Research Topics
| Hung T NguyenSummaryAffiliation: University of Technology Country: Australia Publications
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Detail Information
Publications
Real-time detection of nocturnal hypoglycemic episodes using a novel non-invasive hypoglycemia monitorHung T Nguyen
University of Technology, Sydney, Broadway, NSW, Australia
Conf Proc IEEE Eng Med Biol Soc 2009:3822-5. 2009..Using the optimal Bayesian neural network which was derived from the training set with the highest log evidence, the estimated blood glucose profiles produced a significant correlation (P<0.02) against measured values in the test set...
Detection of hypoglycemic episodes in children with type 1 diabetes using an optimal Bayesian neural network algorithmHung T Nguyen
Faculty of Engineering, University of Technology, Sydney, Broadway, NSW 2007, Australia
Conf Proc IEEE Eng Med Biol Soc 2007:3140-3. 2007..Using an optimal Bayesian neural network with 11 hidden nodes, and an algorithm developed from the training set, a sensitivity of 0.8346 and specificity of 0.6388 were achieved for the test set...- Detection of nocturnal hypoglycemic episodes using EEG signalsHung T Nguyen
Faculty of Engineering and Information Technology, University of Technology, Sydney, Broadway, NSW 2007, Australia
Conf Proc IEEE Eng Med Biol Soc 2010:4930-3. 2010..Using the optimal Bayesian neural network which was derived from the training set with the highest log evidence, the estimated blood glucose profiles produced a significant correlation (P〈0.005) against measured values in the test set... - Detection of nocturnal hypoglycemic episodes (natural occurrence) in children with Type 1 diabetes using an optimal Bayesian neural network algorithmHung T Nguyen
Faculty of Engineering, University of Technology, Sydney, Broadway, NSW 2007, Australia
Conf Proc IEEE Eng Med Biol Soc 2008:1311-4. 2008..Using the optimal Bayesian neural network with 10 hidden nodes which was derived from the training set with the highest log evidence, the sensitivity (true positive) value for detection of hypoglycemia in the test set is 89.2%... - Advanced obstacle avoidance for a laser based wheelchair using optimised Bayesian neural networksHoang T Trieu
University of Technology, Sydney, Broadway, NSW, Australia
Conf Proc IEEE Eng Med Biol Soc 2008:3463-6. 2008..Then these networks are trained under the supervision of Bayesian rule. Experiment results showed that compare to the VFH algorithm our neural networks navigated a smoother path following a near optimum trajectory... - Bayesian recursive algorithm for width estimation of freespace for a power wheelchair using stereoscopic camerasThanh H Nguyen
Faculty of Engineering, University of Technology, Sydney, Broadway, NSW 2007, Australia
Conf Proc IEEE Eng Med Biol Soc 2008:4234-7. 2008..Given the probabilities of this width computed, a possible movement decision is then made for the mobile wheelchair. Experimental results obtained in an indoor environment show the effectiveness of this estimation algorithm... - Shared control strategies for obstacle avoidance tasks in an intelligent wheelchairHoang T Trieu
Faculty of Engineering, University of Technology, Sydney, Broadway, NSW 2007, Australia
Conf Proc IEEE Eng Med Biol Soc 2008:4254-7. 2008..The experiments show promising results in the intelligent wheelchair system... - Transient and steady state estimation of human oxygen uptake based on noninvasive portable sensor measurementsSteven W Su
The Faculty of Engineering, University of Technology, Sydney, Australia
Med Biol Eng Comput 47:1111-7. 2009..It was observed that the resulting nonlinear multivariable model could not only achieve a better estimate compared with single input single output models, but also had greater potential to improve reliability... - Development of a Bayesian recursive algorithm to find free-spaces for an intelligent wheelchairAnh V Nguyen
Faculty of Engineering and Information Technology, University of Technology, Sydney, Broadway, NSW 2007, Australia
