DocumentCode
3341093
Title
A neuronal based baroreceptor model
Author
Celka, P.
Author_Institution
Dept. of Electr. Eng., Fed. Inst. of Technol., Lausanne, Switzerland
Volume
5
fYear
1996
fDate
31 Oct-3 Nov 1996
Firstpage
1794
Abstract
In this paper, the authors develop a new neuronal-based baroreceptor model. Well known baroreceptor behaviours like saturation, threshold, silence, hysteresis and resetting are well reproduced. The model is composed of two different parts: the transducer part that converts pressure into the input current signal to the dynamical neuron model which is the second part. This model does not use any curve fitting process but is rather conceived from a more fundamental point of view
Keywords
bioelectric phenomena; cellular biophysics; hysteresis; mechanoception; neurophysiology; physiological models; curve fitting process; input current signal; neuronal-based baroreceptor model; resetting; saturation; silence; threshold; transducer part; Blood pressure; Chemical transducers; Curve fitting; Electronic mail; Hypertension; Hysteresis; Laboratories; Neurons; Pressure control; Signal processing;
fLanguage
English
Publisher
ieee
Conference_Titel
Engineering in Medicine and Biology Society, 1996. Bridging Disciplines for Biomedicine. Proceedings of the 18th Annual International Conference of the IEEE
Conference_Location
Amsterdam
Print_ISBN
0-7803-3811-1
Type
conf
DOI
10.1109/IEMBS.1996.646259
Filename
646259
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