An intelligent terminal for removing vehicle motion noise from electrocardiographic signals

Abstract

The invention discloses an intelligent terminal for removing electrocardiosignal vehicle motion noise. The intelligent terminal comprises a processor and a Bluetooth communication unit. The processor is loaded with a signal collection module, a preprocessing module, a neural network training module and a denoising module. According to the intelligent terminal, a three-axis acceleration sensor is utilized for collecting motion data as a neural network input sample, dynamic electrocardiogram data of a human body in static and moving states is preprocessed before neural network training through a format conversion and normalization method, the difference between the dynamic electrocardiogram data in the static state and the dynamic electrocardiogram data in the moving state is used for monitoring a neural network, then an artificial neural network learning algorithm is used for establishing a noise model in a proportional conjugate gradient optimizing mode, corresponding motion noise is subtracted by the dynamic electrocardiogram data obtained by monitoring, and denoising is completed. The whole equipment is simple, convenient to use and easy to realize, the vehicle motion noise can be removed automatically and effectively in the electrocardiogram monitoring process, precise electrocardiogram data can be obtained, and a guarantee is provided for diagnosis and treatment of cardiovascular diseases by a doctor.

Description

technical field [0001] The invention belongs to the technical field of medical equipment, and in particular relates to an intelligent terminal for removing vehicle motion noise from electrocardiographic signals. 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 p...

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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