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

Author:

Wang Lu1,Ansari Sardar2,Cai Yingjie3,McCracken Brendan2,Hakam Tiba M.2,Ward Kevin R.4,Najarian Kayvan5,Oldham Kenn R.3

Affiliation:

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

Abstract

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.

Publisher

ASME International

Subject

Physiology (medical),Biomedical Engineering

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