Baseline drift and high-frequency noise removal method, device and equipment
A technology of baseline drift and high-frequency noise, which is applied in the field of signal processing, can solve problems such as long calculation time, and achieve the effect of shortening calculation time
Active Publication Date: 2021-08-24
INST OF APPLIED MATHEMATICS HEBEI ACADEMY OF SCI
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[0005]Therefore, the technical problem to be solved by the present invention is to provide a method, device and equipment for removing baseline drift and high-frequency noise, so as to solve the need in the prior art Long calculation time to remove baseline drift and high-frequency noise problems
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[0102] In the following description, specific details such as specific system structures and technologies are presented for the purpose of illustration rather than limitation, so as to thoroughly understand the embodiments of the present invention. It will be apparent, however, to one skilled in the art that the invention may be practiced in other embodiments without these specific details. In other instances, detailed descriptions of well-known systems, devices, circuits, and methods are omitted so as not to obscure the description of the present invention with unnecessary detail.
[0103] In order to illustrate the technical solutions of the present invention, specific examples are used below to illustrate.
[0104] At present, methods for removing baseline offset and high-frequency noise mainly include wavelet transform, morphological operations, and filters. When processing ECG signals, baseline drift and high-frequency noise need to be removed separately. However, when r...
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The invention is suitable for the technical field of signal processing, and provides a baseline drift and high-frequency noise removing method, device and equipment, and the baseline drift and high-frequency noise removing method comprises the following steps: according to the preset baseline drift frequency and the sampling frequency of electrocardiosignals, determining the decomposition stage number of the electrocardiosignals collected in advance; acquiring a preset noise value; according to the decomposition series, decomposing all data of the electrocardiosignal according to a preset noise value to obtain a low-frequency electrocardiosignal component and a high-frequency electrocardiosignal component of all the data; expanding the low-frequency electrocardiosignal component to obtain a baseline drift component; reconstructing the low-frequency electrocardiosignal component and the high-frequency electrocardiosignal component to obtain a recombination component without high-frequency noise; and removing the baseline drift component in the recombination component to obtain an electrocardiosignal without baseline drift and high-frequency noise. According to the invention, high-frequency noise can be removed while baseline drift is removed, and the processing speed is improved.
Description
technical field [0001] The invention relates to the technical field of signal processing, in particular to a method, device and equipment for removing baseline drift and high-frequency noise. Background technique [0002] Electrocardiogram (ECG) is a weak low-frequency physiological electrical signal, usually with a frequency of 0.05-100Hz and an amplitude of no more than 4mV. As a component of vital sign signal parameters, it is one of the important physiological electrical signals. ECG signals contain a large amount of information for clinical diagnosis of cardiovascular diseases, and are an important means to understand the function and condition of the heart, assist in the diagnosis of cardiovascular diseases, and evaluate the effectiveness of various treatment methods. [0003] During the acquisition process of human ECG signal data, due to the influence of factors such as acquisition, respiration and muscle signals, there are usually interferences such as baseline drif...
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IPC IPC(8): A61B5/318A61B5/346A61B5/00
CPCA61B5/7203A61B5/7235
Inventor 李晓云王怀瑞赵环宇史玉盼慕晓蕾
Owner INST OF APPLIED MATHEMATICS HEBEI ACADEMY OF SCI