Electrocardiogram artifact analysis method based on optimal scoring strategy

Abstract

According to the electrocardiogram artifact analysis method based on the optimal scoring strategy, electrocardiogram artifacts with short duration caused by poor electrode contact, muscle vibration and movement interference introduced in activities can be automatically recognized, and the working efficiency of technicians is greatly improved. According to the technical scheme, the feature inflection points are found in the heart beat sample to be analyzed, the feature inflection points with the features of the Q point, the S point, the T starting point and the T ending point are found in all the feature inflection points, and the feature inflection points which do not conform to the QST combination position features are deleted. All feature inflection point combinations strictly conforming to the features between the Q point and the S point, the features between the S point and the T point and the features between the T starting point and the T ending point at the same time are found, and finally based on feature parameters such as the sharp incisura number of each combination, scoring is conducted through a scoring function, and the electrocardiograph artifacts are found.

Description

technical field [0001] The invention relates to the technical field of medical artificial intelligence, in particular to an electrocardiogram artifact analysis method based on an optimal scoring strategy. Background technique [0002] ECG artifact refers to ECG changes that result from non-cardiac excitation. During the acquisition of dynamic ECG data, the examiner is in a constantly changing daily life. Because of baseline drift, power frequency interference, poor electrode contact, muscle tremor, and motion interference introduced in activities, the ECG data is vulnerable to a large number of occurrences. Artifact data. For the artifacts caused by baseline drift and power frequency interference, such artifacts have a long duration and can show certain statistical laws. Through traditional digital signal filtering preprocessing and feature analysis algorithms, these artifacts can be well eliminated or marked. Artifact time period. However, for short-term artefacts such a...

AI Technical Summary

Problems solved by technology

[0003] In order to solve the problem that the existing technology cannot automatically identify short-term ECG artifacts caused by poor electrode contact, muscle tremors, and motion interference introduced during activities, the present invention provides an ECG artifact analysis method based on an optimal scoring strategy. It can automatically identify short-term ECG artifacts caused by poor electrode contact, muscle tremors, and motion interference introduced during activities, which greatly improves the work efficiency of technicians

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