Conf Proc IEEE Eng Med Biol Soc 2011:7250-3. 2011..Then, an autonomous navigation algorithm will assist to manoeuvre the wheelchair in the chosen free-space. Experiment results demonstrate that the new method provides excellent performance with great flexibility and fast response... - Semi-autonomous wheelchair system using stereoscopic camerasJordan S Nguyen
Faculty of Engineering and Information Technology, University of Technology, Sydney, Broadway, NSW, Australia
Conf Proc IEEE Eng Med Biol Soc 2009:5068-71. 2009..Experimental results obtained in an indoor environment displayed the effectiveness of this assistive technology... - Neuro-sliding mode multivariable control of a powered wheelchairNghia Nguyen
University of Technology, Sydney, Broadway, NSW, Australia
Conf Proc IEEE Eng Med Biol Soc 2008:3471-4. 2008..Real-time experimental results confirm that robust performance for this multivariable wheelchair control system under model uncertainties and unknown external disturbances can indeed be achieved... - Natural occurrence of nocturnal hypoglycemia detection using hybrid particle swarm optimized fuzzy reasoning modelSai Ho Ling
Centre for Health Technologies, Faculty of Engineering and Information Technology, University of Technology Sydney, 1 Broadway, Ultimo, NSW 2007, Australia
Artif Intell Med 55:177-84. 2012..This paper will make a contribution to knowledge in the modeling and design of a non-invasive hypoglycemia monitor for patients with type 1 diabetes mellitus (T1DM) using a fuzzy-reasoning system... - Semi-autonomous wheelchair developed using a unique camera system configuration biologically inspired by equine visionJordan S Nguyen
Faculty of Engineering and Information Technology, University of Technology, Sydney, Broadway, NSW 2007, Australia
Conf Proc IEEE Eng Med Biol Soc 2011:5762-5. 2011.... - Neural-network detection of hypoglycemic episodes in children with type 1 diabetes using physiological parametersHung T Nguyen
Key Univ. Res. Centre for Health Technol, Univ. of Technol, Sydney, NSW, Australia
Conf Proc IEEE Eng Med Biol Soc 1:6053-6. 2006..9516 and specificity of 0.4142 were achieved for the test set. A more advanced neural network algorithm will be developed to improve the specificity of test sets in the near future... - Fast tracking of a given heart rate profile in treadmill exerciseKaili Weng
Faculty of Engineering, University of Technology Sydney, Broadway, NSW, 2007 Australia
Conf Proc IEEE Eng Med Biol Soc 2010:2569-72. 2010..The performance of the SIMO and SISO control systems are compared through the closed loop responses recorded during experimentation. This would also help future development of safe treadmill exercise system... - Robust neuro-sliding mode multivariable control strategy for powered wheelchairsTuan Nghia Nguyen
Faculty of Engineering, University of Technology, Sydney, NSW 2007, Australia
IEEE Trans Neural Syst Rehabil Eng 19:105-11. 2011..The obtained results confirm that robustness and desired performance of the overall system are guaranteed, even under parameter uncertainty and external disturbance effects... - Robust multivariable strategy and its application to a powered wheelchairNghia Nguyen
Faculty of Engineering, University of Technology, Sydney, Broadway, NSW 2007, Australia
Conf Proc IEEE Eng Med Biol Soc 2009:7114-7. 2009.... - Rate estimation for the monitoring of rehabilitation exercisesKaili Weng
Faculty of Engineering, University of Technology, Sydney, Broadway, NSW 2007, Australia
Conf Proc IEEE Eng Med Biol Soc 2009:6267-70. 2009..Experimental results indicate that the proposed methods can effectively detect pace rate from TA and heart rate from ECG and remove undesirable spikes... - Adaptive shared control strategies based in the Bayesian recursive technique in an intelligent wheelchairHoang T Trieu
Faculty of Engineering and Information Technology, University of Technology, Sydney, Broadway, NSW 2007, Australia
Conf Proc IEEE Eng Med Biol Soc 2009:7118-21. 2009..The most appropriate task is chosen to be the with the highest evidence value. Experimental results show significant performance improvements compared to our previously reported shared control methods... 
