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Items: 1 to 20 of 92

1.

An adaptive strategy of classification for detecting hypoglycemia using only two EEG channels.

Nguyen LB, Nguyen AV, Ling SH, Nguyen HT.

Conf Proc IEEE Eng Med Biol Soc. 2012;2012:3515-8. doi: 10.1109/EMBC.2012.6346724.

PMID:
23366685
2.

Combining genetic algorithm and Levenberg-Marquardt algorithm in training neural network for hypoglycemia detection using EEG signals.

Nguyen LB, Nguyen AV, Ling SH, Nguyen HT.

Conf Proc IEEE Eng Med Biol Soc. 2013;2013:5386-9. doi: 10.1109/EMBC.2013.6610766.

PMID:
24110953
3.

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

Nguyen LB, Ling SS, Jones TW, Nguyen HT.

Conf Proc IEEE Eng Med Biol Soc. 2011;2011:2760-3. doi: 10.1109/IEMBS.2011.6090756.

PMID:
22254913
4.

Analyzing EEG signals under insulin-induced hypoglycemia in type 1 diabetes patients.

Nguyen LB, Nguyen AV, Ling SH, Nguyen HT.

Conf Proc IEEE Eng Med Biol Soc. 2013;2013:1980-3. doi: 10.1109/EMBC.2013.6609917.

PMID:
24110104
5.

Neural-network detection of hypoglycemic episodes in children with type 1 diabetes using physiological parameters.

Nguyen HT, Ghevondian N, Jones TW.

Conf Proc IEEE Eng Med Biol Soc. 2006;1:6053-6.

PMID:
17945929
6.

Detection of nocturnal hypoglycemic episodes (natural occurrence) in children with Type 1 diabetes using an optimal Bayesian neural network algorithm.

Nguyen HT, Ghevondian N, Jones TW.

Conf Proc IEEE Eng Med Biol Soc. 2008;2008:1311-4. doi: 10.1109/IEMBS.2008.4649405.

PMID:
19162908
7.

Detection of nocturnal hypoglycemic episodes using EEG signals.

Nguyen HT, Jones TW.

Conf Proc IEEE Eng Med Biol Soc. 2010;2010:4930-3. doi: 10.1109/IEMBS.2010.5627233.

PMID:
21096665
8.

Real-time detection of nocturnal hypoglycemic episodes using a novel non-invasive hypoglycemia monitor.

Nguyen HT, Ghevondian N, Jones TW.

Conf Proc IEEE Eng Med Biol Soc. 2009;2009:3822-5. doi: 10.1109/IEMBS.2009.5335144.

PMID:
19965241
9.

A novel extreme learning machine for hypoglycemia detection.

San PP, Ling SH, Soe NN, Nguyen HT.

Conf Proc IEEE Eng Med Biol Soc. 2014;2014:302-5. doi: 10.1109/EMBC.2014.6943589.

PMID:
25569957
10.

Detection of hypoglycemic episodes in children with type 1 diabetes using an optimal Bayesian neural network algorithm.

Nguyen HT, Ghevondian N, Nguyen ST, Jones TW.

Conf Proc IEEE Eng Med Biol Soc. 2007;2007:3140-3.

PMID:
18002661
11.

Deep learning framework for detection of hypoglycemic episodes in children with type 1 diabetes.

Phyo Phyo San, Sai Ho Ling, Nguyen HT.

Conf Proc IEEE Eng Med Biol Soc. 2016 Aug;2016:3503-3506. doi: 10.1109/EMBC.2016.7591483.

PMID:
28269053
12.

Channel selection and classification of electroencephalogram signals: an artificial neural network and genetic algorithm-based approach.

Yang J, Singh H, Hines EL, Schlaghecken F, Iliescu DD, Leeson MS, Stocks NG.

Artif Intell Med. 2012 Jun;55(2):117-26. doi: 10.1016/j.artmed.2012.02.001. Epub 2012 Apr 12.

13.

Intelligent detection of hypoglycemic episodes in children with type 1 diabetes using adaptive neural-fuzzy inference system.

San PP, Ling SH, Nguyen HT.

Conf Proc IEEE Eng Med Biol Soc. 2012;2012:6325-8. doi: 10.1109/EMBC.2012.6347440.

PMID:
23367375
14.

Adaptive EEG thought pattern classifier for advanced wheelchair control.

Craig DA, Nguyen HT.

Conf Proc IEEE Eng Med Biol Soc. 2007;2007:2544-7.

PMID:
18002513
16.

Automated detection of hypoglycemia-induced EEG changes recorded by subcutaneous electrodes in subjects with type 1 diabetes--the brain as a biosensor.

Juhl CB, Højlund K, Elsborg R, Poulsen MK, Selmar PE, Holst JJ, Christiansen C, Beck-Nielsen H.

Diabetes Res Clin Pract. 2010 Apr;88(1):22-8. doi: 10.1016/j.diabres.2010.01.007. Epub 2010 Jan 15.

PMID:
20074827
17.

Natural occurrence of nocturnal hypoglycemia detection using hybrid particle swarm optimized fuzzy reasoning model.

Ling SH, Nguyen HT.

Artif Intell Med. 2012 Jul;55(3):177-84. doi: 10.1016/j.artmed.2012.04.003. Epub 2012 Jun 13.

PMID:
22698854
18.
19.

Adaptive neuro-fuzzy inference system for classification of EEG signals using wavelet coefficients.

Güler I, Ubeyli ED.

J Neurosci Methods. 2005 Oct 30;148(2):113-21. Epub 2005 Jul 28.

PMID:
16054702
20.

Classification of EEG signals using neural network and logistic regression.

Subasi A, Erçelebi E.

Comput Methods Programs Biomed. 2005 May;78(2):87-99.

PMID:
15848265

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