TY - JOUR
T1 - A new method for automatic wheeze detection
AU - Waris, M.
AU - Helistö, Panu
AU - Haltsonen, S.
AU - Saarinen, Ari
AU - Sovijärvi, A.
PY - 1998
Y1 - 1998
N2 - A new automatic wheeze detection method which is based on image processing techniques applied to the sonagram was developed here. In the calculation of the sonagram, autoregressive and FFT spectrum estimation methods were compared. The method was validated in four wheezing asthmatic patients by a pulmonary physician. Nine out of ten wheezes longer than 250 ms were detected. Very short wheezes were not detected. The false positive amount of wheezing in control subjects was only about 1%. The method extracts also information about the frequency, duration, flow and volume associated with the wheezes.
AB - A new automatic wheeze detection method which is based on image processing techniques applied to the sonagram was developed here. In the calculation of the sonagram, autoregressive and FFT spectrum estimation methods were compared. The method was validated in four wheezing asthmatic patients by a pulmonary physician. Nine out of ten wheezes longer than 250 ms were detected. Very short wheezes were not detected. The false positive amount of wheezing in control subjects was only about 1%. The method extracts also information about the frequency, duration, flow and volume associated with the wheezes.
U2 - https://content.iospress.com/articles/technology-and-health-care/thc093
DO - https://content.iospress.com/articles/technology-and-health-care/thc093
M3 - Article
SN - 0928-7329
VL - 6
SP - 33
EP - 40
JO - Technology and Health Care
JF - Technology and Health Care
IS - 1
ER -