output;

The MAX1697, C6, C7, and C9 form a negative-voltage conversion circuit that converts the +5V of the MAX756 output to a 5V output.

The specific circuit of the communication interface circuit is shown in Figure 13. The circuit consists of MAX232 chip, C14, C15, C13, C16, C12, which is used to convert ATmega88's USART interface level to RS-232 interface level.

Figure 14 is a block diagram of the overall flow of the ECG data acquisition subsystem, including the following steps:

After the mobile terminal turns on the power, the ECG data acquisition subsystem performs the initialization operation. The specific initialization process is shown in Figure 15. The main execution stack settings, the initial setting of the register and the working unit, and the I/O port initialization (the PD port is the full output). , Set 4052 selection), Serial communication initialization (set baud rate is 9600, 8-bit data bit, 1-bit stop bit, enable receiving interrupt), initial timer setting (T/C1 is set to CTC timer mode, 1ms comparison A Match) and ADC initialization settings (select ADC input, and set ADC reference voltage and slew rate); After initialization is completed, the default is I lead detection, gain is 1, detection mode is monitoring mode, there is advanced filter ADC conversion rate 62.5K; After the initialization is completed, wait for the instruction of the ECG data analysis subsystem. If the instruction of the ECG data analysis subsystem is to start the ECG detection, set the lead selection, gain selection and detection mode according to the instruction, and allow Cm timer lrns timer interrupt and ADC conversion interrupt, start to detect ECG signal, and timing to ECG According to the analysis sub-system transmits the ECG data; if the ECG data analysis command to stop detection subsystem, the timer interrupt and shut down the ADC interrupt is enabled, the ECG signal detection and the transmission stop;

Wait for new instructions from the ECG data analysis subsystem.

Figure 16 shows the processing flow of the communication transmission interruption, which performs the following operations:

Protect the scene before the communication is sent out;

For the data header data, the data synchronization header flag characters AA and 55 are sent, and the initial value of the communication transmission byte counter is set to resume the scene before the interruption;

For non-data header data, send two bytes of ECG acquisition module working status flag code, then send eight bytes of sample data, and finally send data checksum. After 13 bytes of data are sent, it is forbidden. The communication is sent interrupted and the scene is restored before the interruption.

Figure 17 shows the processing flow of the Cm timer lms timer interrupt, which performs the following operations:

If the millisecond count value is an integer multiple of 5, the ECG signal detection setting is performed, the ADC conversion interrupt is opened, and the ECG signal is sampled and processed in its interrupt program; If the remainder of the millisecond count divided by 5 is 1, the lead-off signal detection setting is performed, the open ADC conversion is interrupted, and the lead-off signal is sampled and processed;

If the remainder of the millisecond count value divided by 5 is 4, the feedback end lead-off signal detection setting is performed, the open ADC conversion interrupt is interrupted, and the feedback end lead-off signal is sampled and processed;

If the remainder of the millisecond count value divided by 5 is 3, the sampled data selected by the second filter module filtered or unfiltered according to the detection mode setting is sent to the transmit data temporary storage area;

If the remainder of the millisecond count value divided by 20 is 2, the current working state, including lead selection, gain selection, detection mode selection, and lead connection state (whether it is off) is sent to the communication interface circuit to calculate the communication transmission. Data checksum, open communication send interrupt, allowing data to be sent to the ECG data analysis subsystem.

18 is a processing flow of a communication receiving interrupt of the ECG data acquisition subsystem, specifically including the following steps of operation - protecting the scene before the interruption and reading the received data;

Find the receive data sync header flag characters AA and 55;

Receive and save the ECG data analysis subsystem command, set the command received flag after receiving, and close the communication send interrupt to allow recovery of the site before the interruption.

Figure 19 shows the processing flow of the signal sampling interrupt. The following operations are performed:

Save and read the current A/D conversion value (sample value);

If it is ECG signal detection, perform advanced filtering by performing differential calculation on the first six times and the current ECG sampling data, and save the calculated value;

If it is the lead-off signal detection, the differential calculation is performed on the first six times and the current lead-off sampling data, and the advanced filtering is performed, and the calculated value is saved, and at the same time, it is judged whether the lead is detached, and the corresponding flag is set;

If the feedback of the feedback end is off, the differential calculation is performed on the data of the first six times and the feedback of the feedback lead, and the advanced filtering is performed, and the calculated value is saved, and the lead is judged to be off, and the corresponding flag is set.

