Method and device for visualizing electrocardiogram signals

Abstract

The present invention provides an ECG signal visualization method and device, including: collecting ECG signal data of the user and performing noise reduction; converting the ECG signal after noise reduction into a current signal; controlling the running state of the magnetic fluid according to the electric signal; obtaining corresponding display results in different heart rate ranges according to the running state of the magnetic fluid; the present invention combines the principle of temporal locality with the integrated wavelet noise reduction method to cope with complex noise environments; by collecting ECG and visualizing ECG, the user can observe his or her own heart rate. The present invention provides a new ECG visualization display method for ECG researchers.

Description

Technical Field

[0001] The present invention belongs to the technical field of electrocardiogram visualization, and in particular relates to an electrocardiogram signal visualization method and device. Background Art

[0002] The statements in this section merely provide background information related to the present invention and do not necessarily constitute prior art.

[0003] Magnetic fluid is essentially a magnetic substance, similar to a magnet in physical properties. It can be affected by nearby magnetic fields and can change its shape according to changes in the magnetic field. Electromagnetic inductance uses electric current to generate a magnetic field, and the size of the magnetic field can be adjusted by the size of the current. ECG signals are essentially an electric current generated by a living organism. ECG signals can be collected through a Bluetooth bracelet and converted into data for storage.

[0004] The ECG signals are converted into electric currents, which are then used to control the operation of magnetic fluids to visualize the ECG signals. However, the environment during the ECG signal collection process is currently complex, resulting in a lot of noise in the collected ECG signals, making it impossible to accurately reflect the changes in the user's ECG signals. Summary of the invention

[0005] In order to solve the technical problems existing in the above-mentioned background technology, the present invention provides an ECG signal visualization method and device, which utilizes the characteristics of electromagnetic inductance and magnetic fluid to convert the input ECG signal into visible magnetic fluid movement, thereby realizing a new ECG visualization device.

[0006] In order to achieve the above object, the present invention adopts the following technical solution:

[0007] A first aspect of the present invention provides an electrocardiogram signal visualization method, comprising:

[0008] Collect the user's ECG signal data and perform noise reduction;

[0009] Convert the ECG signal after noise reduction into a current signal;

[0010] Control the running state of magnetic fluid according to the electrical signal;

[0011] According to the running state of the magnetic fluid, corresponding display results within different heart rate ranges are obtained.

[0012] A second aspect of the present invention provides an electrocardiogram signal visualization device, comprising:

[0013] An ECG processing module, configured to collect ECG signal data of a user and perform noise reduction;

[0014] The ECG conversion module is configured to convert the ECG signal after noise reduction into a current signal;

[0015] A magnetic fluid control module, configured to control the operation state of the magnetic fluid according to the electrical signal;

[0016] The ECG display module is configured to obtain corresponding display results within different heart rate ranges according to the operating state of the magnetic fluid.

[0017] A third aspect of the present invention provides a computer-readable storage medium.

[0018] A computer-readable storage medium stores a computer program, which, when executed by a processor, implements the steps of the electrocardiogram signal visualization method as described in the first aspect above.

[0019] A fourth aspect of the present invention provides a computer device.

[0020] A computer device comprises a memory, a processor and a computer program stored in the memory and executable on the processor, wherein when the processor executes the program, the steps in the electrocardiogram signal visualization method as described in the first aspect above are implemented.

[0021] Compared with the prior art, the present invention has the following beneficial effects:

[0022] The present invention combines the principle of temporal locality with the integrated wavelet denoising method, and can cope with complex noise environments; by collecting ECG signals and visualizing them, users can observe their own heart rate. The present invention provides ECG researchers with a new way to visualize ECG signals.

[0023] Advantages of additional aspects of the present invention will be given in part in the following description, and in part will become obvious from the following description, or will be learned through practice of the present invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] The accompanying drawings in the specification, which constitute a part of the present invention, are used to provide a further understanding of the present invention. The exemplary embodiments of the present invention and their descriptions are used to explain the present invention and do not constitute improper limitations on the present invention.

[0025] Figure 1 This is the ECG signal data processing process of the visualization device in the embodiment of the present invention;

[0026] Figure 2 It is the process of selecting the optimal wavelet from multiple wavelets in the embodiment of the present invention;

[0027] Figure 3 It is the process of converting the electrocardiogram signal into the electrical signal in the embodiment of the present invention;

[0028] Figure 4It is a structural diagram of the appearance of an electrocardiogram signal visualization device in an embodiment of the present invention. DETAILED DESCRIPTION

[0029] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0030] It should be noted that the following detailed descriptions are all illustrative and intended to provide further explanation of the present invention. Unless otherwise specified, all technical and scientific terms used herein have the same meanings as those commonly understood by those skilled in the art to which the present invention belongs.

