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Breath detection using fuzzy sets and sensor fusion

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5 Author(s)
Cohen, K.P. ; Dept. of Electr. & Comput. Eng., Wisconsin Univ., Madison, WI, USA ; Webster, J.G. ; Northern, J. ; Hu, Y.H.
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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

Published in:
Engineering in Medicine and Biology Society, 1994. Engineering Advances: New Opportunities for Biomedical Engineers. Proceedings of the 16th Annual International Conference of the IEEE

Date of Conference: 1994

Page(s):
1067 - 1068 vol.2
Meeting Date :
03 Nov 1994-06 Nov 1994
Print ISBN:
0-7803-2050-6
INSPEC Accession Number:
5099060
Conference Location :
Baltimore, MD
Digital Object Identifier :
10.1109/IEMBS.1994.415327
Product Type:
Conference Publications

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