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
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;
Conference_Titel :
Acoustics, Speech and Signal Processing (ICASSP), 2012 IEEE International Conference on
Conference_Location :
Kyoto
Print_ISBN :
978-1-4673-0045-2
Electronic_ISBN :
1520-6149
DOI :
10.1109/ICASSP.2012.6287963