Where the difference formula is as follows:

Υ1(Ν)=[-Χ(Ν-2)+4Χ(Ν-1)-2Χ(Ν)+4Χ(Ν+1)-Χ(+2)]/4 (1)

Υ(Ν)=[Υ1(Ν-1)+2Υ1(Ν)+Υ1(Ν+1)]/4 (2)

Substituting equation (1) into equation (2) yields:

Υ(Ν)=[-Χ(Ν-3)+2Χ(Ν-2)+5Χ(Ν-1)+4Χ(Ν)+5Χ(Ν+1)+2Χ(Ν+2)-Χ(Ν +3)]/16 where Y is the output value, X is the sampled input value, N is the number of samples, the sampling frequency is 200Hz, and the corner frequency is 30Hz.

Figure 20 is a flow chart of the processing of the ECG data analysis subsystem, which performs the following operations:

Entering the ECG data analysis subsystem through the main interface of the mobile terminal;

Selecting ECG monitoring sends an instruction to start the ECG to the ECG data acquisition subsystem;

If you choose personal medical services, you will be selected to complete a medical consultation or medical service project.

As shown in FIG. 20, the method for performing ECG monitoring by the mobile terminal with ECG data monitoring function of the present invention includes the following steps: The ECG data analysis subsystem sends an ECG-related instruction to the ECG data acquisition subsystem. The packet format is: OxAA 0x55 PI P2 SUM, where: OxAA 0x55 is the data synchronization header, PI is the measured lead, gain , detection mode (monitor mode or diagnostic mode) setting, detection start or stop flag, P2 is the detection time setting, SUM is the checksum;

The ECG data acquisition subsystem collects the original ECG data and performs corresponding pre-processing, and packages the ECG data and returns it to the ECG data analysis subsystem. The data packet format is: OxAA 0x55 SI S2 ECG3H ECG3L ECG2H ECG2L ECG1H ECG1L ECGOH ECGOL SUM , where: OxAA 0x55 is the data synchronization header, SI is the return flag, which indicates the current measurement, gain, detection mode, presence or absence of lead-off status of the ECG data acquisition subsystem, S2 is the standby flag, ECG3H~ECG0L The ECG waveform data of the last 4 sampling points is hexadecimal data, ECG3H represents the upper two bits of the ECG waveform data, only accounts for bitl and bit2 of ECG3H, and the remaining bits are 0. ECG3L represents the ECG waveform data. The lower 8 digits and other analogy SUM are the verification ft. GnH according to EIECG3H ECG3L ECG2H ECG2L ECG1H ECG1L ECGOH ECGOL SUM ECG data analysis subsystem starts the heart of the received ECG data at a ratio of 10mm/m _V , 25mm/S Real-time display and storage of electrical waveforms;

At the end of the test, the ECG data analysis subsystem sends a detection end command to the ECG data acquisition subsystem, and the ECG data acquisition subsystem stops the collection and preprocessing of the ECG data;

The ECG data analysis subsystem performs heart rate analysis on the received ECG data and stores and displays it through the mobile terminal;

The ECG data analysis subsystem calls the communication module of the mobile terminal to send the ECG data and the analysis result to the medical network service platform;

The ECG data analysis subsystem calls the communication module of the mobile terminal to receive the analysis and diagnosis result returned by the medical network service platform and display it.

As shown in FIG. 20, the method for performing ECG monitoring by the mobile terminal with ECG data monitoring function of the present invention can also play back the previous ECG data, and display and display the ECG detection waveform and analysis according to the user's selection corresponding time period. diagnostic result.

Of course, the terminal of the present invention can also transmit physical characteristics data such as EEG data and blood pressure data to the medical network service platform.

21 is a flow chart of implementing a medical service by the mobile terminal of the present invention. During the medical consultation process, the user can query the location of the hospital in the system, the setting of the department, the expert information, the medical characteristics, the relevant medical science knowledge, etc. During the fee process, ₇ can be inquired about the payment of medical related expenses and system fees. During the registration process of the appointment clinic, the user can select the hospital according to the medical consultation requirements and the relevant consultation results of the medical care, and select the hospital in the appointment registration interface. , outpatient time, medical experts, etc. After the determination, the user terminal uploads relevant information to the network center, and the medical network service platform performs resource configuration. If the user requirements are met, the user terminal sends back confirmation information, and the reservation ends, if not If it can be satisfied, the user's appointment is adjusted according to the relevant resources, and sent back to the user terminal, so that the user can make a new choice.

The medical service system of the present invention comprises the aforementioned mobile terminal and a medical network service platform, and the two are connected through a mobile communication network.

