DocumentCode :
3145630
Title :
Patient-ventilator asynchrony: Automatic detection of AutoPEEP
Author :
Nguyen, Quang-Thang ; Pastor, Dominique ; L´Her, Erwan
Author_Institution :
Inst. Telecom, Telecom Bretagne, Brest, France
fYear :
2012
fDate :
25-30 March 2012
Firstpage :
633
Lastpage :
636
Abstract :
This paper introduces a method to automatically detect AutoPEEP (pulmonary distension), a frequent asynchrony in the patient-ventilator interface. The detection algorithm is developed based on a robust non-parametric hypothesis testing that requires no prior information on the distribution of the signal. The experiment results have shown that the proposed algorithm provide relevant AutoPEEP detection on both simulated and real data.
Keywords :
lung; medical signal detection; pneumodynamics; automatic AutoPEEP detection; detection algorithm; intrinsic positive end-expiratory pressure; patient-ventilator asynchrony; patient-ventilator interface; pulmonary distension; robust nonparametric hypothesis testing; signal distribution; simulated data; Lungs; Noise; Noise level; Robustness; Testing; Vectors; Ventilation; AutoPEEP detection; Patient-ventilator interaction; Signal Norm Testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech and Signal Processing (ICASSP), 2012 IEEE International Conference on
Conference_Location :
Kyoto
ISSN :
1520-6149
Print_ISBN :
978-1-4673-0045-2
Electronic_ISBN :
1520-6149
Type :
conf
DOI :
10.1109/ICASSP.2012.6287963
Filename :
6287963
Link To Document :
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