論文

査読有り
2011年7月

Automatic Identification of Apnea Through Acoustic Analysis for At-Home Screening

TELEMEDICINE AND E-HEALTH
  • Yasuhiro Nasu
  • ,
  • Nobuyuki Ashida
  • ,
  • Miyae Yamakawa
  • ,
  • Kiyoko Makimoto
  • ,
  • Masatsugu Tsuji

17
6
開始ページ
467
終了ページ
471
記述言語
英語
掲載種別
研究論文(学術雑誌)
DOI
10.1089/tmj.2010.0207
出版者・発行元
MARY ANN LIEBERT, INC

Objective: Although many studies have analyzed breathing sounds in the diagnosis of obstructive sleep apnea syndrome, the recording of snoring sounds at home is hampered by the various background noises of daily life. Recordings also frequently include talking during sleep, which may infringe the privacy of patients. Materials and Methods: A recording system used a bone conduction microphone to record snoring sounds. This microphone reduced background noise. A simple system transmitted recorded breathing sound data for screening at a hospital as envelope data instead of complete sound recordings, thereby decreasing data volume and protecting privacy. Results: In periods in which blood oxygen levels (SpO(2)) were drastically decreased, the probability of apnea as deduced from the envelope curve of breathing sounds was consistent with SpO(2) values. Conclusions: This method provides a basis for telemonitoring of sleep apnea syndrome.

リンク情報
DOI
https://doi.org/10.1089/tmj.2010.0207
PubMed
https://www.ncbi.nlm.nih.gov/pubmed/21631384
Web of Science
https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000292872100013&DestApp=WOS_CPL
ID情報
  • DOI : 10.1089/tmj.2010.0207
  • ISSN : 1530-5627
  • eISSN : 1556-3669
  • PubMed ID : 21631384
  • Web of Science ID : WOS:000292872100013

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