Patient-ventilator asynchrony : automatic detection of autopeep

Quang Thang Nguyen (1, 2) , Dominique Pastor (1, 2) , Erwan L'Her (3)

1 Lab-STICC_TB_CID_TOMS
2 SC - Département Signal et Communications
3 UMR 650 - Service de biostatistique et informatique médicale (INSERM)

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.

Domaines: Traitement du signal et de l'image [eess.SP]

Quang Thang Nguyen, Dominique Pastor, Erwan L'Her. Patient-ventilator asynchrony : automatic detection of autopeep. ICCASSP 2012: 7th International Conference on Acoustics, Speech, and Signal Processing, Mar 2012, Kyoto, Japan. ⟨hal-00739635⟩