Ava J. Fascetti;Mustafa H. Naguib;Elsie G. Ross;Chris Longhurst;Pam R. Taub;Shamim Nemati;Edward J. Wang;Mattheus Ramsis
{"title":"Physiologically Interpretable Photoplethysmography Features Associated With Peripheral Artery Disease","authors":"Ava J. Fascetti;Mustafa H. Naguib;Elsie G. Ross;Chris Longhurst;Pam R. Taub;Shamim Nemati;Edward J. Wang;Mattheus Ramsis","doi":"10.1109/OJEMB.2026.3732080","DOIUrl":null,"url":null,"abstract":"<italic>Objective:</i> Peripheral artery disease (PAD) is a common and frequently underdiagnosed cardiovascular condition. Photoplethysmography (PPG) is a widely available optical technique with strong potential to support peripheral vascular assessment, yet its feature-level relationship to PAD severity has not been systematically characterized at scale. This study aims to characterize physiologically informed, feature-level relationships between PPG pulse morphology and PAD severity using a large clinical dataset benchmarked against ankle-brachial index (ABI). <italic>Results:</i> Using a large, multi-site clinical dataset consisting of 5,282 toe PPG waveforms from 2,599 unique patients, we systematically evaluated a broad set of PPG features. Features capturing waveform timing and shape exhibited consistent associations with disease severity, including pulse broadening and delayed waveform progression. In contrast, raw signal amplitude did not reliably associate with ABI. Feature associations were consistent across complementary feature classes, and exclusions did not introduce demographic bias. <italic>Conclusions:</i> These findings show that PAD severity is reflected in coordinated changes in PPG pulse timing and shape, providing physiological context for waveform features. This work provides a feature-level reference framework for physiologically interpretable use of PPG in peripheral vascular assessment.","PeriodicalId":33825,"journal":{"name":"IEEE Open Journal of Engineering in Medicine and Biology","volume":"7 ","pages":"308-315"},"PeriodicalIF":3.1000,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11683901","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Open Journal of Engineering in Medicine and Biology","FirstCategoryId":"1085","ListUrlMain":"https://ieeexplore.ieee.org/document/11683901/","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2026/9/8 0:00:00","PubModel":"Epub","JCR":"Q3","JCRName":"ENGINEERING, BIOMEDICAL","Score":null,"Total":0}
引用次数: 0
Abstract
Objective: Peripheral artery disease (PAD) is a common and frequently underdiagnosed cardiovascular condition. Photoplethysmography (PPG) is a widely available optical technique with strong potential to support peripheral vascular assessment, yet its feature-level relationship to PAD severity has not been systematically characterized at scale. This study aims to characterize physiologically informed, feature-level relationships between PPG pulse morphology and PAD severity using a large clinical dataset benchmarked against ankle-brachial index (ABI). Results: Using a large, multi-site clinical dataset consisting of 5,282 toe PPG waveforms from 2,599 unique patients, we systematically evaluated a broad set of PPG features. Features capturing waveform timing and shape exhibited consistent associations with disease severity, including pulse broadening and delayed waveform progression. In contrast, raw signal amplitude did not reliably associate with ABI. Feature associations were consistent across complementary feature classes, and exclusions did not introduce demographic bias. Conclusions: These findings show that PAD severity is reflected in coordinated changes in PPG pulse timing and shape, providing physiological context for waveform features. This work provides a feature-level reference framework for physiologically interpretable use of PPG in peripheral vascular assessment.
期刊介绍:
The IEEE Open Journal of Engineering in Medicine and Biology (IEEE OJEMB) is dedicated to serving the community of innovators in medicine, technology, and the sciences, with the core goal of advancing the highest-quality interdisciplinary research between these disciplines. The journal firmly believes that the future of medicine depends on close collaboration between biology and technology, and that fostering interaction between these fields is an important way to advance key discoveries that can improve clinical care.IEEE OJEMB is a gold open access journal in which the authors retain the copyright to their papers and readers have free access to the full text and PDFs on the IEEE Xplore® Digital Library. However, authors are required to pay an article processing fee at the time their paper is accepted for publication, using to cover the cost of publication.