Electrocardiosignal denoising method and device

Abstract

The invention discloses an electrocardiosignal denoising method. The electrocardiosignal denoising method includes the steps that when electrocardiosignals are obtained, high frequency regions and low frequency regions of the electrocardiosignals are determined; the electrocardiosignals are filtered through a first filter, and mathematical expressions of power frequency interference signals in various low frequency region signal sections are fitted out according to interference signals filtered out by the first filter; subtraction processing is conducted on the electrocardiosignals in various high frequency region signal sections and the power frequency interference signals fitted out through the adjacent low frequency region signal sections; low frequency region signals obtained after filtering and high frequency region signals obtained after subtraction processing are spliced in an original sequence; the spliced electrocardiosignals are subjected to high frequency filtering processing through a second filter. The invention further discloses an electrocardiosignal denoising device. The electrocardiosignal denoising method and device have the advantages that the power frequency interference signals and other high frequency interference signals in the electrocardiosignals are filtered out, inherent high frequency components of QRS wave groups are reserved, and the degree of distortion is low.

Description

technical field [0001] The invention relates to the field of medical technology, in particular to a method and device for denoising electrocardiographic signals. Background technique [0002] Heart disease is one of the diseases with the highest morbidity and mortality rate today, and the prevention and diagnosis of heart disease has become an important issue in today's medical field. For a century, electrocardiogram technology has been used as an important means of heart disease diagnosis because of its advantages of simple operation method and no invasive damage to patients. [0003] ECG diagnosis is based on the ECG waveform, so the signal quality is particularly critical. ECG signals are often accompanied by various noise signals such as power frequency interference, baseline drift, and myoelectric interference. Strong signal interference will seriously affect the diagnosis of ECG. [0004] At present, there are many methods for denoising ECG signals, which can be roug...

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Problems solved by technology

[0006] The main purpose of the present invention is to provide a method and device for denoising ECG signals, aiming to solve the problems of severe distortion of QRS wave groups and loss of inherent high-frequency components when common ECG filtering algorithms process ECG signals, so as to accurately filter out Power frequency interference and other high frequency interference signals in ECG signals

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