Fuzzy logic cough detection in mechanically ventilated patients

Author

Stegmaier, Peter ; Zollinger, Andreas ; Singer, Thomas ; Pasch, Thomas

Author_Institution

Inst. of Robotics, Swiss Federal Inst. of Technol., Zurich, Switzerland

Volume

3

fYear

1996

fDate

8-11 Sep 1996

Firstpage

1732

Abstract

Reports the application of fuzzy logic to signal interpretation in artificial ventilation. The problem analyzed is cough detection in mechanically ventilated human subjects. A fuzzy logic cough detection system has been devised and tested using data recorded in seven patients. Of 203 recorded breaths, 190 (>90%) have been correctly identified. The results suggest that the proposed approach is able to distinguish between breaths with and without coughing. This discrimination is important for computer-controlled ventilation systems in clinical routine applications

Keywords

biocontrol; fuzzy logic; lung; medical signal processing; orthotics; patient care; patient monitoring; pneumodynamics; artificial ventilation; computer-controlled ventilation systems; fuzzy logic cough detection; mechanically ventilated patients; signal interpretation; Fluid flow measurement; Fuzzy logic; Fuzzy systems; Gas detectors; Humans; Lungs; Phase measurement; Plasma welding; Pressure measurement; Ventilation;

fLanguage

English

Publisher

ieee

Conference_Titel

Fuzzy Systems, 1996., Proceedings of the Fifth IEEE International Conference on

Conference_Location

New Orleans, LA

Print_ISBN

0-7803-3645-3

Type

conf

DOI

10.1109/FUZZY.1996.552631

Filename

552631