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Real-time monitoring of respiration rhythm and pulse rate during sleep
http://hdl.handle.net/2297/6690
http://hdl.handle.net/2297/669095c6dcab-a901-4427-94dd-40703cc6702a
| 名前 / ファイル | ライセンス | アクション |
|---|---|---|
ME-PR-NEMOTO-T-2533.pdf (2.4 MB)
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| Item type | 学術雑誌論文 / Journal Article(1) | |||||
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| 公開日 | 2017-10-03 | |||||
| タイトル | ||||||
| タイトル | Real-time monitoring of respiration rhythm and pulse rate during sleep | |||||
| 言語 | ||||||
| 言語 | eng | |||||
| 資源タイプ | ||||||
| 資源タイプ識別子 | http://purl.org/coar/resource_type/c_6501 | |||||
| 資源タイプ | journal article | |||||
| 著者 |
Zhu, Xin
× Zhu, Xin× Chen, Wenxi× Nemoto, Tetsu× Kanemitsu, Yumi× Kitamura, Keiichiro× Yamakoshi, Kenichi× Wei, Daming |
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| 提供者所属 | ||||||
| 内容記述タイプ | Other | |||||
| 内容記述 | 金沢大学大学院医学系研究科先端医療技術学 | |||||
| 書誌情報 |
IEEE Transactions on Biomedical Engineering 巻 53, 号 12, p. 2553-2563, 発行日 2006-01-01 |
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| DOI | ||||||
| 関連タイプ | isIdenticalTo | |||||
| 識別子タイプ | DOI | |||||
| 関連識別子 | https://doi.org/10.1109/tbme.2006.884641 | |||||
| 出版者 | ||||||
| 出版者 | IEEE | |||||
| 抄録 | ||||||
| 内容記述タイプ | Abstract | |||||
| 内容記述 | A noninvasive and unconstrained real-time method to detect the respiration rhythm and pulse rate during sleep is presented. By employing the à trous algorithm of the wavelet transformation (WT), the respiration rhythm and pulse rate can be monitored in real-time from a pressure signal acquired with a pressure sensor placed under a pillow. The waveform for respiration rhythm detection is derived from the 26 scale approximation, while that for pulse rate detection is synthesized by combining the 24 and 2 5 scale details. To minimize the latency in data processing and realize the highest real-time performance, the respiration rhythm and pulse rate are estimated by using waveforms directly derived from the WT approximation and detail components without the reconstruction procedure. This method is evaluated with data collected from 13 healthy subjects. By comparing with detections from finger photoelectric plethysmograms used for pulse rate detection, the sensitivity and positive predictivity were 99.17% and 98.53%, respectively. Similarly, for respiration rhythm, compared with detections from nasal thermistor signals, results were 95.63% and 95.42%, respectively. This study suggests that the proposed method is promising to be used in a respiration rhythm and pulse rate monitor for real-time monitoring of sleep-related diseases during sleep. © 2006 IEEE. | |||||
| 著者版フラグ | ||||||
| 出版タイプ | VoR | |||||
| 出版タイプResource | http://purl.org/coar/version/c_970fb48d4fbd8a85 | |||||
| シリーズ | ||||||
| 関連名称 | 19 | |||||