The medical network service platform includes a communication application server, a data server, and a medical service website, where - a communication application server, including:

a communication server, configured to detect a connection request of the mobile terminal through the TCP communication port, and establish a connection to receive the ECG data sent by the mobile terminal, and simultaneously send an analysis diagnosis result to the mobile terminal, where the communication application server can process the plurality of mobile terminals Concurrent request;

The server-side ECG data processing module is used to obtain the diagnosis result according to the ECG data analysis that can be used for ECG analysis; the data server is configured to store the ECG data and the diagnosis result that can be used for the ECG analysis received by the communication server. And used to store user data, expert data and other related data information.

The communication server, the server-side ECG data processing module and the data server are based on a website.

The data packet sent by the mobile terminal to the communication server may be in the following format: packet length (2 Byte, length does not contain itself) + service type (lByte) + ECG monitor number (13 Byte) + acquisition time (year, month, day, hour, minute, second) , 14Byte) + Name length (lByte) + Name (Byte number and name length) + ECG length (2Byte, maximum 65535) + ECG data (binary); , The data packet sent by the communication server to the communication application server can be in the following format: ' ' Return data length (2Byte) + processing result code (lByte) + diagnosis result, where the processing result code can be successful with "0", other codes are failed, and different processing result codes correspond to different failure reasons. '

The processing flow of the medical network service platform includes the following steps:

The startup and data receiving steps, as shown in FIG. 22, the communication server establishes a process, listens to the TCP communication port set by the system, listens to the client's connection request, establishes a connection with the client, starts a new thread, and performs data reception. Disconnect after receiving is completed;

The communication data processing step, as shown in FIG. 23, reads the ECG data that can be used for ECG analysis, and validates the validity according to the ECG data acquisition length and the mobile terminal number if the ECG data length is valid, if the verification is passed , then enter the ECG data processing step, otherwise return the mobile terminal error flag directly through the communication application server;

The ECG data processing step, as shown in FIG. 23, uses the server-side ECG data processing module to process the ECG data to obtain a diagnosis result. Of course, when the mobile terminal transmits human body physical characteristic data such as EEG data, blood pressure data, and respiratory data. At this time, the analysis can also be performed to obtain the diagnosis result;

The diagnosis result returns to the step, as shown in FIG. 23, the diagnosis result is returned to the mobile terminal by using the communication application server; wherein; as shown in FIG. 24; the validity verification process is required to check the following items: whether the system user or the user status is normal Whether it is within the service period, whether the user terminal status is normal, and the number of transmittable times is greater than 0. If any of the above items fails to be verified, it is an illegal intrusion, and the mobile terminal error flag is directly returned through the communication application server.

As shown in FIG. 25, in the ECG data processing step, the server-side ECG data processing module specifically obtains the following steps. To the diagnosis result - unpacking to obtain ECG data;

Obtaining a threshold according to the maximum and minimum values of the ECG data;

The wavelet transform is performed on the ECG data, and the wavelet function selects the cubic spline wavelet, and the mallat fast algorithm is used to obtain the high frequency part of the ECG data;

Through the threshold and slope determination, the maximum and minimum value pairs are obtained, and the zero-crossing point between the extreme value pairs is found, and the zero-crossing point is moved forward by 4 points to be the R point;

Calculate the average R-R interval time, and obtain the heart rate by 60 seconds / R-R interval average time;

P wave detection, obtaining the P wave start and end points;

Arrhythmia detection, if it is arrhythmia, compare it with the individual's historical ECG data to determine whether it is arrhythmia, otherwise go directly to the next step;

Store the ECG data record in the data server;

Save the binary ECG file.

As shown in FIG. 26, the medical network service platform may include a service center subsystem, a monitoring subsystem, an expert subsystem, a user subsystem, and may also include a central communication service platform, a communication/data exchange platform with the HIS system, and the like.

As shown in Figure 27, the service center subsystem is used to manage all levels of service centers, including: service center management, hospital management, user management, expert management, tariff management, ECG monitor management, short message service, information. Management modules such as query, statistical analysis, and system management also include a data transmission security module, and service centers at all levels log in to the central subsystem through WEB;

As shown in Figure 28, the monitoring subsystem is a business system for ECG diagnosis and daily management of the hospital for ECG monitoring users. The medical staff at the hospital side log in to the monitoring subsystem through WEB. The monitoring subsystem includes: user management, tariff management, medical diagnosis, ECG monitor management, statistical analysis, medical system communication/data exchange, and data transmission security.

The expert subsystem is a subsystem for the diagnosis and consultation of the difficult electrocardiogram by the expert. The user of the system during the service period can upload the electrocardiogram picture of the routine examination, and consult the expert.

