Electrocardiogram monitoring system with electrocardiosignal denoising function

Abstract

The invention discloses an electrocardiogram monitoring system with an electrocardiosignal denoising function. The system comprises a three-axis acceleration sensor, an electrocardiogram monitor and an intelligent terminal. Movement data is collected by the three-axis acceleration sensor to be used as an input sample of a neural network; dynamic electrocardiogram data of a human body in the static and movement state is pretreated before neural network training through format conversion and normalization methods, and the deviation is used as supervision of the neural network, then, an artificial neural network learning algorithm is used for determining a noise model in a proportion conjugate gradient optimization mode, and the corresponding movement noise is subtracted from dynamic electrocardiogram data obtained through monitoring, so that denoising is finished. The whole system is simple, convenient and easy to achieve and capable of effectively removing vehicle movement noise in the electrocardiogram monitoring process to obtain accurate electrocardiogram data, and provides a guarantee for cardiovascular disease diagnosis and treatment.

Description

technical field [0001] The invention belongs to the technical field of medical equipment, and in particular relates to an electrocardiogram monitoring system with an electrocardiogram signal denoising function. Background technique [0002] Dynamic electrocardiogram is used to continuously record 24-hour dynamic electrocardiographic activity data, including electrocardiographic activity data under different conditions such as rest, activity, work, and meal, which can help to find symptoms such as arrhythmia and myocardial ischemia, and provide clinical analysis and provide an important basis for diagnosis and treatment. With the emergence of portable and wearable ECG monitoring devices, users can perform very convenient ECG monitoring in various states. However, dynamic ECG signals are easily interfered by various noises. The main disturbances include AC interference, EMG interference, baseline drift, wrong connection of lead wires, insufficient contact between electrode pa...

AI Technical Summary

Problems solved by technology

[0005] At present, most of the portable Holter monitors on the market have a simple structure and do not have the function of eliminating vehicle motion noise. When used in the state of vehicle motion, they are easily disturbed and the Holter signal is unstable. The recorded ECG waveform cannot be used for ECG analysis. It not only limits the scope of use of dynamic ECG monitoring equipment, but also may cause serious consequences for doctors in the diagnosis and treatment of patients with cardiovascular diseases

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