Quantification and exponential behaviour of human muscle sympathetic nerve activity

Author

Celka, P. ; Vetter, R. ; Scherrer, U.

Author_Institution

Dept. of Electr. Eng., Fed. Inst. of Technol., Lausanne, Switzerland

Volume

4

fYear

1997

fDate

30 Oct-2 Nov 1997

Firstpage

1578

Abstract

This paper present results on an automatic muscle sympathetic nerve burst counting method that is based on subject-invariant threshold parameter estimation. This invariant was found from the general exponential behaviour of the burst amplitude distribution with respect to patients. It is also shown that this distribution can be deduced from the probability density function of the nerve activity within the sympathetic fibres, which has also been found to be exponential (V.G. Macefield, 1996)

Keywords

amplitude estimation; biomedical measurement; computerised instrumentation; electromyography; exponential distribution; medical signal processing; neuromuscular stimulation; neurophysiology; burst amplitude distribution; burst counting method; exponential distribution; human muscle sympathetic nerve activity; probability density function; scaling behaviour; subject-invariant threshold parameter estimation; sympathetic nerve fibres; Biomedical signal processing; Electrocardiography; Hospitals; Humans; Laboratories; Muscles; Pressure measurement; Probability density function; Robustness; Voltage;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society, 1997. Proceedings of the 19th Annual International Conference of the IEEE

Conference_Location

Chicago, IL

ISSN

1094-687X

Print_ISBN

0-7803-4262-3

Type

conf

DOI

10.1109/IEMBS.1997.757014

Filename

757014