ECG lead intelligent selection method and system

Abstract

The present invention relates to a method and system for intelligently selecting ECG leads. The method comprises the following steps: performing feature extraction on ECG lead signals acquired in the same time period to obtain global feature quantities of each ECG lead signal; The maximum value of the integrated wave of the joint signal and the pooled local feature quantity are used to classify the corresponding ECG lead signal, and the signal quality level of each ECG lead signal is obtained. Extract the maximum value of the integrated wave of the ECG lead signals of different signal quality levels and the pooled local feature quantity to train the quality classifier; filter each ECG lead signal according to the quality classifier, and obtain and output the optimal cardiac conductance connection signal. The embodiment of the present invention can well reflect the sudden change of the signal at a local time, and the accuracy is high. The whole process does not require personnel to intervene, saving time and human resources, and the judgment of signal quality and the identification of leads can be completed before QRS detection. Choose to save computation.

Description

technical field [0001] The invention relates to the technical field of medical monitoring, in particular to a method and system for intelligently selecting ECG leads. Background technique [0002] The monitoring and analysis of ECG signals is an important function of monitors, electrocardiographs and other instruments. The acquisition of ECG signals is usually performed simultaneously on multiple leads. For the collected multi-lead signals, the instrument usually only selects the signal of one lead for subsequent analysis, such as QRS (magnetic resonance angiography, magnetic resonance angiography) detection Wait. If the electrodes of the leads used for analysis are not in good contact with the human body, the collected ECG signals will be severely disturbed. [0003] The traditional ECG lead intelligent selection method is to calculate several characteristic quantities on a length of signal, and then compare with the preset empirical parameters to judge the quality of the...

AI Technical Summary

Problems solved by technology

The feature quantity obtained from a length of signal is difficult to reflect the short-term mutation of the signal, the workload of manually setting parameters is large, and the generalization ability is not strong. In addition, QRS detection is required to complete the judgment and guidance of signal quality. link selection

The traditional ECG lead intelligent selection method has the disadvantage of low accuracy

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