@techreport{oai:ipsj.ixsq.nii.ac.jp:00033119,
 author = {Taketoshi, ORIHASHI and Hayaru, SHOUNO and Shoji, KIDO and Taketoshi, ORIHASHI and Hayaru, SHOUNO and Shoji, KIDO},
 issue = {68(2006-MPS-060)},
 month = {Jun},
 note = {In a lung auscultatory sounds diagnosis  the diagnosis result would be affected by the skill of the doctor  that is  the doctor should discriminate a lung sounds by own subjective  since standard diagnosis procedure with objectivity has not been established yet. In many cases of the lung sounds diagnosis  the existence of features  which are called adventitious sounds  are important key. The adventitious sounds is roughly classified into two class; one is called coarse crackles  and the other is called fine crackles. Thus  we construct a computer aided diagnosis (CAD) system for classifying a lung sound into three types  that is  coarse crackle  fine crackle and normal breath sound. We aimed with the waveform time intervals for discrimination. Our CAD system calculates average histograms of intervals for each class and discriminates a input histogram into theese three types by the distance between each average histogram., In a lung auscultatory sounds diagnosis, the diagnosis result would be affected by the skill of the doctor, that is, the doctor should discriminate a lung sounds by own subjective, since standard diagnosis procedure with objectivity has not been established yet. In many cases of the lung sounds diagnosis, the existence of features, which are called adventitious sounds, are important key. The adventitious sounds is roughly classified into two class; one is called coarse crackles, and the other is called fine crackles. Thus, we construct a computer aided diagnosis (CAD) system for classifying a lung sound into three types, that is, coarse crackle, fine crackle and normal breath sound. We aimed with the waveform time intervals for discrimination. Our CAD system calculates average histograms of intervals for each class,and discriminates a input histogram into theese three types by the distance between each average histogram.},
 title = {Discrimination of Lung Sounds using a Statistics of Waveform Intervals},
 year = {2006}
}