[0031] It should be noted that the terms used herein are only for describing specific embodiments and are not intended to limit exemplary embodiments according to the present invention. As used herein, unless the context clearly indicates otherwise, the singular form is also intended to include the plural form. In addition, it should be understood that when the terms "comprising" and / or "including" are used in this specification, it indicates the presence of features, steps, operations, devices, components and / or combinations thereof.

[0032] It should be noted that the flowcharts and block diagrams in the accompanying drawings illustrate the possible implementation architecture, functions and operations of the methods and systems according to various embodiments of the present disclosure. It should be noted that each box in the flowchart or block diagram can represent a module, a program segment, or a part of a code, and the module, program segment, or a part of a code may include one or more executable instructions for implementing the logical functions specified in each embodiment. It should also be noted that in some alternative implementations, the functions marked in the box can also occur in an order different from that marked in the accompanying drawings. For example, two boxes represented in succession can actually be executed substantially in parallel, or they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each box in the flowchart and / or block diagram, and the combination of boxes in the flowchart and / or block diagram can be implemented using a dedicated hardware-based system that performs a specified function or operation, or can be implemented using a combination of dedicated hardware and computer instructions.

[0033] Embodiment 1

[0034] like Figure 1As shown, this embodiment provides an ECG signal visualization method. This embodiment uses the method applied to a server as an example. It can be understood that the method can also be applied to a terminal, and can also be applied to a terminal, a server, and a system, and is implemented through the interaction between the terminal and the server. The server can be an independent physical server, or a server cluster or a distributed system composed of multiple physical servers, or a cloud server that provides basic cloud computing services such as cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network servers, cloud communications, middleware services, domain name services, security services CDN, and big data and artificial intelligence platforms. The terminal can be a smart phone, a tablet computer, a laptop computer, a desktop computer, a smart speaker, a smart watch, etc., but is not limited to this. The terminal and the server can be directly or indirectly connected via wired or wireless communication, and this application is not limited here.

[0035] In this embodiment, the method includes the following steps:

[0036] Step S1: Collect the user's ECG signal data and perform noise reduction;

[0037] Step S2: converting the ECG signal after noise reduction into a current signal;

[0038] Step S3: controlling the operating state of the magnetic fluid according to the electrical signal;

[0039] Step S4: Obtain corresponding display results within different heart rate ranges according to the operating state of the magnetic fluid.

[0040] After the device collects the ECG signal, it provides two processing modes for selection: the new wavelet noise reduction algorithm and no processing. The device is set by the technician to select one of the two modes before leaving the factory.

[0041] The new wavelet denoising algorithm innovatively combines the temporal locality principle and the integrated wavelet denoising method to produce a wavelet denoising algorithm that can cope with complex noise environments.

[0042] During the acquisition process, the noise environment is often relatively stable, and the acquisition equipment will be exposed to a fixed noise environment for a period of time. Therefore, the same wavelet denoising method can be used for noise reduction during this period. The integrated wavelet denoising algorithm is a method to help select the optimal wavelet denoising algorithm in the noise. By using the principle of temporal locality and the integrated wavelet denoising method, it is possible to find a suitable wavelet denoising algorithm for noise reduction while saving computing power.

[0043] In step S1, collecting the user's ECG signal data and performing noise reduction includes:

[0044] Step S11: The data collected within every n seconds is regarded as a data processing set. For example, we turn on the smart bracelet and the electrocardiogram acquisition device to start collecting data, and a total of N seconds of data is collected (n < N). During this process, the data collected every n seconds is regarded as a data segment. Throughout the process, there will be N / n data segments.

[0045] Step S12: Divide the n-second data segment into m parts, and each part in the m parts is called a data slice. The data slice is the basic unit for wavelet denoising processing.

[0046] Step S13: Process the data slice using the integrated wavelet denoising method to select the optimal wavelet denoising method.

[0047] Step S131: Three wavelet denoising algorithms with codes w1, w2, and w3 are pre-built in the device.

[0048] Step S132: Process the data slice using the three denoising methods respectively.

[0049] Step S1321: Perform wavelet decomposition on the electrocardiogram data.

[0050] Step S1322: Extract the wavelet coefficients of each scale, calculate the thresholds of each layer, and select the thresholds for denoising and reconstruction.

