2011年7月
Automatic Identification of Apnea Through Acoustic Analysis for At-Home Screening
TELEMEDICINE AND E-HEALTH
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- 巻
- 17
- 号
- 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
- ID情報
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- DOI : 10.1089/tmj.2010.0207
- ISSN : 1530-5627
- eISSN : 1556-3669
- PubMed ID : 21631384
- Web of Science ID : WOS:000292872100013