Title :
Monitoring of wheeze duration during spontaneous respiration in asthmatic patients
Author :
Cortés, S. ; Jane, R. ; Fiz, J.A. ; Morera, J.
Author_Institution :
Dept. ESAII, Univ. Politecnica de Catalunya, Barcelona
Abstract :
Respiratory sound analysis can offer important information related to pulmonary diseases. Wheezes have been reported as adventitious respiratory sounds in asthmatic or obstructive patients, during forced exhalation maneuvers. In this work, we propose a method for monitoring and analysis of respiratory sounds in frequency domain, during spontaneous ventilation. The database analyzed was acquired during spontaneous ventilation for 120 seconds (DBsv), of 26 asthmatics patients. Using an autoregressive model (AR, order 16), the power spectral density (PSD) was calculated for every phase of expiration and inspiration and the maximum frequency (fp) was estimated. From this parameter we study the time duration of the wheezes. The effect of bronchodilator inhalation in asthmatic patients was studied analyzing the duration of the wheezes in the bandwidth 600-2000 Hz (HFband). The wheeze duration is evaluated as the number of consecutive segments, with fp is inside of HFband, (for 3 or more segments in a cycle). The difference of the wheeze duration inside the respiratory cycles (Dwheez), before and after bronchodilator inhalation (POST) was evaluated. It was found a good correlation between Dwheez and FEV1 % improvement ( FEV1%_imp), for FEV1%_imp > 8%, whereas values FEV1%_imp < 8% did not show any change of Dwheez. This last result suggests no difference in the wheeze duration between the baseline and POST records. This method could predict the FEV1%_imp by means of estimation of Dwheez during spontaneous ventilation
Keywords :
acoustic signal processing; autoregressive processes; bioacoustics; diseases; lung; medical signal processing; patient monitoring; pneumodynamics; 120 sec; 600 to 2000 Hz; adventitious respiratory sounds; asthmatic patients; autoregressive model; bronchodilator inhalation; expiration; forced exhalation maneuvers; inspiration; obstructive patients; power spectral density; pulmonary diseases; respiratory cycles; respiratory sound analysis; spontaneous respiration; spontaneous ventilation; wheeze duration monitoring; wheezes; Bandwidth; Data analysis; Databases; Diseases; Frequency domain analysis; Frequency estimation; Information analysis; Patient monitoring; Phase estimation; Ventilation; Asthma; Monitoring; Respiratory Sound; Spectral Analysis; Wheezes;
Conference_Titel :
Engineering in Medicine and Biology Society, 2005. IEEE-EMBS 2005. 27th Annual International Conference of the
Conference_Location :
Shanghai
Print_ISBN :
0-7803-8741-4
DOI :
10.1109/IEMBS.2005.1615896