Multi-lead heart rate monitoring method and wearable device

By determining and combining the signal quality of multi-lead ECG signals, a standard ECG signal is formed and QRS wave group detection is carried out, the existing multi-lead heart rate monitoring method is solved, and efficient and accurate heart rate monitoring is achieved.

CN119791673APending Publication Date: 2025-04-11CHENGDU XINJIKANG TECH CO LTD
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Patent Information

Application Number
CN202411867624.3
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-12-18
Publication Date
2025-04-11

AI Technical Summary

Technical Problem

When detecting heart rate, the existing multi-lead heart rate monitoring method takes time to calculate, has low analysis efficiency, and the combined algorithm strategy is complex, and it relies on artificial experience, and the results are good or bad rely on human experience.

Method used

The multi-lead heart rate monitoring method is used to obtain the multi-lead ECG signal and perform band-pass filtering to determine the signal quality of the ECG signal in each lead, select the effective signal segment and merge it into a standard ECG signal, and then perform QRS wave group detection to obtain the heart rate value.

Benefits of technology

It improves the accuracy and efficiency of heart rate monitoring, reduces calculation time, reduces dependence on human experience, and meets real-time requirements.

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Abstract

The invention provides a multi-lead heart rate monitoring method and wearable device.The multi-lead wearable device collects signals and conducts band-pass filtering, then signal quality judgment is conducted on electrocardiosignals of each lead, segments meeting the signal quality are effective signal segments, and segments not meeting the signal quality are interference signal segments; selecting the effective signal sections in each lead, and combining the effective signal sections into a continuous standard electrocardiosignal by taking time as length; and finally, performing QRS wave group detection on the standard electrocardiosignal, and obtaining a heart rate value of the standard electrocardiosignal. According to the method, the heart rate monitoring accuracy and the calculation efficiency can be effectively improved, and the high-real-time electrocardiogram monitoring requirements of all scenes are met.
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