DocumentCode :
2275442
Title :
Fuzzy logic cough detection: a first step towards clinical application
Author :
Stegmaier, Peter A. ; Brunner, Josef X. ; Tschichold, N.N. ; Laubscher, Thomas P. ; Liebert, Wolf
Author_Institution :
Hamilton Bonaduz AG, Bonaduz, Switzerland
fYear :
1994
fDate :
26-29 Jun 1994
Firstpage :
1000
Abstract :
This paper reports the application of fuzzy logic to signal interpretation in the biomedical environment of artificial ventilation. The problem analyzed is cough detection in pressure data measured while mechanically ventilating a human subject. Data from volunteers breathing through a mouthpiece was analyzed. The results suggest that the proposed approach is in fact able to distinguish between data with and without coughing. This discrimination is important for consistent monitoring of patient characteristics in the clinical environment
Keywords :
biomedical measurement; fuzzy logic; medical signal processing; pneumodynamics; pressure measurement; artificial ventilation; clinical application; fuzzy logic cough detection; pressure data; signal interpretation; Biomedical measurements; Fluid flow measurement; Fuzzy logic; Gas detectors; Lungs; Mechanical variables measurement; Patient monitoring; Pressure measurement; Sensor systems; Weight control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Fuzzy Systems, 1994. IEEE World Congress on Computational Intelligence., Proceedings of the Third IEEE Conference on
Conference_Location :
Orlando, FL
Print_ISBN :
0-7803-1896-X
Type :
conf
DOI :
10.1109/FUZZY.1994.343872
Filename :
343872
Link To Document :
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