Silicon Central Pattern Generator Model of Cardiac Contraction Behavior

Kamal J. Abu-Hassan, Joseph D. Taylor, Joanne J.A. Van Bavel, Marc A. Vos, Alain Nogaret

Research output: Chapter or section in a book/report/conference proceedingChapter in a published conference proceeding

1 Citation (SciVal)

Abstract

Synchronization of brain cells underlies the generation of key motor functions including breathing, cardiac activity and locomotion. The circuitry mechanisms underpinning this phase-locked rhythmic patterns have been studied in local circuitry networks known as Central Pattern Generators (CPGs). Biological CPGs (bCPGs) in healthy nervous systems demonstrate robustness and adaptation in response to variations in sensory feedback. This study aims at constructing biologically-plausible network models of analog hardware CPGs (hCPGs), and assimilating the membrane voltages of all constituting neurons in the network with large-scale constrained nonlinear optimization. The hCPG model exhibits a tetra-phasic behavior where the spike timings of the four neurons corresponds to the activation of the heart chambers: sino-atrial node, left atrium, left ventricle and right ventricle. We show the results of modelling electrocardiogram (ECG) recordings from anesthetized dogs. This research will facilitate designing bioelectronic implants to recover cardiac function in heart diseases.

Original languageEnglish
Title of host publication2020 11th Conference of the European Study Group on Cardiovascular Oscillations
Subtitle of host publicationComputation and Modelling in Physiology: New Challenges and Opportunities, ESGCO 2020
PublisherIEEE
ISBN (Electronic)9781728157511
DOIs
Publication statusPublished - 4 Aug 2020
Event11th Conference of the European Study Group on Cardiovascular Oscillations, ESGCO 2020 - Virtual, Online, Italy
Duration: 15 Jul 2020 → …

Conference

Conference11th Conference of the European Study Group on Cardiovascular Oscillations, ESGCO 2020
Country/TerritoryItaly
CityVirtual, Online
Period15/07/20 → …

ASJC Scopus subject areas

  • Computer Science Applications
  • Modelling and Simulation
  • Cardiology and Cardiovascular Medicine
  • Health Informatics
  • Physiology (medical)
  • Instrumentation

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