TRANSFERRED OUT - Non-invasive prediction of adverse neural events using brain wave activity

Funding: 2015: $78,000
2016: $75,800
2017: $81,000

Project Member(s): Nguyen, H.

Funding or Partner Organisation: University of Sydney (The University of Sydney)
Australian Research Council (ARC Discovery Projects)

Start year: 2015

Summary: This project will develop intelligent decision-making systems for non-invasive identification of critical health status through real-time monitoring of brain waves. Analyses of the effectiveness of the changes in physiological parameters associated with electroencephalography (EEG) signals, advanced biomedical instrumentation, and optimal computational intelligence modelling will form a basis for the development of a platform technology for the detection of generalised critical health status. Success will yield a new generation of smart dynamic non-invasive systems that will be crucial for the avoidance of potentially life threating situations for a large cross section of the population.

Publications:

Chai, R, Ling, SH, San, PP, Naik, GR, Nguyen, TN, Tran, Y, Craig, A & Nguyen, HT 2017, 'Improving EEG-Based Driver Fatigue Classification Using Sparse-Deep Belief Networks', Frontiers in Neuroscience, vol. 11, no. 103, pp. 1-14.
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Chai, R, Naik, GR, Nguyen, TN, Ling, SH, Tran, Y, Craig, A & Nguyen, HT 2017, 'Driver Fatigue Classification With Independent Component by Entropy Rate Bound Minimization Analysis in an EEG-Based System', IEEE Journal of Biomedical and Health Informatics, vol. 21, no. 3, pp. 715-724.
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Chai, R, Naik, GR, Ling, SH, Tran, Y, Craig, A & Nguyen, HT 1970, 'Channels selection using independent component analysis and scalp map projection for EEG-based driver fatigue classification', 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), IEEE, Jeju Island, Korea, pp. 1808-1811.
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Ly, QT, Handojoseno, AMA, Gilat, M, Chai, R, Ehgoetz Martens, KA, Georgiades, M, Naik, GR, Tran, Y, Lewis, SJG & Nguyen, HT 1970, 'Detection of gait initiation Failure in Parkinson's disease based on wavelet transform and Support Vector Machine', 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), IEEE, Jeju Island, Korea, pp. 3048-3051.
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Ly, QT, Handojoseno, AMA, Gilat, M, Chai, R, Ehgoetz Martens, KA, Georgiades, M, Naik, GR, Tran, Y, Lewis, SJG & Nguyen, HT 1970, 'Detection of turning freeze in Parkinson's disease based on S-transform decomposition of EEG signals', 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), IEEE, Jeju Island, Korea, pp. 3044-3047.
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Chai, R, Tran, Y, Naik, GR, Nguyen, TN, Ling, SH, Craig, A & Nguyen, HT 1970, 'Classification of EEG based-mental fatigue using principal component analysis and Bayesian neural network', 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), IEEE, Orlando, pp. 4654-4657.
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San, PP, Ling, SH, Chai, R, Tran, Y, Craig, A & Nguyen, H 1970, 'EEG-based driver fatigue detection using hybrid deep generic model', 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), IEEE, Orlando, USA, pp. 800-803.
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Chai, R, Naik, GR, Tran, Y, Ling, SH, Craig, A, Nguyen, HT & IEEE 1970, 'Classification of Driver Fatigue in an Electroencephalography-based Countermeasure System with Source Separation Module', 2015 37TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC), International Conference of the IEEE Engineering in Medicine and Biology Society, IEEE, Milano, Italy, pp. 514-517.
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Chai, R, Smith, MR, Nguyen, TN, Ling, SH, Coutts, AJ, Nguyen, HT & IEEE 1970, 'Comparing Features Extractors in EEG-based Cognitive Fatigue Detection of Demanding Computer Tasks', 2015 37TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC), International Conference of the IEEE Engineering in Medicine and Biology Society, IEEE, Milano, Italy, pp. 7594-7597.
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Chai, R, Tran, Y, Craig, A, Ling, SH, Nguyen, HT & IEEE 1970, 'Enhancing Accuracy of Mental Fatigue Classification using Advanced Computational Intelligence in an Electroencephalography System', 2014 36TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC), International Conference of the IEEE Engineering in Medicine and Biology Society, IEEE, Chicago, IL, USA, pp. 1338-1341.
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Keywords: decision-making systems, non-invasive identifictaion, health status

FOR Codes: Neural, Evolutionary and Fuzzy Computation, Neurosciences not elsewhere classified, Instrumentation not elsewhere classified, Evolutionary computation

Acknowledgement of Country

UTS acknowledges the Gadigal people of the Eora Nation, the Boorooberongal people of the Dharug Nation, the Bidiagal people and the Gamaygal people, upon whose ancestral lands our university stands. We would also like to pay respect to the Elders both past and present, acknowledging them as the traditional custodians of knowledge for these lands.