PUBLICATIONS
Publication 2021
C.Q. Ngo, R. Chai, T.V. Nguyen, T.W. Jones, H.T. Nguyen, “The effect of hypoglycemia on spectral moments in EEG epochs of different durations in type 1 diabeetes partients”, IEEE Journal of Biomedical and Health Informatics, doi: 10.1109/JBHI.2021.3054876, Vol. 25, Issue 8, August 2021, pp. 2857-2865
We used effect size as a measure to determine the best EEG epoch duration for the detection of hypoglycemia episodes. In addition, Clarke's error grid analysis confirms the correlation between hypoglycemia and EEG spectral moments of this optimal time window, with 86% of clinically acceptable estimated blood glucose values.
Publication 2020
C.Q. Ngo, R. Chai, T.V. Nguyen, T.W. Jones, H.T. Nguyen, “Electroencephalogram spectral moments for the detection of nocturnal hypoglycemia”, IEEE Journal of Biomedical and Health Informatics, doi: 10.1109/JBHI.2019.2931782, Vol. 24, No. 5, May 2020, pp. 1237-1245
This paper presents new EEG spectral features for nocturnal hypoglycemia detection. We find that these spectral moments of theta band and alpha band changed significantly.
Publication 2012
N. Nuryani, S. Ling, H.T. Nguyen, “Electrocardiographic Signals and Swarm based Support Vector Machine for Hypoglycemia Detection”, Annals of Biomedical Engineering, Vol. 40, No. 4, April 2012, pp. 934-945.
In this work, a hybrid technique of swarm-based support vector machine (SVM) is introduced for hypoglycemia detection using ECG parameters as inputs.
Publication 2012
S.H. Ling, H.T. Nguyen, “Natural Occurrence of Nocturnal Hypoglycemia Detection using Hybrid Particle Swarm Optimized Fuzzy Reasoning Model”, Artificial Intelligence in Medicine, Vol. 55, Issue 3, July 2012, pp.177-184.
From our clinical study of 16 children with T1D, natural occurrence of nocturnal-hypoglycemic episodes was associated with increased heart rates and increased corrected QT intervals.
