TY - GEN
T1 - Improved blood glucose estimation through multi-sensor fusion
AU - Xiong, Feiyu
AU - Hipszer, Brian R.
AU - Joseph, Jeffrey
AU - Kam, Moshe
PY - 2011
Y1 - 2011
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=84861952219&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84861952219&partnerID=8YFLogxK
U2 - 10.1109/IEMBS.2011.6090122
DO - 10.1109/IEMBS.2011.6090122
M3 - Conference contribution
C2 - 22254327
AN - SCOPUS:84861952219
SN - 9781424441211
T3 - Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
SP - 377
EP - 380
BT - 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011
T2 - 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011
Y2 - 30 August 2011 through 3 September 2011
ER -