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

doi:10.1109/ESGCO49734.2020.9158033

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 proceeding › Chapter 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 language	English
Title of host publication	2020 11th Conference of the European Study Group on Cardiovascular Oscillations
Subtitle of host publication	Computation and Modelling in Physiology: New Challenges and Opportunities, ESGCO 2020
Publisher	IEEE
ISBN (Electronic)	9781728157511
DOIs	https://doi.org/10.1109/ESGCO49734.2020.9158033
Publication status	Published - 4 Aug 2020
Event	11th Conference of the European Study Group on Cardiovascular Oscillations, ESGCO 2020 - Virtual, Online, Italy Duration: 15 Jul 2020 → …

Conference

Conference	11th Conference of the European Study Group on Cardiovascular Oscillations, ESGCO 2020
Country/Territory	Italy
City	Virtual, Online
Period	15/07/20 → …

Bibliographical note

Funding Information:
* This work was supported by the European Union's Horizon 2020 Future Emerging Technologies Programme under Grant No. 732170.

Publisher Copyright:
© 2020 IEEE.

ASJC Scopus subject areas

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

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10.1109/ESGCO49734.2020.9158033

Cite this

Abu-Hassan, K. J., Taylor, J. D., Van Bavel, J. J. A., Vos, M. A., & Nogaret, A. (2020). Silicon Central Pattern Generator Model of Cardiac Contraction Behavior. In 2020 11th Conference of the European Study Group on Cardiovascular Oscillations: Computation and Modelling in Physiology: New Challenges and Opportunities, ESGCO 2020 Article 9158033 IEEE. https://doi.org/10.1109/ESGCO49734.2020.9158033

Silicon Central Pattern Generator Model of Cardiac Contraction Behavior. / Abu-Hassan, Kamal J.; Taylor, Joseph D.; Van Bavel, Joanne J.A. et al.
2020 11th Conference of the European Study Group on Cardiovascular Oscillations: Computation and Modelling in Physiology: New Challenges and Opportunities, ESGCO 2020. IEEE, 2020. 9158033.

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

Abu-Hassan, KJ, Taylor, JD, Van Bavel, JJA, Vos, MA & Nogaret, A 2020, Silicon Central Pattern Generator Model of Cardiac Contraction Behavior. in 2020 11th Conference of the European Study Group on Cardiovascular Oscillations: Computation and Modelling in Physiology: New Challenges and Opportunities, ESGCO 2020., 9158033, IEEE, 11th Conference of the European Study Group on Cardiovascular Oscillations, ESGCO 2020, Virtual, Online, Italy, 15/07/20. https://doi.org/10.1109/ESGCO49734.2020.9158033

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title = "Silicon Central Pattern Generator Model of Cardiac Contraction Behavior",

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. ",

author = "Abu-Hassan, {Kamal J.} and Taylor, {Joseph D.} and {Van Bavel}, {Joanne J.A.} and Vos, {Marc A.} and Alain Nogaret",

note = "Funding Information: * This work was supported by the European Union's Horizon 2020 Future Emerging Technologies Programme under Grant No. 732170. Publisher Copyright: {\textcopyright} 2020 IEEE.; 11th Conference of the European Study Group on Cardiovascular Oscillations, ESGCO 2020 ; Conference date: 15-07-2020",

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Silicon Central Pattern Generator Model of Cardiac Contraction Behavior

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