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Electrocardiograph signal baseline filtering method

A technique for baseline filtering, electrocardiography

Inactive Publication Date: 2018-02-16
HUBEI UNIV OF SCI & TECH
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  • Abstract
  • Description
  • Claims
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Problems solved by technology

These algorithms have their own advantages and disadvantages, and their use depends on the specific situation. For example, the algorithm complexity of the classic filter is not high, and it is relatively simple to implement, but the filtering effect cannot meet the ideal requirements, so too inefficient

Method used

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  • Electrocardiograph signal baseline filtering method
  • Electrocardiograph signal baseline filtering method
  • Electrocardiograph signal baseline filtering method

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Embodiment Construction

[0029] The following are specific embodiments of the present invention and in conjunction with the accompanying drawings, the technical solutions of the present invention are further described, but the present invention is not limited to these embodiments.

[0030] Eliminate baseline drift using mathematical morphology:

[0031] Let f(n), (n=0, 1,..., N-1) and k(m) (m=0, 1,..., M-1) be one-dimensional discrete functions, N>M, where f (n) is the signal sequence to be processed, k(m) is the sequence of structural elements; the corrosion operation of f(n) on k(m) is defined as:

[0032]

[0033] The expansion operation of f(n) with respect to k(m) is defined as:

[0034]

[0035] These two basic operations can be composed of opening operation and closing operation. Among them, the opening operation is defined as the expansion operation after the signal is corroded by the structural elements, which is denoted as °, that is (f°k)(n)=(fΘk⊕k )(n); the closing operation is def...

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Abstract

The invention provides an electrocardiograph signal baseline filtering method, and belongs to the technical field of electrocardiographs. The method solves the technical problem that existing electrocardiograph filtering methods are low in efficiency. On the basis of a principle of a mathematical morphology filtering method, baseline drift is removed; in the process of filtering out the baseline drift, erosion operation, dilation operation, opening operation and closing operation are mainly used; the most basic concept of mathematical morphology is a structural element equivalent to a probe which is constantly moved for matching; under the situation that the data amount is not large, the baseline drift can be removed quickly and thoroughly, and signals with the frequency about 10 Hz are removed by a Butterworth filter. The electrocardiograph signal baseline filtering method has the advantages that the filtering efficiency is high.

Description

technical field [0001] The invention belongs to the technical field of electrocardiograms and relates to a baseline filtering method for electrocardiogram signals. Background technique [0002] QRS complex is the most obvious feature of electrocardiogram (ECG) signal, and its real-time and accurate detection is the basic requirement of ECG equipment. However, due to the voluntary or involuntary movement of the human body and other errors, the ECG leads will drift up and down, which is the baseline drift. Baseline drift not only causes inconvenience to the judgment of ECG signal visually, but also brings great interference to the detection of its characteristic wave group QRS. [0003] Normally, the ECG signal amplitude of ordinary normal people is between 10uV ~ 5mV, and the frequency range is 0.15Hz ~ 150Hz, and more than 90% of the ECG signal energy is concentrated between 0.25Hz ~ 35Hz. The ECG signal is characterized by low intensity and low frequency, and various type...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): A61B5/0472A61B5/366
CPCA61B5/7203A61B5/7225A61B5/366
Inventor 文峰
Owner HUBEI UNIV OF SCI & TECH
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