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

This paper proposes an advanced technique to detect alcohol intake that uses the bio-impedance of the human body. We take account of body weight (BW) as well as the harmonic ratio of the impedance signals of the subject as critical parameters. We demonstrate that the technique proposed here can well offset the effect of smoking and thus better detect alcohol intake.