Unsupervised machine-learning method for improving the performance of ambulatory fall-detection systemsMitchell Yuwono
Faculty of Engineering and IT, University of Technology Sydney, NSW, 2007, Australia
Biomed Eng Online 11:9. 2012..However, research suggests that most current approaches can tend to have insufficient sensitivity and specificity in non-laboratory environments, in part because impacts can be experienced as part of ordinary daily living activities...- Optimal path-following control of a smart powered wheelchairNghia Nguyen
Faculty of Engineering, University of Technology, Sydney, Broadway, NSW 2007, Australia
Conf Proc IEEE Eng Med Biol Soc 2008:5025-8. 2008..After the calibration, the accuracy is improved significantly. Two real-time experimental results obtained from square tracking and door passing tasks confirm the performance of proposed approach... - Performance of dry electrode with bristle in recording EEG rhythms across brain state changesVangu Kitoko
Faculty of Engineering, University of Technology, Key University Research Centre for Health Technologies, NSW 2000, Australia
Conf Proc IEEE Eng Med Biol Soc 2011:59-62. 2011..Although, B-electrode has shown a slightly higher performance compared with G-electrode in both tasks, but analyse did not reveal any significant differences between both electrodes in all six subjects tested... - Real-time obstacle detection for an autonomous wheelchair using stereoscopic camerasThanh H Nguyen
Faculty of Engineering, University of Technology, Sydney, Broadway, NSW 2007, Australia
Conf Proc IEEE Eng Med Biol Soc 2007:4775-8. 2007..Experiment results obtained in a practical environment show the effectiveness of this real-time implementation... - Obstacle avoidance for power wheelchair using bayesian neural networkHoang T Trieu
Faculty of Engineering, University of Technology, Sydney, Broadway, NSW 2007, Australia
Conf Proc IEEE Eng Med Biol Soc 2007:4771-4. 2007..Initial results suggest this approach provides an effective solution for autonomous tasks, suggesting Bayesian neural networks may be useful for wider assistive technology applications... - Real-time performance of a hands-free semi-autonomous wheelchair system using a combination of stereoscopic and spherical visionJordan S Nguyen
Faculty of Engineering and Information Technology, University of Technology, Sydney, Broadway, NSW 2007, Australia
Conf Proc IEEE Eng Med Biol Soc 2012:3069-72. 2012.... - Identification of hypoglycemic states for patients with T1DM using various parameters derived from EEG signalsLien B Nguyen
Centre for Health Technologies, Faculty of Engineering and Information Technology, University of Technology, Sydney, Broadway, NSW 2007, Australia
Conf Proc IEEE Eng Med Biol Soc 2011:2760-3. 2011..Furthermore, signals from different channels are also analyzed to observe the contributions of each channel to the performance of hypoglycemia classification... - Block based neural network for hypoglycemia detectionPhyo Phyo San
Centre for Health Technologies, Faculty of Engineering and IT, University of Technology Sydney, Ultimo, NSW, Australia
Conf Proc IEEE Eng Med Biol Soc 2011:5666-9. 2011..The simulation results shows that the proposed algorithm, BBNN with HPSOWM can successfully detect the hypoglycemic episodes in T1DM in term of testing sensitivity (76.74%) and test specificity (50.91%)... - Electrocardiographic T-wave peak-to-end interval for hypoglycaemia detectionSteve Ling Nuryani
Centre for Health Technologies, Faculty of Engineering and Information Technology, University of Technology, Sydney, Broadway, NSW 2007, Australia
Conf Proc IEEE Eng Med Biol Soc 2010:618-21. 2010.... - Human computer interaction using hand gestureSilas Wan
University of Technology, Sydney, Broadway, NSW 2007, Australia
Conf Proc IEEE Eng Med Biol Soc 2008:2357-60. 2008..The results demonstrate the feasibility of controlling home appliances using hand gestures and would present an opportunity for a section of the aging population and disabled people to lead a more independent life... - Improved head direction command classification using an optimised Bayesian neural networkSon T Nguyen
Key University Research Centre for Health Technologies, University of Technology, Sydney, NSW, Australia
Conf Proc IEEE Eng Med Biol Soc 1:5679-82. 2006..The experimental results show that with the optimised architecture, classification Bayesian neural networks can detect head commands of wheelchair users accurately irrespective to their levels of injuries... - Genetic-algorithm-based multiple regression with fuzzy inference system for detection of nocturnal hypoglycemic episodesSteve S H Ling
Centre for Health Technologies, Faculty of Engineeringand Information Technology, University of Technology, Sydney, NSW 2007, Australia
IEEE Trans Inf Technol Biomed 15:308-15. 2011..The overall data were organized into a training set (eight patients) and a testing set (another eight patients) randomly selected. The results show that the proposed algorithm performs a good sensitivity with an acceptable specificity... - Spherical vision cameras in a semi-autonomous wheelchair systemJordan S Nguyen
Faculty of Engineering and Information Technology, University of Technology, Sydney, Broadway, NSW 2007, Australia
Conf Proc IEEE Eng Med Biol Soc 2010:4064-7. 2010..This assistive technology has the purpose of automated obstacle detection, navigational path planning and decision-making, and collision avoidance during navigation... - Toward fewer EEG channels and better feature extractor of non-motor imagery mental tasks classification for a wheelchair thought controllerRifai Chai
