MALSORI (대한음성학회지:말소리)
- Issue 49
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- Pages.135-144
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- 2004
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- 1226-1173(pISSN)
Classification of Asthma Disease Using Thoracic Data
흉부음 데이터를 이용한 천식 질환 판별
- Published : 2004.03.01
Abstract
In this paper, we make a study of classification normal from abnormal - normal, asthma through analysis of thoracic sound to take use thoracic sound detection system. Thoracic sound detection system has a function to store thoracic sound and analyze the data. The wave shape of thoracic sound is similar to noise and is systematically generated by inhalation and exhalation breathing, therefore, in this paper, to classify asthma sound in thoracic sound, we could discriminate between normal and abnormal case using level crossing rate(LCR) and spectrogram energy rate.