Masking smoking effect to optimize bio-impedance-based alcohol-intake detection

Kojima, Kazuma; Tamura, Shun; Ōmura, Yasuhisa

doi:10.1109/imfedk.2012.6218626

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2012

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“…Figures 5-7 demonstrate that most of measured data points under the alcohol intake condition are successfully separated from the other data points without the alcohol intake. The results suggest that BW is more effective than BMI in minimizing the subjectoriented variability of the harmonic ratio in detecting alcohol intake [9]. In other words, one's height is not so important.…”

Section: Resultsmentioning

confidence: 86%

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Advanced technique to suppress subject variability for bio-impedance based alcohol-intake detection

2012

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This paper proposes an advanced technique to detect alcohol intake using the bio-impedance of the human body. We demonstrate how well the technique proposed here detects alcohol intake after suppressing the impact of subject variability and masking the impact of smoking. Key advances are taking account of body weight as well as spectral intensity ratio extracted from the data of each subject. We demonstrate the successful separation of the alcohol intake state from all other states for all subjects.

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Section: Resultsmentioning

confidence: 86%

“…However, the two groups are not clearly separated. We use the body weight (BW) to offset the individual differences in the subjects rather than BMI (the body mass index) [9]. We introduce new parameters BW/R 13 and BW/R 23 .…”

Section: Resultsmentioning

confidence: 99%