Segmentation method of periodic signal and application

By using a periodic signal segmentation method, feature points are connected to form dividing lines, which separates and eliminates noise interference signals, improving the accuracy and reliability of physiological signals. This solves the portability and accuracy problems of signal monitoring in wearable devices and is suitable for long-term monitoring of home-use wearable medical devices and telemedicine.

CN116999021BActive Publication Date: 2026-06-19CHENGDU XINJIKANG TECH CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
CHENGDU XINJIKANG TECH CO LTD
Filing Date
2022-04-29
Publication Date
2026-06-19

AI Technical Summary

Technical Problem

Existing hospital diagnostic and monitoring equipment and wearable devices suffer from problems such as poor portability, inability to monitor physiological signals over long periods, limited real-time transmission, and low signal accuracy due to noise interference, which affect diagnostic results.

Method used

The periodic signal segmentation method is adopted. By extracting feature points to form feature segmentation lines, the signal is divided into multiple regions. Signal regions that do not meet the preset conditions are excluded, and regions with good signal quality are retained. In particular, for PPG signals, segmentation is performed by connecting peaks, troughs and baseline points to form segmentation lines.

Benefits of technology

It improves the accuracy and reliability of physiological signals, enhances the monitoring effect of wearable devices, and is suitable for long-term real-time transmission of home-use wearable medical monitoring devices and telemedicine.

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Abstract

This invention provides a method for segmenting periodic signals and its application in PPG signals. The method involves acquiring a target periodic signal segment, extracting feature points from each periodic signal, connecting these feature points to form feature segmentation lines, and using these lines to divide the signal into different signal segments. Invalid signal segments are then eliminated based on preset conditions, while valid signal segments are retained. When applied to PPG signals, feature points such as peaks, troughs, and baselines can be extracted. The signal to be segmented can be either a bandpass-filtered noise signal or the PPG signal itself. Different signal filtering rules are set based on different signals to be segmented and different feature point selections to eliminate invalid signals and increase the proportion of valid signals acquired by wearable devices.
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