Exponential-type distribution of human muscle sympathetic nerve activity results in an automatic quantification method

Details

Serval ID
serval:BIB_4A5CBC4494F1
Type
Article: article from journal or magazin.
Collection
Publications
Institution
Title
Exponential-type distribution of human muscle sympathetic nerve activity results in an automatic quantification method
Journal
Computers in Biology and Medicine
Author(s)
Celka  P., Vetter  R., Vesin  J. M., Pruvot  E., Scherrer  U.
ISSN
0010-4825 (Print)
Publication state
Published
Issued date
11/1998
Volume
28
Number
6
Pages
627-37
Notes
Journal Article
Research Support, Non-U.S. Gov't --- Old month value: Nov
Abstract
A new burst counting method based on a subject invariant characteristic demonstrates the limits of the actual automatic based methods. The exponential behaviour of the counted bursts in function of a variable threshold highlights a scaling property of the muscle sympathetic nerve activity. From experimental single unit recording results, we deduce the exponential-type (gamma) distribution of instantaneous spiking frequency within multi-unit recordings. We show that integrated muscle sympathetic nerve discharges must be gamma distributed with parameters proportional to the number of neurons in the recording pool and to the integration window width.
Keywords
Adult Electrocardiography Electrophysiology Female Humans Male *Mathematical Computing Middle Aged Models, Biological Muscle, Skeletal/*innervation Peroneal Nerve Signal Processing, Computer-Assisted Sympathetic Nervous System/*physiology
Pubmed
Web of science
Create date
25/01/2008 15:04
Last modification date
20/08/2019 14:58
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