[0051] Step S1323: Evaluate the denoised data using SNR and output the SNR value.

[0052] Step S133: Compare the SNR values and select the denoising method with the larger SNR value as the optimal method.

[0053] Step S134: Output the data after denoising by the optimal method, and set the wavelet denoising algorithm that outputs the optimal data as the current wavelet denoising algorithm w.

[0054] Step S14: Continue to process the other data slices in the current data segment using the wavelet denoising algorithm w.

[0055] Step S15: After processing the current data segment, then process the next data segment. Jump to Step S12 and continue to process the next data segment using Step S12. Stop until the device is turned off and no data is input to the acquisition module.

[0056] For example: Turn on the ECG visualization device and collect a 20-second ECG data. Every 5 seconds of data is logically divided into a data segment, and every 1 second of data in this data segment is logically divided into a data slice. Use three wavelet denoising methods to process this data slice separately, and select the wavelet denoising method with the best effect to apply to other data slices in this data segment. This is because we assume that the noise environment is the same over a period of time based on the principle of locality, so the same wavelet denoising algorithm can be used to achieve the best denoising effect. When this data segment is processed, the next data segment will be processed in the same way until the device is turned off and no data is transmitted.

[0057] The noise-reduced or non-noise-reduced data are obtained, and these data are converted into electrical signals by the electrocardiogram conversion module and sent to the magnetic fluid control module.

[0058] In step S2, the electrocardiogram signal after noise reduction is converted into a current signal, specifically:

[0059] Set an upper threshold H and a lower threshold L to segment the data into segments of k seconds, and find the maximum value Dm and minimum value Dl in each segment. If Dm is greater than H, it will be converted into a high-level electrical signal. If Dl is lower than the lower threshold L, a high-level signal will also be output.

[0060] Step S21: When setting at the factory, the upper limit H and the lower limit L are preset;

[0061] Step S22: Receive k seconds of data and record the maximum and minimum values ​​using Dm and Dl;

[0062] Step S23: if Dm is greater than H, output a high level signal of b volts;

[0063] Step S24: if D1 is less than L, output a high level signal of b volts;

[0064] Step S25: Jump to step S22 and continue the whole process until no more ECG data is input.

[0065] For example: When the product leaves the factory, the technician sets the upper threshold to 1500 and the lower threshold to 800. Assuming that the data arriving within 1 second are 1239, 870, 3455, and 2345, obtain the maximum value 3455 and the minimum value 870 and record them. Since 3455 is greater than the upper threshold, a 5V high-level signal is output. The minimum value 870 is not less than 800, so no high-level signal is output.

[0066] In step S3, controlling the operating state of the magnetic fluid according to the electrical signal includes:

[0067] Step S31: obtaining the current signal after noise reduction processing and conversion;

[0068] Step S32: If the current signal is at a high level, the magnetic fluid is energized;

[0069] Step S33: If the current signal is at a low level, the magnetic fluid is powered off.

[0070] An 8-bit memory is provided in the magnetic fluid; the 8 bits of the memory correspond to an electromagnet respectively; when a certain bit is 1, the corresponding electromagnet is turned on, and when a certain bit is 0, the corresponding electromagnet is turned off.

[0071] A Original mode: In this mode, no processing is done on the electrical signal. The magnetic fluid control module turns on the current according to the original electrical signal pulse, and the current generates a magnetic field to control the movement of the magnetic fluid.

[0072] B Rhythm mode, in this mode, the built-in magnetic fluid exercise mode will be triggered according to the heart rate, as follows:

[0073] In step S4, according to the running state of the magnetic fluid, the corresponding display results in different heart rate ranges are obtained, specifically:

[0074] In the first mode, when the heart rate is between 60 and 80 beats per minute, the eight electromagnets that control the movement of the magnetic fluid will be powered on and off in a clockwise direction to generate or lose magnetism;

[0075] In the second mode, when the heart rate is between 80 and 100 per minute, four of the eight electromagnets that control the movement of the magnetic fluid will be randomly selected to be energized, and the remaining four will be de-energized, and so on, alternately energized;

[0076] In the third mode, when the heart rate is above 100 or below 60 beats per minute, the indicator light will light up red based on the original mode.

[0077] Embodiment 2

[0078] This embodiment provides an electrocardiogram signal visualization device, including:

[0079] An ECG processing module, configured to collect ECG signal data of a user and perform noise reduction;

[0080] The ECG conversion module is configured to convert the ECG signal after noise reduction into a current signal;

[0081] A magnetic fluid control module, configured to control the operation state of the magnetic fluid according to the electrical signal;

[0082] The ECG display module is configured to obtain corresponding display results within different heart rate ranges according to the operating state of the magnetic fluid.

