Comparative Analysis of Photoplethysmogram (PPG) Waveform Characteristics Across Various Body Sites Under Normal and Apneic Conditions.

Joe Rahme, Sahera Saleh, Tamara Al-Sadek, Jason Amatoury, Massoud Khraiche
{"title":"Comparative Analysis of Photoplethysmogram (PPG) Waveform Characteristics Across Various Body Sites Under Normal and Apneic Conditions.","authors":"Joe Rahme, Sahera Saleh, Tamara Al-Sadek, Jason Amatoury, Massoud Khraiche","doi":"10.1109/EMBC53108.2024.10781801","DOIUrl":null,"url":null,"abstract":"<p><p>Detecting sleep apnea through wearable devices poses challenges due to the condition's variability across populations and the inconsistencies in measurements attributed to current wearable technologies. This study aims at comparing photoplethysmogram (PPG) waveform characteristics in healthy subjects, including the change in amplitude, width, and time to peak (Tp) of the signal. PPG signals were recorded at six different body sites (wrist upper, wrist lower, ring finger, thumb, neck, and head) under both simulated normal and apneic conditions. A key objective of this work was to identify optimal LED intensities for detecting these waveform features at each site, providing valuable insights for future development of PPG hardware by pinpointing the most effective intensities. Additionally, the research aims for a better understanding of the variation of the PPG waveform between different body sites.</p>","PeriodicalId":72237,"journal":{"name":"Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference","volume":"2024 ","pages":"1-4"},"PeriodicalIF":0.0000,"publicationDate":"2024-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/EMBC53108.2024.10781801","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Detecting sleep apnea through wearable devices poses challenges due to the condition's variability across populations and the inconsistencies in measurements attributed to current wearable technologies. This study aims at comparing photoplethysmogram (PPG) waveform characteristics in healthy subjects, including the change in amplitude, width, and time to peak (Tp) of the signal. PPG signals were recorded at six different body sites (wrist upper, wrist lower, ring finger, thumb, neck, and head) under both simulated normal and apneic conditions. A key objective of this work was to identify optimal LED intensities for detecting these waveform features at each site, providing valuable insights for future development of PPG hardware by pinpointing the most effective intensities. Additionally, the research aims for a better understanding of the variation of the PPG waveform between different body sites.

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
正常和呼吸暂停状态下不同身体部位的光容积脉搏图(PPG)波形特征的比较分析。
通过可穿戴设备检测睡眠呼吸暂停带来了挑战,因为不同人群的情况存在差异,而且由于当前的可穿戴技术,测量结果不一致。本研究旨在比较健康受试者的光容积脉搏图(PPG)波形特征,包括信号的幅度、宽度和峰值时间的变化。在模拟正常和呼吸暂停条件下,记录6个不同身体部位(手腕上、手腕下、无名指、拇指、颈部和头部)的PPG信号。这项工作的一个关键目标是确定在每个位置检测这些波形特征的最佳LED强度,通过确定最有效的强度,为PPG硬件的未来发展提供有价值的见解。此外,该研究旨在更好地了解不同身体部位之间PPG波形的变化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
CiteScore
0.80
自引率
0.00%
发文量
0
期刊最新文献
An unobtrusive PEP estimation method using hand-to-hand impedance plethysmography. Attenuation in the neural tracking of auditory streams within the first 20 seconds of sound presentation. Attribute-Aware Adversarial Domain Augmentation for Zero-Shot Medical Domain Adaptation. A Novel Approach for Shape Segmentation of Vertebrae: Decomposition into Anatomical Regions Using 3D Skeletonization. A nonparametric copula approach to predict heart rate trajectories from single overnight wearable accelerometry.
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1