Title :
Breath detection using fuzzy sets and sensor fusion
Author :
Cohen, Kevin P. ; Webster, John G. ; Northern, James ; Hu, Yu H. ; Tompkins, Willis J.
Author_Institution :
Dept. of Electr. & Comput. Eng., Wisconsin Univ., Madison, WI, USA
Abstract :
We developed a breath detection algorithm which uses fuzzy sets to classify signals from multiple noninvasive sensing technologies. We tested our algorithm using simultaneous recordings from impedance and inductance plethysmographs, while healthy adults performed several different combinations of ventilation and motion. For 4 subjects, the average rates of false positive and false negative detection were 0.6% and 2.2%, respectively
Keywords :
pneumodynamics; biomedical classification; breath detection algorithm; false negative detection; false positive detection; fuzzy sets; healthy adults; impedance plethysmographs; inductance plethysmographs; multiple noninvasive sensing technologies; sensor fusion; signal classification; ventilation; Abdomen; Belts; Detection algorithms; Electrodes; Fuzzy sets; Impedance measurement; Inductance measurement; Inference algorithms; Sensor fusion; Ventilation;
Conference_Titel :
Engineering in Medicine and Biology Society, 1994. Engineering Advances: New Opportunities for Biomedical Engineers. Proceedings of the 16th Annual International Conference of the IEEE
Conference_Location :
Baltimore, MD
Print_ISBN :
0-7803-2050-6
DOI :
10.1109/IEMBS.1994.415327
