Tuyển tập các báo cáo nghiên cứu về y học được đăng trên tạp chí y học Critical Care giúp cho các bạn có thêm kiến thức về ngành y học đề tài: Validation of an ambulatory cough detection and counting application using voluntary cough under different conditions. | Vizel et al. Cough 2010 6 3 http content 6 1 3 Cough METHODOLOGY _ Open Access Validation of an ambulatory cough detection and counting application using voluntary cough under different conditions Eldad Vizel 1 Mordechai Yigla2 Yulia Goryachev1 Eyal Dekel1 Vered Fells1 Hanna Levi1 Isaac Kroin1 Simon Godfrey1 and Noam Gavriely 1 Abstract Background While cough is an important defence mechanism of the respiratory system its chronic presence is bothersome and may indicate the presence of a serious disease. We hereby describe the validation process of a novel cough detection and counting technology PulmoTrack-CC KarmelSonix Haifa Israel . Methods Tracheal and chest wall sounds ambient sounds and chest motion were digitally recorded using the PulmoTrack hardware from healthy volunteers coughing voluntarily while a laying supine b sitting c sitting with strong ambient noise d walking and e climbing stairs a total of 25 minutes per subject. The cough monitoring algorithm was applied to the recorded data to detect and count coughs. The detection algorithm first searches for cough candidates by identifying loud sounds with a cough pattern followed by a secondary verification process based on detection of specific characteristics of cough. The recorded data were independently and blindly evaluated by trained experts who listened to the sounds and visually reviewed them on a sonogram display. The validation process was based on two methods i Referring to an expert consensus as gold standard and comparing each cough detected by the algorithm to the expert marking we marked True and False positive and negative values were used to evaluate the specificity and sensitivity of the cough monitoring system. ii Counting the number of coughs in longer segments t 60 sec n 300 and plotting the cough count vs. the corresponding experts count whereby the linear regression equation the regression coefficient R2 and the jointdistribution density .
