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

Détails

ID Serval
serval:BIB_4A5CBC4494F1
Type
Article: article d'un périodique ou d'un magazine.
Collection
Publications
Institution
Titre
Exponential-type distribution of human muscle sympathetic nerve activity results in an automatic quantification method
Périodique
Computers in Biology and Medicine
Auteur(s)
Celka  P., Vetter  R., Vesin  J. M., Pruvot  E., Scherrer  U.
ISSN
0010-4825 (Print)
Statut éditorial
Publié
Date de publication
11/1998
Volume
28
Numéro
6
Pages
627-37
Notes
Journal Article
Research Support, Non-U.S. Gov't --- Old month value: Nov
Résumé
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.
Mots-clé
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
Création de la notice
25/01/2008 15:04
Dernière modification de la notice
20/08/2019 14:58
Données d'usage