TY - JOUR
T1 - Feasibility of Self-Powering and Energy Harvesting Using Cardiac Valvular Perturbations
AU - Kondapalli, Sri Harsha
AU - Alazzawi, Yarub
AU - Malinowski, Marcin
AU - Timek, Tomasz
AU - Chakrabartty, Shantanu
N1 - Funding Information:
Manuscript received May 10, 2018; revised July 3, 2018; accepted August 7, 2018. Date of publication August 14, 2018; date of current version December 31, 2018. This work was supported in part by a research grant from the National Science Foundation (Award Number: CSR-1405273). This paper was recommended by Associate Editor S.-Y Lee. (Corresponding author: Shantanu Chakrabartty.) S. H. Kondapalli and S. Chakrabartty are with the Department of Electrical and Systems Engineering, Washington University in St. Louis, St. Louis, MO 63130-4899 USA (e-mail:, [email protected]; shantanu@ wustl.edu).
Publisher Copyright:
© 2007-2012 IEEE.
PY - 2018/12
Y1 - 2018/12
N2 - In this paper, we investigate the feasibility of harvesting energy from cardiac valvular perturbations to self-power a wireless sonomicrometry sensor. Compared to the previous studies involving piezoelectric patches or encasings attached to the cardiac or aortic surface, the proposed study explores the use of piezoelectric sutures that can be implanted in proximity to the valvular regions, where non-linear valvular perturbations could be exploited for self-powering. Using an ovine animal model, the magnitude of valvular perturbations are first measured using an array of sonomicrometry crystals implanted around the tricuspid valve. These measurements were then used to estimate the levels of electrical energy that could be harvested using a simplified piezoelectric suture model. These results were revalidated across seven different animals, before and after valvular regurgitation was induced. Our study shows that power harvested from different annular planes of the tricuspid valve (before and after regurgitation) could range from nano-watts to milli-watts, with the maximum power harvested from the leaflet plane. We believe that these results could be useful for determining optimal surgical placement of wireless and self-powered sonomicrometry sensor, which in turn could be used for investigating the pathophysiology of ischemic regurgitation.
AB - In this paper, we investigate the feasibility of harvesting energy from cardiac valvular perturbations to self-power a wireless sonomicrometry sensor. Compared to the previous studies involving piezoelectric patches or encasings attached to the cardiac or aortic surface, the proposed study explores the use of piezoelectric sutures that can be implanted in proximity to the valvular regions, where non-linear valvular perturbations could be exploited for self-powering. Using an ovine animal model, the magnitude of valvular perturbations are first measured using an array of sonomicrometry crystals implanted around the tricuspid valve. These measurements were then used to estimate the levels of electrical energy that could be harvested using a simplified piezoelectric suture model. These results were revalidated across seven different animals, before and after valvular regurgitation was induced. Our study shows that power harvested from different annular planes of the tricuspid valve (before and after regurgitation) could range from nano-watts to milli-watts, with the maximum power harvested from the leaflet plane. We believe that these results could be useful for determining optimal surgical placement of wireless and self-powered sonomicrometry sensor, which in turn could be used for investigating the pathophysiology of ischemic regurgitation.
KW - cardiac valvular dynamics
KW - energy harvesting
KW - M-scan telemetry
KW - sonomicrometry
KW - Ultrasound
UR - http://www.scopus.com/inward/record.url?scp=85051643055&partnerID=8YFLogxK
U2 - 10.1109/TBCAS.2018.2865405
DO - 10.1109/TBCAS.2018.2865405
M3 - Article
C2 - 30113900
AN - SCOPUS:85051643055
SN - 1932-4545
VL - 12
SP - 1392
EP - 1400
JO - IEEE Transactions on Biomedical Circuits and Systems
JF - IEEE Transactions on Biomedical Circuits and Systems
IS - 6
M1 - 8435999
ER -