Involuntary Measurement System for Respiratory Waveform for Prevention of Accidental Drowning during Bathing

Death rate of accidental drowning in the bathtub was the highest among casualties occurring at home, according to the annual report of the Japanese Ministry of Health, Labour and Welfare in 2007. To prevent accidental drowning during bathing at home, we obtained respiratory waveforms from bioelectri...

Full description

Saved in:
Bibliographic Details
Published inAdvanced Biomedical Engineering Vol. 2; pp. 17 - 24
Main Authors SASAKI, Kazuo, NAKAJIMA, Kazuki, KOBAYASHI, Masashi, YAMAZAKI, Katsuya, SEKINE, Katsuhisa, TANPO, Atsushi, KIM, Juhyon, TSUBOSAKA, Yasushi, TOBE, Kazuyuki
Format Journal Article
LanguageEnglish
Published Kagoshima Japanese Society for Medical and Biological Engineering 2013
Subjects
Online AccessGet full text
ISSN2187-5219
2187-5219
DOI10.14326/abe.2.17

Cover

More Information
Summary:Death rate of accidental drowning in the bathtub was the highest among casualties occurring at home, according to the annual report of the Japanese Ministry of Health, Labour and Welfare in 2007. To prevent accidental drowning during bathing at home, we obtained respiratory waveforms from bioelectric impedance (BEI) measurement using non-contact electrodes. The BEI measurement is an involuntary measurement method, from which respiratory waveform during bathing can be extracted. In the present study, to find the most appropriate electrode configuration as well as the optimal measuring frequency, we calculated the frequency dependence of impedance amplitude by numerical technique based on a three-dimensional finite difference method for a composite system consisting of a human body submerged in bath water. The results of model calculation agreed with the experimental results. Next, to obtain respiratory waveforms with large amplitudes, we investigated the optimal frequency experimentally. The frequency of 1MHz was suitable for involuntary measurement of respiratory waveform during bathing.
Bibliography:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ISSN:2187-5219
2187-5219
DOI:10.14326/abe.2.17