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采用振荡小波模式法从心电图和光电容积脉搏波信号中连续估计心率变异性

Continuous Estimation of Heart Rate Variability from Electrocardiogram and Photoplethysmogram Signals with Oscillatory Wavelet Pattern Method.

作者信息

Zhuravlev Maksim O, Runnova Anastasiya E, Mironov Sergei A, Zhuravleva Julia A, Kiselev Anton R

机构信息

Coordinating Center for Fundamental Research, National Medical Research Center for Therapy and Preventive Medicine, 101990 Moscow, Russia.

Department of Biophysics and Digital Technologies, Saratov State Medical University, 410012 Saratov, Russia.

出版信息

Sensors (Basel). 2025 Sep 3;25(17):5455. doi: 10.3390/s25175455.

DOI:10.3390/s25175455
PMID:40942884
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12431279/
Abstract

: In this paper, we propose a novel approach to heart rate (HR) detection based on the evaluation of oscillatory patterns of continuous wavelet transform as a method of time-frequency analysis. HR detection based on electrocardiogram (ECG) or photoplethysmogram (PPG) signals can be performed using the same technique. : The developed approach was tested on ECG (lead V1) and PPG (standard recording on the ring finger of the left hand and differential signal) for 10 min in 40 generally healthy volunteers (aged 26.8 ± 3.22 years). A comparison was made with the traditional HR detection method based on R-peak shape analysis. : Based on a number of statistical evaluations, the comparison yielded an acceptable degree of agreement between the results of the proposed method and the traditional method (the discrepancy between the results did not exceed 3.41%). The distortion of the signal shape and its noise do not affect the quality of HR detection by the proposed method; so, additional filtering or changes in the implemented algorithm are not required, as demonstrated by processing both the differential PPG signal and the PPG signals recorded during the patient's walking. : The proposed method allows obtaining HR information with a higher equidistant sampling frequency and expansion of the information on the frequency composition of HRV.

摘要

在本文中,我们提出了一种基于连续小波变换振荡模式评估的心率(HR)检测新方法,将其作为一种时频分析方法。基于心电图(ECG)或光电容积脉搏波描记图(PPG)信号的心率检测可使用相同技术。所开发的方法在40名一般健康志愿者(年龄26.8±3.22岁)身上,对心电图(V1导联)和光电容积脉搏波描记图(左手无名指标准记录及差分信号)进行了10分钟测试。与基于R波峰形状分析的传统心率检测方法进行了比较。基于多项统计评估,比较结果表明所提方法与传统方法的结果之间具有可接受的一致性程度(结果差异不超过3.41%)。信号形状的失真及其噪声不会影响所提方法进行心率检测的质量;因此,如对差分光电容积脉搏波描记图信号和患者行走期间记录的光电容积脉搏波描记图信号进行处理所示,无需额外滤波或改变所实施的算法。所提方法允许以更高的等距采样频率获取心率信息,并扩展心率变异性频率组成方面的信息。

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