Citation

Han JJ, Doerschuk PC, Gelfand SB, O'Connor SJ. IEEE Trans. Biomed. Eng. 2008; 55(2): 603-613.

Copyright

(Copyright © 2008, Institute of Electrical and Electronic Engineers)

DOI

10.1109/TBME.2007.912652

PMID

18269996

Abstract

The understanding of drinking patterns leading to alcoholism has been hindered by an inability to unobtrusively measure ethanol consumption over periods of weeks to months in the community environment. An implantable ethanol sensor is under development using microelectromechanical systems technology. For safety and user acceptability issues, the sensor will be implanted subcutaneously and, therefore, measure peripheral-tissue ethanol concentration. Determining ethanol consumption and kinetics in other compartments from the time course of peripheral-tissue ethanol concentration requires sophisticated signal processing based on detailed descriptions of the relevant physiology. A statistical signal processing system based on detailed models of the physiology and using extended Kalman filtering and dynamic programming tools is described which can estimate the time series of ethanol concentration in blood, liver, and peripheral tissue and the time series of ethanol consumption based on peripheral-tissue ethanol concentration measurements.

Language: en