[0083] This ECG signal visualization device is composed of a Bluetooth bracelet, a magnetic fluid container, and an ECG analysis and control system. The ECG analysis and control system includes an ECG processing module, an ECG conversion module, and a magnetic fluid control module. The ECG processing module includes an ECG acquisition module and a wavelet noise reduction module.

[0084] The entire process of using the ECG signal visualization device is to use Bluetooth to collect ECG data and transmit the ECG data to the ECG processing module in the ECG analysis and control system. The ECG acquisition module transmits the collected data to the wavelet noise reduction module, which performs noise reduction on it. The noise-reduced data will be converted into electrical signals by the ECG conversion module, and the electrical signals will be transmitted to the magnetic fluid control module to control the operation of the magnetic fluid. The specific steps are as follows:

[0085] The user wears a Bluetooth bracelet, turns on the Bluetooth bracelet and pairs it with the ECG signal visualization device.

[0086] The user's ECG data is transmitted to the ECG processing module via Bluetooth.

[0087] The wavelet denoising module logically divides the data into segments and slices according to the factory-set parameters, and denoises these segments and slices using a new integrated wavelet denoising algorithm based on the principle of locality.

[0088] The noise-reduced data is passed to the ECG conversion module. Based on the parameters set by the product at the factory, the ECG data is used to determine whether to output high-level signals or low-level signals to the magnetic fluid control module based on whether it exceeds the upper and lower thresholds.

[0089] The magnetic fluid control module decides to open or close the electromagnet according to the electrical signal from the previous module. The magnetic fluid control module also has the function of adjusting the magnetic fluid movement mode according to the heart rate. When a high-level signal is received, the magnetic fluid control module starts to operate according to the established mode.

[0090] The magnetic fluid is attracted by the electromagnet and starts to move.

[0091] It should be noted that the examples and application scenarios implemented by the above modules and corresponding steps are the same, but are not limited to the contents disclosed in the above embodiment 1. It should be noted that the above modules as part of the system can be executed in a computer system such as a set of computer executable instructions.

[0092] Embodiment 3

[0093] This embodiment provides a computer-readable storage medium on which a computer program is stored. When the program is executed by a processor, the steps in the electrocardiogram signal visualization method described in the first embodiment are implemented.

[0094] Embodiment 4

[0095] This embodiment provides a computer device, including a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the program, the steps in the electrocardiogram signal visualization method described in the first embodiment are implemented.

[0096] Those skilled in the art will appreciate that embodiments of the present invention may be provided as methods, systems, or computer program products. Therefore, the present invention may take the form of hardware embodiments, software embodiments, or embodiments combining software and hardware. Furthermore, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage and optical storage, etc.) containing computer-usable program code.

[0097] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0098] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture including an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0099] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0100] A person skilled in the art can understand that all or part of the processes in the above-mentioned embodiments can be implemented by instructing the relevant hardware through a computer program, and the program can be stored in a computer-readable storage medium, and when the program is executed, it can include the processes of the embodiments of the above-mentioned methods. The storage medium can be a disk, an optical disk, a read-only memory (ROM) or a random access memory (RAM), etc.

[0101] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. For those skilled in the art, the present invention may have various modifications and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. A method for visualizing an electrocardiogram signal, characterized in that: include: Collect the user's ECG signal data and perform noise reduction; Convert the ECG signal after noise reduction into a current signal; Control the running state of magnetic fluid according to the electrical signal; According to the running state of the magnetic fluid, the corresponding display results in different heart rate ranges are obtained; The noise reduction adopts a novel wavelet noise reduction algorithm; The novel wavelet denoising algorithm combines the temporal locality principle with the integrated wavelet denoising method to generate an algorithm for dealing with complex noise environments; The collecting of the user's ECG signal data and performing noise reduction comprises: Step 1: Collect the user's ECG signal data by connecting to the Bluetooth bracelet worn by the user; Step 2: Set the ECG signal data within a certain period of time as a data segment; Step 3: setting the ECG signal data of each time unit in the current data segment as a data slice; Step 4: Select three wavelet denoising methods to denoise a data slice respectively, and select the wavelet denoising method with the best denoising effect; Step 5: Use the optimal wavelet denoising method to process the remaining data slices; Step 6: Repeat steps 3 to 5 to perform noise reduction on the remaining data segments; The step of converting the noise-reduced ECG signal into a current signal is specifically as follows: Step 1: Pre-set the upper bound H and lower bound L; Step 2: Receive k seconds of data and record the maximum and minimum values ​​using Dm and Dl; Step 3: If Dm is greater than H, output a high level signal of b volts; Step 4: If Dl is less than L, output a low level signal of b volts; Step 5: Jump to step 2 and continue the whole process until there is no ECG data input; The controlling the running state of the magnetic fluid according to the electrical signal comprises: Obtaining the current signal after noise reduction processing and conversion; If the current signal is at a high level, the magnetic fluid is energized; If the current signal is at a low level, the magnetic fluid is powered off.

