Title :
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
fDate :
30 Oct-2 Nov 1997
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;
Conference_Titel :
Engineering in Medicine and Biology Society, 1997. Proceedings of the 19th Annual International Conference of the IEEE
Conference_Location :
Chicago, IL
Print_ISBN :
0-7803-4262-3
DOI :
10.1109/IEMBS.1997.757014
