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...

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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
Accident prevention
Amplitudes
Bathing
bioelectric impedance
Bioelectricity
Casualties
Electrodes
Finite difference method
Frequency dependence
Impedance
involuntary measurement
Measurement methods
respiratory waveform
Waveforms
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ISSN2187-5219
2187-5219
DOI10.14326/abe.2.17

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Abstract 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.
AbstractList 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.
Author SASAKI, Kazuo
SEKINE, Katsuhisa
TANPO, Atsushi
KOBAYASHI, Masashi
KIM, Juhyon
NAKAJIMA, Kazuki
TSUBOSAKA, Yasushi
YAMAZAKI, Katsuya
TOBE, Kazuyuki
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  fullname: KOBAYASHI, Masashi
  organization: The First Department of Internal Medicine, University of Toyama
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  fullname: YAMAZAKI, Katsuya
  organization: The First Department of Internal Medicine, University of Toyama
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  fullname: SEKINE, Katsuhisa
  organization: School of Health Sciences, Faculty of Medicine, Kanazawa University
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  fullname: TANPO, Atsushi
  organization: Division of Bio-Information Engineering, Faculty of Engineering, University of Toyama
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  fullname: KIM, Juhyon
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  fullname: TSUBOSAKA, Yasushi
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  fullname: TOBE, Kazuyuki
  organization: The First Department of Internal Medicine, University of Toyama
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Cites_doi 10.1378/chest.71.4.456
10.1109/IEMBS.1999.803850
10.1109/TBME.1986.325836
10.18494/SAM.2011.709
10.1001/jama.260.3.380
10.1016/j.forsciint.2004.04.085
10.1016/S1344-6223(02)00136-0
10.1080/0309190021000059687
10.1177/002580249903900414
10.1109/IEMBS.2010.5627480
10.1007/BF00870463
10.2105/AJPH.75.6.630
10.1007/s11517-007-0256-0
10.1088/0022-3727/39/3/012
10.1097/01.SGA.0000305222.16522.a4
10.1016/S0169-409X(98)00061-1
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14. Nakajima K, Sekine K, Yamazaki K, Sakai Y, Tampo A, Fukunaga H, Yagi Y, Ishizu K, Nakajima M, Tobe K, Kobayashi M, Sasaki K. Non-contact respiratory monitoring with a bioelectric impedance technique to detect abnormal respiration during bathing. Jpn J Appl Phys. 48, pp.107001-1-5, 2009.
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References_xml – reference: 14. Nakajima K, Sekine K, Yamazaki K, Sakai Y, Tampo A, Fukunaga H, Yagi Y, Ishizu K, Nakajima M, Tobe K, Kobayashi M, Sasaki K. Non-contact respiratory monitoring with a bioelectric impedance technique to detect abnormal respiration during bathing. Jpn J Appl Phys. 48, pp.107001-1-5, 2009.
– reference: 10. Yamakoshi K. Current status of noninvasive bioinstrumentation for healthcare. Sens Mater. 23(1), pp.1-20, 2011.
– reference: 12. Biomedical applications of physical sensors. In:Bronzino JD, editor. The biomedical engineering handbook 2nd ed. Boca Raton:CRC press;2000. 47-15-16.
– reference: 23. Nishiura T, Nakajima M. Development of a bathroom watching system using fiber grating vision sensor with a built-in color pickup device. IEICE 2006. J89-D(5), pp.1001-1010, 2006 (in Japanese).
– reference: 18. Krylovich VI, Mikhal'kov VV. Raising the accuracy of measuring the dielectric permittivity of fluids. J Eng Phys Thermophys. 56(1), pp.68-72, 2004.
– reference: 3. O'Carroll PW, Alkon E, Weiss B. Drowning mortality in Los Angeles County, 1976 to 1984. JAMA. 260(3), pp.380-383, 1988.
– reference: 4. Japanese Ministry of Health, Labour and Welfare, “Vital statistics in 2006” (in Japanese) [Online] Available:http://www.mhlw.go.jp/toukei/saikin/hw/jinkou/suii07/deth18.html [accessed December 25, 2008].
– reference: 9. Motoi K, Ogawa M, Ueno H, Kuwae Y, Ikarashi A, Yuji T, Higashi Y, Tanaka S, Fujimoto T, Asanoi H, Yamakoshi K. A fully automated health-care monitoring at home without attachment of any biological sensors and its clinical evaluation. Conf Proc IEEE Eng Med Biol Soc. 2009, pp.4323-4326, 2009.
