Title :
Automatic detection and classification of crackles by using a neural network
Author :
Kalayci, Tulga ; Çelebi, Gürbüz ; Öztürk, Yusuf ; Özhan, Mustafa
Author_Institution :
Ege University, School of Medicine, Department of Biophysics
fDate :
Oct. 29 1992-Nov. 1 1992
Abstract :
In this study a neural network has been Implemented to detect and classify crackle signals. The system has been observed to be superior to systems employing time domain features.
Keywords :
Artificial neural networks; Classification algorithms; Diseases; Feature extraction; Lungs;
Conference_Titel :
Engineering in Medicine and Biology Society, 1992 14th Annual International Conference of the IEEE
Conference_Location :
Paris, France
Print_ISBN :
0-7803-0785-2
Electronic_ISBN :
0-7803-0816-6
DOI :
10.1109/IEMBS.1992.5761597
