Identification of hypoglycemic states for patients with T1DM using various parameters derived from EEG signals.

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dc.contributor.author Nguyen, LB
dc.contributor.author Ling, SS
dc.contributor.author Jones, TW
dc.contributor.author Nguyen, HT
dc.date.accessioned 2012-10-12T03:36:30Z
dc.date.issued 2011
dc.identifier.citation Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Conference, 2011, 2011 pp. 2760 - 2763
dc.identifier.issn 1557-170X
dc.identifier.other E1 en_US
dc.identifier.uri http://hdl.handle.net/10453/19260
dc.description.abstract For patients with Type 1 Diabetes Mellitus (T1DM), hypoglycemia is a very common but dangerous complication which can lead to unconsciousness, coma and even death. The variety of hypoglycemia symptoms is originated from the inadequate supply of glucose to the brain. In this study, we explore the connection between hypoglycemic episodes and the electrical activity of neurons within the brain or electroencephalogram (EEG) signals. By analyzing EEG signals from a clinical study of five children with T1DM, associated with hypoglycemia at night, we find that some EEG parameters change significantly under hypoglycemia condition. Based on these parameters, a method of detecting hypoglycemic episodes using EEG signals with a feed-forward multi-layer neural network is proposed. In our application, the classification results are 72% sensitivity and 55% specificity when the EEG signals are acquired from 2 electrodes C3 and O2. Furthermore, signals from different channels are also analyzed to observe the contributions of each channel to the performance of hypoglycemia classification.
dc.relation.hasversion Accepted manuscript version
dc.title Identification of hypoglycemic states for patients with T1DM using various parameters derived from EEG signals.
dc.type Conference Proceeding
dc.parent Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Conference
dc.journal.volume 2011
dc.journal.number en_US
dc.publocation Boston, Massachusetts, USA en_US
dc.identifier.startpage 2760 en_US
dc.identifier.endpage 2763 en_US
dc.cauo.name FEIT.School of Elec, Mech and Mechatronic Systems en_US
dc.conference Verified OK en_US
dc.for 0903 Biomedical Engineering
dc.personcode 840115
dc.personcode 106694
dc.personcode 112227
dc.percentage 100 en_US
dc.classification.name Biomedical Engineering en_US
dc.classification.type FOR-08 en_US
dc.edition en_US
dc.custom Annual International Conference of the IEEE Engineering in Medicine and Biology Society en_US
dc.date.activity 20110830 en_US
dc.location.activity Boston, Massachusetts, USA en_US
pubs.embargo.period Not known
pubs.organisational-group /University of Technology Sydney
pubs.organisational-group /University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group /University of Technology Sydney/Faculty of Engineering and Information Technology/School of Elec, Mech and Mechatronic Systems
pubs.organisational-group /University of Technology Sydney/Strength - Health Technologies
utslib.copyright.status Open Access
utslib.copyright.date 2015-04-15 12:23:47.074767+10
pubs.consider-herdc true
utslib.collection.history General (ID: 2)


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