Conference proceeding
Improved Blood Glucose Estimation through Multi-Sensor Fusion
2011 ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC), v 2011, pp 377-380
01 Jan 2011
PMID: 22254327
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
Continuous glucose monitoring systems are an integral component of diabetes management. Efforts to improve the accuracy and robustness of these systems are at the forefront of diabetes research. Towards this goal, a multi-sensor approach was evaluated in hospitalized patients. In this paper, we report on a multi-sensor fusion algorithm to combine glucose sensor measurements in a retrospective fashion. The results demonstrate the algorithm's ability to improve the accuracy and robustness of the blood glucose estimation with current glucose sensor technology.
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Details
- Title
- Improved Blood Glucose Estimation through Multi-Sensor Fusion
- Creators
- Feiyu Xiong - Drexel UniversityBrian R. Hipszer - Thomas Jefferson UniversityJeffrey Joseph - Thomas Jefferson UniversityMoshe Kam - Drexel UniversityIEEE
- Publication Details
- 2011 ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC), v 2011, pp 377-380
- Series
- IEEE Engineering in Medicine and Biology Society Conference Proceedings
- Publisher
- IEEE
- Number of pages
- 4
- Resource Type
- Conference proceeding
- Language
- English
- Web of Science ID
- WOS:000298810000090
- Scopus ID
- 2-s2.0-84861952219
- Other Identifier
- 991019346796204721
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InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Web of Science research areas
- Engineering, Biomedical
- Engineering, Electrical & Electronic