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博士論文

A new feature with the potential to detect the severity of obstructive sleep apnoea via snoring sound analysis

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A new feature with the potential to detect the severity of obstructive sleep apnoea via snoring sound analysis

Persistent ID (NDL)
info:ndljp/pid/11689980
Material type
博士論文
Author
林, 奨太
Publisher
林, 奨太
Publication date
2020
Material Format
Digital
Capacity, size, etc.
-
Name of awarding university/degree
東京医科歯科大学,博士(医学)
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Digital

Material Type
博士論文
Author/Editor
林, 奨太
Publication, Distribution, etc.
Publication Date
2020
Publication Date (W3CDTF)
2020
Alternative Title
新たな特徴量を用いたいびき音解析による閉塞性睡眠時無呼吸症の重症度判定に関する研究
Degree grantor/type
東京医科歯科大学
Date Granted
2020-09-17
Date Granted (W3CDTF)
2020-09-17