open access publication

Article, 2024

Harnessing cardiac power: Heart kinetic motion analysis for energy harvesters

Biomedical Signal Processing and Control, ISSN 1746-8108, 1746-8094, Volume 95, Page 106421, 10.1016/j.bspc.2024.106421

Contributors

Khazaee, Majid 0000-0002-8257-2699 (Corresponding author) [1] Hasani, Milad 0000-0002-2799-4063 [1] Riahi, Sam 0000-0003-1849-9463 [1] [2] Rosendahl, Lasse Aistrup 0000-0002-5973-8136 [1] Rezania, Alireza [1]

Affiliations

  1. [1] Aalborg University
  2. [NORA names: AAU Aalborg University; University; Denmark; Europe, EU; Nordic; OECD];
  3. [2] Aalborg University Hospital
  4. [NORA names: North Denmark Region; Hospital; Denmark; Europe, EU; Nordic; OECD]

Abstract

Accurately estimating the complex motion of the heart can unlock enormous potential for kinetic energy harvesting. This paper presents a foundational dataset for heart kinetic motion through in-vivo tests and investigates the most influential factors in heart kinetic motion. In-vivo tests on a living pig's heart, with signal processing, were carried out to study the heart movement by heart beating and respiration motions. A network of nine points on the heart was employed for in vivo measurements. These measurements illustrated the kinetic energy signals in displacement, velocity, and acceleration. The results indicated that the motion level varies in distinct locations over epicardium. The statistical features and autocorrelations were reported for these points, illustrating the highest displacement and acceleration. Each heartbeat generated an energy of 14.35 mJ and a power of 1.03 W. However, this available energy is not uniformly distributed. The results illustrated that not only is cardiac movement location-dependent, but the speed of cardiac displacement cycles is also location-dependent. The right atrium has the highest cardiac kinetic movement with an amplitude of 16.19 mm displacement and 16.3 m/s2 acceleration. To evaluate the energy harvesting possibility from the heart's motion, a piezoelectric energy harvester was simulated by the finite element method, implying that the energy harvesting level significantly depends on implant location over epicardium. The results of this study open the potential of designing novel energy harvesters based on accurate heart movements and provide a foundation for future investigations of energy harvesting for leadless pacemaker energy systems.

Keywords

acceleration, amplitude, analysis, atrium, autocorrelation, beats, complex motion, cycle, dataset, displacement, displacement cycles, element method, energy, energy harvesting, energy harvesting levels, energy signals, energy systems, epicardium, factors, features, finite element method, harvest, harvest levels, harvesting possibilities, heart, heart beats, heart motion, heart movement, heartbeat, higher displacement, implant location, in vivo measurements, in vivo tests, investigation, kinetic energy harvester, kinetic motion, kinetic motion analysis, kinetic movement, levels, living, location, location-dependent, measurements, method, motion, motion analysis, motion level, movement, network, novel energy harvester, piezoelectric energy harvester, pig hearts, possibilities, potential, power, process, respiration, respiration motion, results, right atrium, signal, signal processing, speed, statistical features, study, system, test, velocity

Funders

  • Hjerteforeningen
  • Aalborg University Hospital
  • Novo Nordisk Foundation
  • Lundbeck (Denmark)

Data Provider: Digital Science