@inproceedings{603681377f074e14a7efaecc9f928ed8,
title = "Occipital EEG Activity for the Detection of Nocturnal Hypoglycemia",
abstract = "Nocturnal hypoglycemia is dangerous that threatens patients because of its unclear symptoms during sleep. This paper is a study of hypoglycemia from 8 patients with type 1 diabetes (T1D) at night. O1 and O2 EEG data of the occipital lobe associated with glycemic episodes were analyzed. Frequency features were computed from Power Spectral Density using Welch's method. Centroid alpha frequency reduced significantly (P < 0.0001) while centroid theta increased considerably (P < 0.01). Spectral entropy of the unified theta-alpha band rose significantly (P < 0.005). These occipital features acted as the input of a Bayesian regularized neural network for detecting hypoglycemic episodes. The classification results were 73% and 60% of sensitivity and specificity, respectively.",
author = "Ngo, {Cuong Q.} and Truong, {Bao C.Q.} and Jones, {Timothy W.} and Nguyen, {Hung T.}",
year = "2018",
month = oct,
day = "26",
doi = "10.1109/EMBC.2018.8513069",
language = "English",
series = "Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS",
publisher = "IEEE, Institute of Electrical and Electronics Engineers",
pages = "3862--3865",
booktitle = "40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2018",
address = "United States",
note = "2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), EMBC 2018 ; Conference date: 18-07-2018 Through 21-07-2018",
}
