Statistical Signal processing for an implantable ethanol biosensor

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. Signal processing for an implantable ethanol MEMS bio sensor under simultaneous development is des...

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Bibliographic Details
Published in:2006 International Conference of the IEEE Engineering in Medicine and Biology Society 2006, p.3704-3707
Main Authors: Han, J.-J., Doerschuk, P.C., Gelfand, S.B., O'Connor, S.J.
Format: Article
Language:English
Subjects:
Alcoholism
Biomedical signal processing
Biosensors
Dynamic programming
Ethanol
Filtering
Kalman filters
Micromechanical devices
Physiology
Safety
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Summary: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. Signal processing for an implantable ethanol MEMS bio sensor under simultaneous development is described where the sensor-signal processing system will provide a novel approach to this need. For safety and user acceptability issues, the sensor will be implanted subcutaneously and therefore measure peripheral-tissue ethanol concentration. A statistical signal processing system based on detailed models of the physiology and using extended Kalman filtering and dynamic programming tools is described which determines ethanol consumption and kinetics in other compartments from the time course of peripheral-tissue ethanol concentration
ISSN:1557-170X
DOI:10.1109/IEMBS.2006.259572