– reference: 21. Gilbert R, Ashutosh K, Auchincloss JH Jr, Rana S, Peppi D. Prospective study of controlled oxygen therapy. Poor prognosis of patients with asynchronous breathing. Chest. 71, pp.456-462, 1977.
– reference: 19. Takashima S. Electrical properties of biopolymers and Membranes. Adam Hilger, Bristol, Philadelphia;1989.
– reference: 2. Budnick LD, Ross DA. Bathtub-related drownings in the United States, 1979-81. Am J Public Health. 75(6), pp.630-633, 1985.
– reference: 17. Brown BH. Electrical impedance tomography (EIT) :a review. J Med Eng Technol. 27, pp.97-108, 2003.
– reference: 7. Kwatra SC, Jain VK. A new technique for monitoring heart signals--Part I:Instrumentation design. IEEE Trans Biomed Eng. 33(1), pp.35-41, 1986.
– reference: 13. Ellett ML, Woodruff KA, Stewart DL. The use of carbon dioxide monitoring to determine orogastric tube placement in premature infants:a pilot study. Gastroenterol Nurs. 30(6), pp.414-417, 2007.
– reference: 16. Weavera JC, Vaughana TE, Chizmadzhevb Y. Theory of electrical creation of aqueous pathways across skin transport barriers. Adv Drug Delivery Rev. 35, pp.21-39, 1999.
– reference: 11. Patterson R. Bioelectric impedance measurements. In:Bronzino JD, editor. The Biomedical engineering handbook 2nd ed. Boca Raton:CRC press;2000. 73-1-8.
– reference: 20. Asami K. Dielectric dispersion in biological cells of complex geometry simulated by three-dimensional finite difference method. J Phys D:Appl Phys. 39, pp.492-499, 2006.
– reference: 1. Nowers MP. Suicide by drowning in the bath. Med Sci Law. 39(4), pp.349-353, 1999.
– reference: 5. Chiba T, Yamauchi M, Nishida N, Kaneko T, Yoshizaki K, Yoshioka N. Risk factors of sudden death in the Japanese hot bath in the senior population. Forensic Sci Int. 149 (2-3), pp.151-158, 2005.
– reference: 6. Yoshioka N, Chiba T, Yamauchi M, Monma T, Yoshizaki K. Forensic consideration of death in the bathtub. Legal Med. 5, pp.S375-81, 2003.
– reference: 22. Nakajima K. An evaluation method for water surface fluctuation during bathing, Proc. Ann. Fall Meeting of the Biomedical Engineering Society and 21st Ann. Int. Conf. IEEE EMBS. 1999;695.
– reference: 8. Ishijima M. Unobtrusive approaches to monitoring vital signs at home. Med Biol Eng Comput. 45, pp.1137-1141, 2007.
– reference: 15. Nakajima K, Sekine K, Yamazaki K, Tampo A, Omote Y, Fukunaga H, Yagi Y, Ishizu K, Nakajima M, Tobe K, Kobayashi M, Sasaki K. Detection of respiratory waveforms using non-contact electrodes during bathing. Conf Proc IEEE Eng Med Biol Soc. 2010, pp.911-914, 2010.
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  doi: 10.1378/chest.71.4.456
– ident: 22
  doi: 10.1109/IEMBS.1999.803850
– ident: 4
– ident: 7
  doi: 10.1109/TBME.1986.325836
– ident: 12
– ident: 11
– ident: 10
  doi: 10.18494/SAM.2011.709
– ident: 3
  doi: 10.1001/jama.260.3.380
– ident: 19
– ident: 5
  doi: 10.1016/j.forsciint.2004.04.085
– ident: 14
– ident: 6
  doi: 10.1016/S1344-6223(02)00136-0
– ident: 17
  doi: 10.1080/0309190021000059687
– ident: 1
  doi: 10.1177/002580249903900414
– ident: 15
  doi: 10.1109/IEMBS.2010.5627480
– ident: 18
  doi: 10.1007/BF00870463
– ident: 2
  doi: 10.2105/AJPH.75.6.630
– ident: 8
  doi: 10.1007/s11517-007-0256-0
– ident: 9
– ident: 20
  doi: 10.1088/0022-3727/39/3/012
– ident: 13
  doi: 10.1097/01.SGA.0000305222.16522.a4
– ident: 16
  doi: 10.1016/S0169-409X(98)00061-1
– ident: 23
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SubjectTerms Accident prevention
Amplitudes
Bathing
bioelectric impedance
Bioelectricity
Casualties
Electrodes
Finite difference method
Frequency dependence
Impedance
involuntary measurement
Measurement methods
respiratory waveform
Waveforms
Title Involuntary Measurement System for Respiratory Waveform for Prevention of Accidental Drowning during Bathing
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