The user subsystem is a business system that provides services for the ECG monitor users. The user logs in to the user subsystem through WEB, including: basic user information browsing, user diagnostic information query, online payment, online ordering, and the like.

Figure 29 is a schematic diagram of the system business model of the medical network service platform. The system establishes a unified information center for centralized management of service centers, medical institutions, medical experts and users.

Establish a medical service website in the information center, and the center operator manages it through the browser.

The hospital operator logs into the medical service website through the browser, conducts business processing, medical diagnosis, etc. The doctor encounters a difficult medical condition that cannot be diagnosed after medical diagnosis. The doctor transfers the patient related information to the medical expert hired by the service center. Diagnosis, if one person is difficult to diagnose, you can ask a medical expert hired by the service center to consult.

Medical experts log on to the service website through a browser to diagnose difficult conditions, and can also be consulted by multiple experts. Users can view their own ECG diagnosis and other medical service information through the browser. Through the user terminal customer login service website, you can make an appointment for medical services, registration, payment of medical expenses, and the service website records the user's medical service information, and sends the data to the corresponding hospital's communication/data exchange service, which is recorded in the exchange database, by the hospital system. The interface program reads the data in the exchange database and records it in the medical database of the hospital to synchronize the data of the unified information center with the hospital data.

There are a variety of other embodiments of the present invention, and various modifications and changes can be made thereto in accordance with the present invention without departing from the spirit and scope of the invention. Changes and modifications are intended to be included within the scope of the appended claims. Industrial applicability

Through the mobile terminal, the medical service system and the electrocardiogram detection method for realizing electrocardiogram detection of the present invention, the electrocardiogram detection is integrated in the mobile terminal, and fully utilizes the data processing capability of the existing mobile network and the mobile terminal, and effectively solves The real-life center has insufficient reliability in electrical detection, is inconvenient to carry, and cannot solve the problem of remote diagnosis through the existing mobile network.

Claims

Claim

A mobile terminal for implementing ECG detection, comprising a communication processing system, further comprising: an ECG data acquisition subsystem, configured to collect raw ECG data, and process the original ECG data Obtaining ECG data that can be used for ECG analysis;

An ECG data analysis subsystem is disposed in a memory or a memory card of the communication processing system, configured to instruct the ECG data acquisition subsystem to perform collection and processing of ECG data, and is applicable to ECG analysis according to the The electrocardiographic data is subjected to corresponding electrocardiographic analysis to obtain an electrocardiogram waveform and/or a first diagnostic result;

2. The mobile terminal for implementing ECG detection according to claim 1, wherein the communication processing system is further configured to send the ECG data applicable to ECG analysis to a medical network service through a mobile communication network. a platform, and receiving a second diagnosis result returned by the medical network service platform according to the ECG data applicable for electrocardiogram analysis; the display device is further configured to display the second diagnosis result.

The mobile terminal for implementing ECG detection according to claim 1 or 2, wherein the mobile terminal comprises a casing, wherein the ECG data acquisition subsystem specifically comprises:

An ECG data acquisition module, configured to collect the original ECG data;

The mobile terminal for implementing ECG detection according to claim 3, wherein the ECG data pre-processing module specifically includes:

The mobile terminal for implementing ECG detection according to claim 4, wherein the detection control circuit is further configured to differentially filter the data after performing analog-to-digital conversion.

The mobile terminal for implementing ECG detection according to claim 3, wherein the ECG data acquisition module specifically includes:

a three-lead ECG detection cable for collecting the original ECG data; a four-core socket connecting the three-lead ECG detection cable and the ECG data pre-processing module.

The mobile terminal for implementing ECG detection according to claim 3, wherein the ECG data acquisition module comprises four modules disposed on the housing and connected to the ECG data preprocessing module. ECG data acquisition electrode.

8. The mobile terminal for implementing electrocardiographic detection according to claim 3, wherein the electrocardiographic data usable for electrocardiographic analysis is RS-232 interface level data.

A method for performing ECG detection by a mobile terminal, comprising the steps of: Step S1, the ECG data acquisition subsystem of the mobile terminal collects original ECG data according to the instruction, and the original ECG Processing the data to obtain ECG data that can be used for ECG analysis;

The method for performing ECG detection by the mobile terminal according to claim 9, further comprising: step S4, the communication processing system of the mobile terminal passes the ECG data applicable to ECG analysis through mobile communication The network is sent to the medical network service platform;

Step S5, the communication processing system of the mobile terminal receives a second diagnosis result returned by the medical network service platform according to the ECG data that can be used for electrocardiographic analysis;

Step S6: The display device displays the second diagnosis result.

