Application-Driven Model of a PPG Sensing Modality for the Informed Design of Self-Powered, Wearable Healthcare Systems | IEEE Conference Publication | IEEE Xplore

Application-Driven Model of a PPG Sensing Modality for the Informed Design of Self-Powered, Wearable Healthcare Systems


Abstract:

The convergence of self-powered technology with on-body wearable applications creates impactful opportunities for more personalized healthcare. PPG sensing is recognized ...Show More

Abstract:

The convergence of self-powered technology with on-body wearable applications creates impactful opportunities for more personalized healthcare. PPG sensing is recognized as a primary method for recovering physiological information but remains relatively high-power compared to the available energy harvesting options in an on-body self-powered context, limiting reliability. This paper introduces a PPG sensing model based on a differential regulated cascode TIA to demonstrate the power, signaling, and circuit tradeoffs that exist for self-powered PPG operation. The model shows that body-worn μW to sub-μW self-powered PPG operation is theoretically achievable and provides insight on challenges and limitations.
Date of Conference: 12-14 October 2020
Date Added to IEEE Xplore: 28 September 2020
Print ISBN:978-1-7281-3320-1
Print ISSN: 2158-1525
Conference Location: Seville, Spain
University of Virginia, Charlottesville, VA, USA
University of Virginia, Charlottesville, VA, USA
University of Virginia, Charlottesville, VA, USA

University of Virginia, Charlottesville, VA, USA
University of Virginia, Charlottesville, VA, USA
University of Virginia, Charlottesville, VA, USA
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