Asia-Pacific Signal and Information Processing Association (APSIPA) - Classification between normal and abnormal lung sounds using unsupervised subject-adaptation

2015 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA)

Author(s): Shunya Umeki ; Masaru Yamashita ; Shoichi Matsunaga
Publisher: Asia-Pacific Signal and Information Processing Association (APSIPA)
Publication Date: 1 December 2015
Conference Location: Hong Kong, China
Conference Date: 16 December 2015
Page(s): 213 - 216
ISBN (Electronic): 978-9-8814-7680-7
DOI: 10.1109/APSIPA.2015.7415506
Regular:

In this paper, we propose an unsupervised subject-adaptation method to distinguish between normal and abnormal lung sounds. Lung sounds have varied subject-dependent acoustic characteristics. In... View More

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