Title :
A neuronal based baroreceptor model
Author_Institution :
Dept. of Electr. Eng., Fed. Inst. of Technol., Lausanne, Switzerland
fDate :
31 Oct-3 Nov 1996
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;
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
DOI :
10.1109/IEMBS.1996.646259
