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