Respiratory airflow estimation by time varying autoregressive modeling.
This study proposes an approach to estimate airflow from respiratory sounds using time varying autoregressive modeling. Exploiting the well-established relationship between respiratory sounds and airflow, the sound signals from posterior chest and trachea are modeled using TVAR with a Fourier basis set. It is hypothesized that TVAR coefficients will give us an estimate of the amount of respiratory airflow. The procedure was tested on a group of healthy subjects and good correlation coefficients between the estimated and actual airflow were obtained.
Ciftci
Koray
K
Institute of Biomedical Engineering, Department of Electrical and Electronics Engineering, Bogazici University, Istanbul, 34342, Turkey. rciftci@boun.edu.tr
Kahya
Yasemin P
YP
D000328:Adult; D000465:Algorithms; D001314:Auscultation / Q000379:methods*; D003198:Computer Simulation; D003936:Diagnosis, Computer-Assisted / Q000379:methods*; D005260:Female; D006801:Humans; D008297:Male; D008954:Models, Biological; D015233:Models, Statistical; D012123:Pulmonary Ventilation / Q000502:physiology*; D012044:Regression Analysis; D015203:Reproducibility of Results; D012135:Respiratory Sounds / Q000502:physiology*; D012680:Sensitivity and Specificity