The method for performing the ECG detection on the mobile terminal according to claim 10, wherein the step S1 specifically includes the following steps:

The method for performing ECG detection by the mobile terminal according to claim 9, 10 or 11, wherein the instruction in the step S1 comprises a lead connection mode, a measured lead, a gain, a detection mode, and a Measuring time.

13. A medical service system, comprising: a mobile terminal and a medical network service platform connected by a mobile communication network, the mobile terminal comprising a communication processing system, an ECG data acquisition subsystem, and an ECG data analysis subsystem;

The ECG data analysis subsystem is disposed in a memory of the communication processing system, configured to instruct the ECG data acquisition subsystem to perform collection and processing of ECG data, and interact with the communication effect system;

The communication processing system is configured to send the ECG data usable for ECG analysis through the mobile communication network And sending to the medical network service platform, and receiving, by the mobile communication network, the second diagnosis result returned by the medical network service platform;

a display device for displaying the second diagnosis result.

The medical service system according to claim 13, wherein the ECG data acquisition subsystem specifically comprises:

An ECG data acquisition module, configured to collect the original ECG data;

The medical service system according to claim 13 or 14, wherein the medical network service platform comprises:

a data server, configured to store ECG data and diagnostic results received by the communication server for ECG analysis; the communication server, the server-side ECG data processing module, and the data server are supported by a website.

The medical service system according to claim 15, wherein the medical network service platform further comprises: an expert consultation subsystem, configured to enable an expert to obtain an information based on the electrocardiogram data available for ECG analysis The second diagnosis result is described.

The medical service system according to claim 15, wherein the medical network service platform further comprises: an authentication server, configured to perform validity verification on the connection request of the mobile terminal.

The medical service system according to claim 15, wherein the medical network service platform further comprises:

a medical service providing subsystem, connecting a plurality of hospital service systems for providing medical services other than electrocardiogram. The mobile terminal can receive medical care other than electrocardiogram by connecting the medical service providing subsystem service.

19. A method for performing a heart rate detection by a medical service system, comprising the steps of:

Step S10: The ECG data collection subsystem of the mobile terminal collects the original ECG data according to the instruction, and processes the original ECG data to obtain ECG data that can be used for ECG analysis; Step S20, the ECG data analysis subsystem of the mobile terminal receives the ECG data that can be used for ECG analysis according to the receiving;

Step S60, the display device displays the second diagnosis result.

The method of claim 19, wherein the step 10 specifically includes:

Step S101, the ECG data collection module collects the original ECG data according to the instruction;

Step S102, the ECG data pre-processing module obtains the heart that can be used for ECG analysis after performing the operations of lead selection, defibrillation protection, drive buffering, amplification filtering, analog-to-digital conversion, and differential filtering on the original electrocardiogram data. Electrical data.

The method for performing ECG detection in the medical service system according to claim 19 or 20, wherein the instruction in the step S10 comprises a lead connection mode, a measured lead, a gain, a detection mode, and a detection time. .

The method for performing ECG detection in the medical service system according to claim 19 or 20, wherein the step S40 specifically includes: Step S401, the communication server detects a connection request of the mobile terminal through a TCP communication port; Step S402, the communication server establishes a connection to receive the ECG data that can be used for ECG analysis sent by the mobile terminal, and stores the data into the data server;

Step S403, the server-side ECG data processing module obtains the second diagnosis result according to the ECG data analysis that can be used for ECG analysis, and stores the second diagnosis result to the data server;

Step S404, the communication server sends the second diagnosis result to the mobile terminal.

.

The method of performing the ECG detection of the medical service system according to claim 22, wherein the step S401 and S402 further include:

Step S405, the communication server verifies the following items in the process: whether the system user, the user status is normal, whether the service period is normal, whether the user terminal status is normal, and the number of transmittable times is greater than 0, if any of the above items fails to be verified, the communication is directly through the communication. The server returns the mobile terminal error flag.

The method of performing the ECG detection in the medical service system according to claim 22, wherein the step S403 specifically comprises the following steps:

Unpacking the ECG data that can be used for ECG analysis;

Obtaining a threshold according to the maximum value and the minimum value of the ECG data that can be used for the electrocardiogram;

Performing a binary wavelet transform on the ECG data that can be used for electrocardiographic analysis;

Through the threshold and slope determination, the maximum and minimum value pairs are obtained, the zero crossing point between the extreme value pairs is found, and the zero crossing point is moved forward by 4 points to obtain the R point; Calculate the average interval of the RR interval, and obtain the heart rate by the average time of 60 seconds/R-R interval;

P wave detection, obtaining the P wave start and end points;

Storing an ECG data record in the data server;

Save the binary ECG file.