Time frequency analysis of diaphragmatic electromyogram for the detection of diaphragm fatigue

Author

Deny, Y. ; Wolf, W. ; Bullemer, F.

Author_Institution

Inst. fur Math. & Datenverarbeitun, Univ. der Bundeswehr Munchen, Neubiberg, Germany

Volume

6

fYear

1998

fDate

29 Oct-1 Nov 1998

Firstpage

3207

Abstract

This paper employed the exponential distribution (ED) for the time-frequency representation (TFR) of diaphragmatic electromyogram (EMGdi) and for its characterization. The features extracted from TFR were instantaneous mean frequency (IMF) and instantaneous high-to-low ratios (IH/L). A procedure is presented to examine diaphragmatic muscle fatigue for patients with kyphoscoliosis during different respiratory patterns

Keywords

electromyography; exponential distribution; feature extraction; medical signal processing; signal representation; time-frequency analysis; artificial respiration; diaphragm fatigue detection; diaphragmatic electromyogram; different respiratory patterns; exponential distribution; feature extraction; instantaneous high-to-low ratios; instantaneous mean frequency; kyphoscoliosis; muscle fatigue; time frequency analysis; Electrocardiography; Electrodes; Exponential distribution; Fatigue; Feature extraction; Interference elimination; Kernel; Muscles; Signal analysis; Time frequency analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society, 1998. Proceedings of the 20th Annual International Conference of the IEEE

Conference_Location

Hong Kong

ISSN

1094-687X

Print_ISBN

0-7803-5164-9

Type

conf

DOI

10.1109/IEMBS.1998.746176

Filename

746176