Detection of respiratory waveforms using non-contact electrodes during bathing

Kazuki Nakajima*, Katsuhisa Sekine, Katsuya Yamazaki, Atsushi Tampo, Yuuichirou Omote, Hiroshi Fukunaga, Yasuko Yagi, Kyoji Ishizu, Masanori Nakajima, Kazuyuki Tobe, Masashi Kobayashi, Kazuo Sasaki

*この論文の責任著者

研究成果: 書籍の章/レポート/会議録会議への寄与査読

3 被引用数 (Scopus)

抄録

The aim of this study is to develop a method for measuring the respiratory waveform using non-contact electrodes during bathing. To determine the most appropriate electrode arrangement, we modeled a composite system consisting of a body submerged in bath water. We calculated the frequency dependence of the impedance amplitude using a three-dimensional finite difference method (3D-FDM). The simulation results showed that an increase in chest size due to inspiration caused a decrease in the impedance amplitude in the frequency range of 0.1 Hz to 1 MHz. Next, bioelectric impedance (BEI) was measured in the frequency range of 4 kHz to 4 MHz at the maximum-end-expiration and maximum-end-inspiration stages. BEI results were consistent with those obtained from the model simulations. We found that 1 MHz was the appropriate frequency for measuring the respiratory waveform, and the time dependence of the impedance amplitude was measured at 1 MHz. The impedance amplitude agreed well with the respiratory waveform obtained from rubber strain gauge plethysmography, which was used as a reference.

本文言語英語
ホスト出版物のタイトル2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10
ページ911-914
ページ数4
DOI
出版ステータス出版済み - 2010
イベント2010 32nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10 - Buenos Aires, アルゼンチン
継続期間: 2010/08/312010/09/04

出版物シリーズ

名前2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10

学会

学会2010 32nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10
国/地域アルゼンチン
CityBuenos Aires
Period2010/08/312010/09/04

ASJC Scopus 主題領域

  • 生体医工学
  • コンピュータ ビジョンおよびパターン認識
  • 信号処理
  • 健康情報学

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