Centre for Health Technologies, Faculty of Engineering and Information Technology, University of Technology, Sydney, Broadway NSW 2007, Australia
Conf Proc IEEE Eng Med Biol Soc 2012:5266-9. 2012..However, the HHT based method provides an improved accuracy between 70% and 84% for the classification of three discriminative tasks using two EEG channels... - An adaptive strategy of classification for detecting hypoglycemia using only two EEG channelsLien B Nguyen
Centre for Health Technologies, Faculty of Engineering and Information Technology, University of Technology, 15 Broadway, Sydney, NSW 2007, Australia
Conf Proc IEEE Eng Med Biol Soc 2012:3515-8. 2012..By adapting the classifier to a previously unseen person, the classification results can be improved from 60% sensitivity and 54% specificity to 75% sensitivity and 67% specificity... - Gait cycle spectrogram analysis using a torso-attached inertial sensorMitchell Yuwono
Faculty of Engineering and Information Technology, University of Technology, Sydney, Ultimo, 2007 NSW, Australia
Conf Proc IEEE Eng Med Biol Soc 2012:6539-42. 2012..70% sensitivity and 97.70% specificity. Limitations of the method include instability associated with manual fine-tuning of local and global threshold levels... - Gait episode identification based on wavelet feature clustering of spectrogram imagesMitchell Yuwono
Faculty of Engineering and Inforrnation Technology, University of Technology, Sydney, Ultimo, 2007, NSW, Australia
Conf Proc IEEE Eng Med Biol Soc 2012:2949-52. 2012..A pilot study of 11 participants suggests that our approach is able to distinguish between walk and non-walk activities with up to 85.71% sensitivity and 91.34% specificity... - Optimization strategies for rapid centroid estimationMitchell Yuwono
Faculty of Engineering and Information Technology, University of Technology, Sydney, Ultimo, 2007, NSW, Australia
Conf Proc IEEE Eng Med Biol Soc 2012:6212-5. 2012..3%±1.1% in 9±5 iterations) followed by RCE+ (89%±3.5% in 65±62 iterations) and RCE (87%±5.9% in 54±44). Similar quality is also reflected in other benchmark datasets including Iris, Wine, Breast Cancer, and Diabetes... - Development of a Bayesian neural network to perform obstacle avoidance for an intelligent wheelchairAnh V Nguyen
Faculty of Engineering and Information Technology, University of Technology, Sydney, Broadway, NSW 2007, Australia
Conf Proc IEEE Eng Med Biol Soc 2012:1884-7. 2012..The experiment results demonstrated that this new approach provides safety, smoothness for autonomous tasks and significantly improves the performance of the system in difficult tasks such as door passing... - Advanced robust tracking control of a powered wheelchair systemNghia T Nguyen
Faculty of Engineering, University of Technology, Sydney, Broadway, NSW 2007, Australia
Conf Proc IEEE Eng Med Biol Soc 2007:4767-70. 2007..The results obtained from the real-time implementation confirm that robust performance for this multivariable wheelchair control system can indeed be achieved... - Portable sensor based dynamic estimation of human oxygen uptake via nonlinear multivariable modellingSteven W Su
Human Performance Group, Biomedical Systems Lab, School of Electrical Engineering and Telecommunications University of New South Wales, UNSW Sydney, NSW, Australia
Conf Proc IEEE Eng Med Biol Soc 2008:2431-4. 2008..The established multivariable model has also the potential to facilitate dynamic estimation of energy expenditure for outdoor exercises, which is the next research step of this study... - Intelligent detection of hypoglycemic episodes in children with type 1 diabetes using adaptive neural-fuzzy inference systemPhyo Phyo San
Centre for Health Technologies, Faculty of Engineering and IT, University of Technology Sydney, Ultimo, NSW, Australia
Conf Proc IEEE Eng Med Biol Soc 2012:6325-8. 2012..The effectiveness of the proposed detection method is found to be satisfactory by giving better sensitivity, 79.09% and acceptable specificity, 51.82%... - The detection of Freezing of Gait in Parkinson's disease patients using EEG signals based on Wavelet decompositionA M Ardi Handojoseno
Faculty of Engineering and Information Technology, University of Technology, Sydney, Broadway, NSW 2007, Australia
Conf Proc IEEE Eng Med Biol Soc 2012:69-72. 2012..This results have proved the feasibility of utilized EEG in future treatment of FOG... - Mental task classifications using prefrontal cortex electroencephalograph signalsRifai Chai
Centre for Health Technologies, Faculty of Engineering and Information Technology, University of Technology, Sydney, Broadway NSW 2007, Australia
Conf Proc IEEE Eng Med Biol Soc 2012:1831-4. 2012..The classification accuracy for five subjects, mental tasks vs. baseline task resulted in average accuracy is 73% and the average accuracy for pairs of mental task combinations is 72%... - Identification of hypoglycemia and hyperglycemia in type 1 diabetic patients using ECG parametersLinh Lan Nguyen
Centre for Health Technologies, Faculty of Engineering and Information Technology, University of Technology, Sydney, Broadway, NSW 2007, Australia
Conf Proc IEEE Eng Med Biol Soc 2012:2716-9. 2012..The results indicated that hypoglycemic and hyperglycemic states produce significant inverse changes on those ECG parameters...