Tracking Peripheral Artery Motion and Vascular Resistance With a Multimodal Wearable Sensor Under Pressure Perturbations

Lu Wang; Sardar Ansari; Yingjie Cai; Brendan McCracken; M Hakam Tiba; Kevin R Ward; Kayvan Najarian; Kenn R Oldham

doi:10.1115/1.4053399

Tracking Peripheral Artery Motion and Vascular Resistance With a Multimodal Wearable Sensor Under Pressure Perturbations

J Biomech Eng. 2022 Aug 1;144(8):081003. doi: 10.1115/1.4053399.

Authors

Lu Wang¹, Sardar Ansari², Yingjie Cai³, Brendan McCracken², M Hakam Tiba², Kevin R Ward⁴, Kayvan Najarian⁵, Kenn R Oldham³

Affiliations

¹ Department of Emergency Medicine, University of Michigan, Ann Arbor, MI 48109; Department of Mechanical Engineering, University of Michigan, Ann Arbor, MI 48109.
² Department of Emergency Medicine, University of Michigan, Ann Arbor, MI 48109.
³ Department of Mechanical Engineering, University of Michigan, Ann Arbor, MI 48109.
⁴ Department of Emergency Medicine, University of Michigan, Ann Arbor, MI 48109; Department of Biomedical Engineering, University of Michigan, Ann Arbor, MI 48109.
⁵ Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI 48109; Department of Emergency Medicine, University of Michigan, Ann Arbor, MI 48109.

PMID: 35079769
DOI: 10.1115/1.4053399

Abstract

The status of peripheral arteries is known to be a key physiological indicator of the body's response to both acute and chronic medical conditions. In this paper, peripheral artery deformation is tracked by wearable photoplethysmograph (PPG) and piezo-electric (polyvinylidene difluoride, PVDF) sensors, under pressure-varying cuff. A simple mechanical model for the local artery and intervening tissue captures broad features present in the PPG and PVDF signals on multiple swine subjects, with respect to varying cuff pressure. These behaviors provide insight into the robustness of cardiovascular property identification by noninvasive wearable sensing. This is found to help refine noninvasive blood pressure measurements and estimation of systemic vascular resistance (SVR) using selected features of sensor amplitude versus applied pressure.

Publication types

Research Support, Non-U.S. Gov't
Research Support, U.S. Gov't, Non-P.H.S.

MeSH terms

Animals
Arteries
Hemodynamics
Humans
Photoplethysmography* / methods
Swine
Vascular Resistance
Wearable Electronic Devices*