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