Statistical Signal processing for an implantable ethanol biosensor

Jae Joon Han, Peter C. Doerschuk, Saul B. Gelfand, Sean J. O'Connor

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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. 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.

Original languageEnglish (US)
Title of host publication28th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'06
Pages3704-3707
Number of pages4
DOIs
StatePublished - Dec 1 2006
Event28th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'06 - New York, NY, United States
Duration: Aug 30 2006Sep 3 2006

Publication series

NameAnnual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
ISSN (Print)0589-1019

Other

Other28th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'06
CountryUnited States
CityNew York, NY
Period8/30/069/3/06

Fingerprint

Biosensors
Signal processing
Ethanol
Sensors
Tissue
Physiology
Dynamic programming
MEMS
Kinetics

ASJC Scopus subject areas

  • Signal Processing
  • Biomedical Engineering
  • Computer Vision and Pattern Recognition
  • Health Informatics

Cite this

Han, J. J., Doerschuk, P. C., Gelfand, S. B., & O'Connor, S. J. (2006). Statistical Signal processing for an implantable ethanol biosensor. In 28th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'06 (pp. 3704-3707). [4029185] (Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings). https://doi.org/10.1109/IEMBS.2006.259572

Statistical Signal processing for an implantable ethanol biosensor. / Han, Jae Joon; Doerschuk, Peter C.; Gelfand, Saul B.; O'Connor, Sean.

Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings. 2006. p. 3704-3707 4029185.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Han, JJ, Doerschuk, PC, Gelfand, SB & O'Connor, SJ 2006, Statistical Signal processing for an implantable ethanol biosensor. in 28th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'06., 4029185, Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings, pp. 3704-3707, 28th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'06, New York, NY, United States, 8/30/06. https://doi.org/10.1109/IEMBS.2006.259572
Han JJ, Doerschuk PC, Gelfand SB, O'Connor SJ. Statistical Signal processing for an implantable ethanol biosensor. In 28th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'06. 2006. p. 3704-3707. 4029185. (Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings). https://doi.org/10.1109/IEMBS.2006.259572
Han, Jae Joon ; Doerschuk, Peter C. ; Gelfand, Saul B. ; O'Connor, Sean J. / Statistical Signal processing for an implantable ethanol biosensor. 28th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'06. 2006. pp. 3704-3707 (Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings).
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