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contributor authorLai, Qi
contributor authorZhang, Yangyang
contributor authorLu, Bingwei
contributor authorZhang, Weisheng
contributor authorLü, Chaofeng
contributor authorZhang, He
date accessioned2025-04-21T10:18:34Z
date available2025-04-21T10:18:34Z
date copyright9/10/2024 12:00:00 AM
date issued2024
identifier issn0021-8936
identifier otherjam_91_12_121004.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4305913
description abstractFlexible piezoelectric energy harvesters (FPEHs) have attracted tremendous attention due to their potential applications in the field of biomedicine, such as powering implantable devices. Despite observations in numerous in vivo experiments that the electrical output of FPEHs varies considerably with sewing positions during energy harvesting from heartbeats, optimal sewing positions have not been thoroughly investigated. In this article, an approach that integrates finite element analysis (FEA), long short-term memory (LSTM) deep learning method, and theoretical modeling was proposed to investigate the impact of the sewing position on the harvest performance of the FPEH, utilizing real three-dimensional heart deformation data as the end-to-end displacement load for the FPEH. The results reveal that the sewing positions have a significant influence on the electric output performance of the FPEH. The optimal sewing position was identified near the posterior interventricular groove on the upper part of the left ventricle, with a corresponding optimal resistance value of 8 MΩ and an output power of 122.9 nW. Additionally, five suggested sewing positions across different regions of the heart's surface were provided for clinical application. The methodology that integrates FEA, deep learning approach, and theoretical modeling in this article can be extended to determine the optimal position for the flexible devices patching on other irregular and deforming surfaces.
publisherThe American Society of Mechanical Engineers (ASME)
titleOptimizing the Sewing Position of Flexible Piezoelectric Energy Harvesters on a Three-Dimensional Deforming Heart: An Integrated Approach Using Finite Element Analysis, Deep Learning, and Theoretical Modeling
typeJournal Paper
journal volume91
journal issue12
journal titleJournal of Applied Mechanics
identifier doi10.1115/1.4066383
journal fristpage121004-1
journal lastpage121004-9
page9
treeJournal of Applied Mechanics:;2024:;volume( 091 ):;issue: 012
contenttypeFulltext


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