Spectral coherence as a method for evaluating adaptive filtering techniques in photoplethysmography

IF 1.3 4区 工程技术 Q3 COMPUTER SCIENCE, INFORMATION SYSTEMS
Minerva Guadalupe Vázquez Domínguez;Juan Gerardo Ávalos Ochoa;Juan Carlos Sánchez García;Brayans Becerra Luna
{"title":"Spectral coherence as a method for evaluating adaptive filtering techniques in photoplethysmography","authors":"Minerva Guadalupe Vázquez Domínguez;Juan Gerardo Ávalos Ochoa;Juan Carlos Sánchez García;Brayans Becerra Luna","doi":"10.1109/TLA.2025.10930368","DOIUrl":null,"url":null,"abstract":"In this study, we introduce a method that utilizes spectral coherence as a metric for assessing the restoration of the photoplethysmographic (PPG) pulse signal morphology when filtering myokinetic noise using adaptive filtering techniques. Unlike other approaches that simply focus on detecting peaks and valleys after filtering, our research concentrates on recovering most of the components of the PPG pulse curve, as these reveal highly important information about cardiovascular health status, and which is essential for a proper diagnosis. To record PPG signals, a photoplethysmography system was placed on both hands of the subjects. On one hand, a three-axis accelerometer was also attached to capture the myokinetic motion, while the other hand remained stationary, allowing the PPG system to record a motion-free signal. After capturing the PPG signals with and without motion, we conducted an analysis by calculating the spectral coherence of the contaminated and recovered signals after adaptive filtering. We compared noisy PPG signals with the reference signal (myokinetic motion-free PPG signal). Based on the spectral coherence criterion, the affine projection algorithm and the variable step-size affine projection algorithm were found to be the most effective for filtering a PPG signal contaminated by myokinetic noise, achieving similarity scores of 94.25% and 94.67%, respectively, between the filtered signal and the motion-free pulse signal.","PeriodicalId":55024,"journal":{"name":"IEEE Latin America Transactions","volume":"23 4","pages":"274-284"},"PeriodicalIF":1.3000,"publicationDate":"2025-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10930368","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Latin America Transactions","FirstCategoryId":"5","ListUrlMain":"https://ieeexplore.ieee.org/document/10930368/","RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"COMPUTER SCIENCE, INFORMATION SYSTEMS","Score":null,"Total":0}
引用次数: 0

Abstract

In this study, we introduce a method that utilizes spectral coherence as a metric for assessing the restoration of the photoplethysmographic (PPG) pulse signal morphology when filtering myokinetic noise using adaptive filtering techniques. Unlike other approaches that simply focus on detecting peaks and valleys after filtering, our research concentrates on recovering most of the components of the PPG pulse curve, as these reveal highly important information about cardiovascular health status, and which is essential for a proper diagnosis. To record PPG signals, a photoplethysmography system was placed on both hands of the subjects. On one hand, a three-axis accelerometer was also attached to capture the myokinetic motion, while the other hand remained stationary, allowing the PPG system to record a motion-free signal. After capturing the PPG signals with and without motion, we conducted an analysis by calculating the spectral coherence of the contaminated and recovered signals after adaptive filtering. We compared noisy PPG signals with the reference signal (myokinetic motion-free PPG signal). Based on the spectral coherence criterion, the affine projection algorithm and the variable step-size affine projection algorithm were found to be the most effective for filtering a PPG signal contaminated by myokinetic noise, achieving similarity scores of 94.25% and 94.67%, respectively, between the filtered signal and the motion-free pulse signal.
求助全文
约1分钟内获得全文 求助全文
来源期刊
IEEE Latin America Transactions
IEEE Latin America Transactions COMPUTER SCIENCE, INFORMATION SYSTEMS-ENGINEERING, ELECTRICAL & ELECTRONIC
CiteScore
3.50
自引率
7.70%
发文量
192
审稿时长
3-8 weeks
期刊介绍: IEEE Latin America Transactions (IEEE LATAM) is an interdisciplinary journal focused on the dissemination of original and quality research papers / review articles in Spanish and Portuguese of emerging topics in three main areas: Computing, Electric Energy and Electronics. Some of the sub-areas of the journal are, but not limited to: Automatic control, communications, instrumentation, artificial intelligence, power and industrial electronics, fault diagnosis and detection, transportation electrification, internet of things, electrical machines, circuits and systems, biomedicine and biomedical / haptic applications, secure communications, robotics, sensors and actuators, computer networks, smart grids, among others.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信