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Waveform identification method, device and equipment for electrocardiogram waveform signal

A waveform signal and waveform recognition technology, which is applied in the field of data processing, can solve the problems of complex waveform recognition process and inaccurate ECG waveform signal recognition results, and achieve the effect of reducing complexity and difficulty

Pending Publication Date: 2021-11-16
NEUSOFT CORP
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AI Technical Summary

Problems solved by technology

[0003] At present, the waveform recognition process of ECG waveform signal is complicated and the recognition result of ECG waveform signal is not accurate enough

Method used

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  • Waveform identification method, device and equipment for electrocardiogram waveform signal
  • Waveform identification method, device and equipment for electrocardiogram waveform signal
  • Waveform identification method, device and equipment for electrocardiogram waveform signal

Examples

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specific Embodiment approach

[0075] In a possible implementation, the embodiment of the present application provides a classification result of whether each sampling point in the input waveform signal is heartbeat data, and at least one heartbeat waveform of a second preset length is determined from the ECG waveform signal The specific implementation of the signal includes:

[0076] Extracting at least one complete heartbeat signal from the ECG waveform signal according to the classification result of whether each sampling point in the input waveform signal is heartbeat data;

[0077] According to each complete cardiac beat signal, a cardiac beat waveform signal of a second preset length is intercepted from the ECG waveform signal.

[0078] It should be noted that, after determining whether each sampling point in the ECG waveform signal is the classification result of heartbeat data according to the classification result of whether each sampling point in the input waveform signal is heartbeat data, from a...

example 1

[0081] Example 1, if the second preset length is less than the length of a complete heartbeat signal, the heartbeat waveform signal is similar to a complete heartbeat, including a complete heartbeat signal minus a small amount of left and right heartbeat data. At this time, a small amount of heartbeat data that is not divided into heartbeat waveform signals in the complete heartbeat will not be input into the subsequent waveform recognition model for recognition. For example, the length of the complete heartbeat signal is 300 sampling points, and the heartbeat waveform signal of the second preset length is 256 sampling points. The 44 sampling points that are not divided into heartbeat waveform signals in the complete heartbeat signal will not be input into the subsequent waveform recognition model. The classification result is identified as non-heartbeat data.

[0082] In this example, the heartbeat waveform signal is similar to a complete heartbeat, and the data contained in...

example 2

[0083] Example 2, if the second preset length is greater than the length of the complete heartbeat signal, the heartbeat waveform signal is similar to a complete heartbeat, including a complete heartbeat signal plus a small amount of non-heartbeat data. For example, the length of the complete heartbeat signal is 200 sampling points, and the heartbeat waveform signal of the second preset length is 256 sampling points. The length of the complete heartbeat signal is less than the second preset length. At this time, 200 sampling points in the complete heartbeat signal plus 56 sampling points of a small amount of non-heartbeat data need to be used as the heartbeat waveform signal.

[0084] In this example, the heartbeat waveform signal includes a complete heartbeat signal and a small amount of non-heartbeat data. Compared with directly inputting the ECG waveform signal into the waveform recognition model for waveform recognition, inputting the heartbeat waveform signal including th...

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Abstract

The embodiment of the invention discloses a waveform recognition method, device and equipment for an electrocardio waveform signal, and the method comprises the steps: obtaining the electrocardio waveform signal, and intercepting at least one input waveform signal with a first preset length from the electrocardio waveform signal; and inputting the input waveform signal into a heart beat recognition model to recognize whether each sampling point in the input waveform signal is heart beat data or not; and determining at least one cardiac beat waveform signal with a second preset length from the electrocardio waveform signal based on a classification result of whether each sampling point is the cardiac beat data or not; and inputting the heart beat waveform signal into the waveform identification model, and obtaining a waveform classification result of each sampling point in the heart beat waveform signal output by the waveform identification model. The sampling points in the heart beat waveform signals input into the waveform recognition model form a similar complete heart beat, so that the waveform recognition model can conveniently recognize various waveforms, the waveform recognition complexity of the electrocardio waveform signals is reduced, and the waveform recognition accuracy of the electrocardio waveform signals is improved.

Description

technical field [0001] The present application relates to the field of data processing, in particular to a waveform recognition method, device and equipment for ECG waveform signals. Background technique [0002] The ECG waveform signal is generated by monitoring the beating process of the patient's heart to represent the beating condition of the patient's heart. The waveform of the ECG waveform signal is identified, and waveforms in the ECG waveform signal, such as P wave, QRS wave group, and T wave, are obtained. By analyzing different waveforms in the ECG waveform signal, the cardiovascular health of the patient can be known. [0003] At present, the waveform identification process of the ECG waveform signal is complicated and the identification result of the ECG waveform signal is not accurate enough. Therefore, how to reduce the complexity of the waveform recognition of the ECG waveform signal and improve the accuracy of the waveform recognition result of the ECG wave...

Claims

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Application Information

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IPC IPC(8): A61B5/346A61B5/00
CPCA61B5/346A61B5/7267
Inventor 王海永吴庆贺任丽任善多廖锐张春龙
Owner NEUSOFT CORP
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