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Accurate determination of respiratory rhythm and pulse rate using an under-pillow sensor based on wavelet transformation
http://hdl.handle.net/2297/6706
http://hdl.handle.net/2297/6706fe981275-7c20-48da-a0c1-1d8ab0615c93
| 名前 / ファイル | ライセンス | アクション |
|---|---|---|
ME-PR-NEMOTO-T-5869.pdf (547.2 kB)
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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 | Accurate determination of respiratory rhythm and pulse rate using an under-pillow sensor based on wavelet transformation | |||||
| 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 |
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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 |
Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings p. 5869-5872, 発行日 2005-01-01 |
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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/iembs.2005.1615825 | |||||
| 出版者 | ||||||
| 出版者 | Institute of Electrical and Electronics Engineers (IEEE) | |||||
| 抄録 | ||||||
| 内容記述タイプ | Abstract | |||||
| 内容記述 | A real-time noninvasive and unconstrained method is proposed to determine the respiratory rhythm and pulse rate with an under-pillow sensor during sleep. The sensor is composed of two fluid-filled polyvinyl tubes set in parallel and sandwiched between two acrylic plates. One end of each tube is hermetically sealed, and the other end is connected to one of two pressure sensors. Inner pressure in each tube therefore changes in accordance with respiratory motion and cardiac beating. By employing the á trous algorithm of wavelet transformation (WT), the respiratory and cardiac cycle can be discriminated from the pressure waveforms. The respiratory rhythm was obtained from the WT 2 6 scale approximation, and the pulse rate from the sum of WT 2 4 and 25 scale details without WT reconstruction after soft-threshold denoising. The algorithm's latency can be set to be minimal and the respiratory rhythm and pulse rate were estimated directly from the extracted respiration and pulse waveforms, respectively. This method has been tested with a total of about 25 h data collected from 13 subjects. By comparing the detection results with those of reference data, the average pulse rate detection sensitivity and positive predictivity were 99.17% and 98.53%, and the respiratory rhythm detection sensitivity and positive predictivity were 95.63% and 95.42%. © 2005 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 | 1615825 | |||||
