Title :
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
fDate :
29 Oct-1 Nov 1998
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;
Conference_Titel :
Engineering in Medicine and Biology Society, 1998. Proceedings of the 20th Annual International Conference of the IEEE
Conference_Location :
Hong Kong
Print_ISBN :
0-7803-5164-9
DOI :
10.1109/IEMBS.1998.746176
