A mathematical model for the respiratory central pattern generator

Annika Multusch; Eike Petersen

A mathematical model for the respiratory central pattern generator

Annika Multusch, Eike Petersen

Institut für Medizinische Elektrotechnik

Abstract

The respiratory Central Pattern Generator (rCPG) is a neural circuit located in the brainstem, generating the physiological rhythmic breathing pattern of alternating inspiration and expiration. In this work, we propose a mathematical model of the rCPG which incorporates physiological feedback mechanisms. Numerical simulations of a closed-loop model of the rCPG with a lung and gas exchange model confirm the ability of the proposed model to reproduce the behavior of the rCPG in several important physiological regimes.

Originalsprache	Englisch
Seitenumfang	2
Publikationsstatus	Veröffentlicht - 03.2020
Veranstaltung	AUTOMED - Automation in Medical Engineering 2020 - Lübeck, Deutschland Dauer: 02.03.2020 → 03.03.2020

Tagung, Konferenz, Kongress

Tagung, Konferenz, Kongress	AUTOMED - Automation in Medical Engineering 2020
Land/Gebiet	Deutschland
Ort	Lübeck
Zeitraum	02.03.20 → 03.03.20

UN SDGs

Dieser Output leistet einen Beitrag zu folgendem(n) Ziel(en) für nachhaltige Entwicklung

SDG 3 – Gesundheit und Wohlergehen
SDG 9 – Industrie, Innovation und Infrastruktur

Dokumente

https://journals.infinite-science.de/index.php/automed/article/view/331

Zitieren

@conference{45344076f5e34e6d840b3a58c6c59715,

title = "A mathematical model for the respiratory central pattern generator",

abstract = "The respiratory Central Pattern Generator (rCPG) is a neural circuit located in the brainstem, generating the physiological rhythmic breathing pattern of alternating inspiration and expiration. In this work, we propose a mathematical model of the rCPG which incorporates physiological feedback mechanisms. Numerical simulations of a closed-loop model of the rCPG with a lung and gas exchange model confirm the ability of the proposed model to reproduce the behavior of the rCPG in several important physiological regimes. ",

author = "Annika Multusch and Eike Petersen",

year = "2020",

month = mar,

language = "English",

note = "AUTOMED - Automation in Medical Engineering 2020 ; Conference date: 02-03-2020 Through 03-03-2020",

}

TY - CONF

T1 - A mathematical model for the respiratory central pattern generator

AU - Multusch, Annika

AU - Petersen, Eike

PY - 2020/3

Y1 - 2020/3

N2 - The respiratory Central Pattern Generator (rCPG) is a neural circuit located in the brainstem, generating the physiological rhythmic breathing pattern of alternating inspiration and expiration. In this work, we propose a mathematical model of the rCPG which incorporates physiological feedback mechanisms. Numerical simulations of a closed-loop model of the rCPG with a lung and gas exchange model confirm the ability of the proposed model to reproduce the behavior of the rCPG in several important physiological regimes.

AB - The respiratory Central Pattern Generator (rCPG) is a neural circuit located in the brainstem, generating the physiological rhythmic breathing pattern of alternating inspiration and expiration. In this work, we propose a mathematical model of the rCPG which incorporates physiological feedback mechanisms. Numerical simulations of a closed-loop model of the rCPG with a lung and gas exchange model confirm the ability of the proposed model to reproduce the behavior of the rCPG in several important physiological regimes.

M3 - Conference Papers

T2 - AUTOMED - Automation in Medical Engineering 2020

Y2 - 2 March 2020 through 3 March 2020

ER -

A mathematical model for the respiratory central pattern generator

Abstract

Tagung, Konferenz, Kongress

UN SDGs

Dokumente

Fingerprint

Zitieren