Coronary heart disease electrocardiogram screening system and method based on residual neural network
A neural network and electrocardiogram technology, used in medical science, diagnostic signal processing, sensors, etc., can solve the problems of inability to process structured data, insufficient model accuracy, insufficient scalability and scalability, and achieve good scalability and practicality. Strong and accurate effect
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[0036] The present invention will be described in detail below in conjunction with specific embodiments. The following examples will help those skilled in the art to further understand the present invention, but do not limit the present invention in any form. It should be noted that those skilled in the art can make several changes and improvements without departing from the concept of the present invention. These all belong to the protection scope of the present invention.
[0037] A kind of coronary heart disease electrocardiogram screening system based on residual neural network provided by the present invention comprises:
[0038] ECG signal processing module: extract the ECG signal generated by the ECG machine, use symlets4 wavelet to perform multi-layer decomposition and denoising of the ECG signal, find the position of the R wave in the ECG sequence data converted from the ECG signal, and use it as a reference Heart beat split. The present invention uses a large amou...
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