2. The method for visualizing an electrocardiogram signal according to claim 1, characterized in that: In step 4, three wavelet denoising methods are selected to perform denoising on a certain data slice respectively, and the wavelet denoising method with the best denoising effect is selected, including: Step 41: performing wavelet decomposition on the collected ECG signal data; Step 42: extract the wavelet coefficients of each scale, calculate the threshold of each layer, and select the threshold for denoising and reconstruction; Step 43: Evaluate the denoised data using SNR and output the SNR value; Step 44: Compare the SNR values ​​and select the denoising method with the larger SNR value as the optimal wavelet denoising method.

3. The electrocardiogram signal visualization method according to claim 1, characterized in that: An 8-bit memory is provided in the magnetic fluid; The 8 bits of the memory correspond to an electromagnet respectively; When a bit is 1, the corresponding electromagnet is turned on, and when a bit is 0, the corresponding electromagnet is turned off.

4. The method for visualizing an electrocardiogram signal according to claim 1, characterized in that: According to the running state of the magnetic fluid, the corresponding display results in different heart rate ranges are obtained, specifically: In the first mode, when the heart rate is between 60 and 80 beats per minute, the eight electromagnets that control the movement of the magnetic fluid will be powered on and off in a clockwise direction to generate or lose magnetism; In the second mode, when the heart rate is between 80 and 100 per minute, four of the eight electromagnets that control the movement of the magnetic fluid will be randomly selected to be powered on, and the remaining four will be powered off, and so on, alternately powered on; In the third mode, when the heart rate is above 100 or below 60 beats per minute, the indicator light will light up red based on the original mode.

5. An electrocardiogram signal visualization device, characterized in that: include: An ECG processing module, configured to collect ECG signal data of a user and perform noise reduction; The ECG conversion module is configured to convert the ECG signal after noise reduction into a current signal; A magnetic fluid control module, configured to control the operation state of the magnetic fluid according to the electrical signal; The ECG display module is configured to obtain corresponding display results within different heart rate ranges according to the operating state of the magnetic fluid; The noise reduction adopts a novel wavelet noise reduction algorithm; The novel wavelet denoising algorithm combines the temporal locality principle with the integrated wavelet denoising method to generate an algorithm for dealing with complex noise environments; The collecting of the user's ECG signal data and performing noise reduction comprises: Step 1: Collect the user's ECG signal data by connecting to the Bluetooth bracelet worn by the user; Step 2: Set the ECG signal data within a certain period of time as a data segment; Step 3: setting the ECG signal data of each time unit in the current data segment as a data slice; Step 4: Select three wavelet denoising methods to denoise a data slice respectively, and select the wavelet denoising method with the best denoising effect; Step 5: Use the optimal wavelet denoising method to process the remaining data slices; Step 6: Repeat steps 3 to 5 to perform noise reduction on the remaining data segments; The step of converting the noise-reduced ECG signal into a current signal is specifically as follows: Step 1: Pre-set the upper bound H and lower bound L; Step 2: Receive k seconds of data and record the maximum and minimum values ​​using Dm and Dl; Step 3: If Dm is greater than H, output a high level signal of b volts; Step 4: If Dl is less than L, output a low level signal of b volts; Step 5: Jump to step 2 and continue the whole process until there is no ECG data input; The controlling the running state of the magnetic fluid according to the electrical signal comprises: Obtaining the current signal after noise reduction processing and conversion; If the current signal is at a high level, the magnetic fluid is energized; If the current signal is at a low level, the magnetic fluid is powered off.

6. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the program is executed by a processor, the steps in the electrocardiogram signal visualization method according to any one of claims 1 to 4 are implemented.

7. A computer device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the program, the steps of the electrocardiogram signal visualization method according to any one of claims 1 to 4 are implemented.

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