Hung T Nguyen

Summary

Affiliation: University of Technology
Country: Australia

Publications

  1. ncbi request reprint Electro-optical and dielectric characterizations of the Goldstone mode relaxation in ferroelectric chiral smectic C liquid crystals
    J Hemine
    Laboratoire de Physique de la Matiere Condensee, Universite Hassan II, FST Mohammedia, BP 146, Mohammedia, Morocco
    J Phys Condens Matter 19:296203. 2007
  2. ncbi request reprint Detection of hypoglycemic episodes in children with type 1 diabetes using an optimal Bayesian neural network algorithm
    Hung T Nguyen
    Faculty of Engineering, University of Technology, Sydney, Broadway, NSW 2007, Australia
    Conf Proc IEEE Eng Med Biol Soc 2007:3140-3. 2007
  3. doi request reprint Real-time detection of nocturnal hypoglycemic episodes using a novel non-invasive hypoglycemia monitor
    Hung T Nguyen
    University of Technology, Sydney, Broadway, NSW, Australia
    Conf Proc IEEE Eng Med Biol Soc 2009:3822-5. 2009
  4. doi request reprint Detection of nocturnal hypoglycemic episodes (natural occurrence) in children with Type 1 diabetes using an optimal Bayesian neural network algorithm
    Hung T Nguyen
    Faculty of Engineering, University of Technology, Sydney, Broadway, NSW 2007, Australia
    Conf Proc IEEE Eng Med Biol Soc 2008:1311-4. 2008
  5. doi request reprint Detection of nocturnal hypoglycemic episodes using EEG signals
    Hung 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
  6. doi request reprint Advanced obstacle avoidance for a laser based wheelchair using optimised Bayesian neural networks
    Hoang T Trieu
    University of Technology, Sydney, Broadway, NSW, Australia
    Conf Proc IEEE Eng Med Biol Soc 2008:3463-6. 2008
  7. doi request reprint Bayesian recursive algorithm for width estimation of freespace for a power wheelchair using stereoscopic cameras
    Thanh H Nguyen
    Faculty of Engineering, University of Technology, Sydney, Broadway, NSW 2007, Australia
    Conf Proc IEEE Eng Med Biol Soc 2008:4234-7. 2008
  8. doi request reprint Transient and steady state estimation of human oxygen uptake based on noninvasive portable sensor measurements
    Steven W Su
    The Faculty of Engineering, University of Technology, Sydney, Australia
    Med Biol Eng Comput 47:1111-7. 2009
  9. doi request reprint Shared control strategies for obstacle avoidance tasks in an intelligent wheelchair
    Hoang T Trieu
    Faculty of Engineering, University of Technology, Sydney, Broadway, NSW 2007, Australia
    Conf Proc IEEE Eng Med Biol Soc 2008:4254-7. 2008
  10. doi request reprint Real-time performance of a hands-free semi-autonomous wheelchair system using a combination of stereoscopic and spherical vision
    Jordan 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

Collaborators

Detail Information

Publications46

  1. ncbi request reprint Electro-optical and dielectric characterizations of the Goldstone mode relaxation in ferroelectric chiral smectic C liquid crystals
    J Hemine
    Laboratoire de Physique de la Matiere Condensee, Universite Hassan II, FST Mohammedia, BP 146, Mohammedia, Morocco
    J Phys Condens Matter 19:296203. 2007
    ..An Arrhenius-type behaviour of the Goldstone rotational viscosity was obtained and the corresponding activation energies were evaluated...
  2. ncbi request reprint Detection of hypoglycemic episodes in children with type 1 diabetes using an optimal Bayesian neural network algorithm
    Hung 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...
  3. doi request reprint Real-time detection of nocturnal hypoglycemic episodes using a novel non-invasive hypoglycemia monitor
    Hung 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...
  4. doi request reprint Detection of nocturnal hypoglycemic episodes (natural occurrence) in children with Type 1 diabetes using an optimal Bayesian neural network algorithm
    Hung 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%...
  5. doi request reprint Detection of nocturnal hypoglycemic episodes using EEG signals
    Hung 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...
  6. doi request reprint Advanced obstacle avoidance for a laser based wheelchair using optimised Bayesian neural networks
    Hoang 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...
  7. doi request reprint Bayesian recursive algorithm for width estimation of freespace for a power wheelchair using stereoscopic cameras
    Thanh 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...
  8. doi request reprint Transient and steady state estimation of human oxygen uptake based on noninvasive portable sensor measurements
    Steven 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...
  9. doi request reprint Shared control strategies for obstacle avoidance tasks in an intelligent wheelchair
    Hoang 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...
  10. doi request reprint Real-time performance of a hands-free semi-autonomous wheelchair system using a combination of stereoscopic and spherical vision
    Jordan 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
    ....
  11. doi request reprint Development of a Bayesian recursive algorithm to find free-spaces for an intelligent wheelchair
    Anh 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...
  12. doi request reprint Semi-autonomous wheelchair system using stereoscopic cameras
    Jordan 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...
  13. doi request reprint Neuro-sliding mode multivariable control of a powered wheelchair
    Nghia 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...
  14. doi request reprint Gait cycle spectrogram analysis using a torso-attached inertial sensor
    Mitchell 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...
  15. doi request reprint Natural occurrence of nocturnal hypoglycemia detection using hybrid particle swarm optimized fuzzy reasoning model
    Sai 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...
  16. doi request reprint Semi-autonomous wheelchair developed using a unique camera system configuration biologically inspired by equine vision
    Jordan 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
    ....
  17. ncbi request reprint Neural-network detection of hypoglycemic episodes in children with type 1 diabetes using physiological parameters
    Hung 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...
  18. doi request reprint Development of a Bayesian neural network to perform obstacle avoidance for an intelligent wheelchair
    Anh 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...
  19. doi request reprint Robust multivariable strategy and its application to a powered wheelchair
    Nghia Nguyen
    Faculty of Engineering, University of Technology, Sydney, Broadway, NSW 2007, Australia
    Conf Proc IEEE Eng Med Biol Soc 2009:7114-7. 2009
    ....
  20. doi request reprint Fast tracking of a given heart rate profile in treadmill exercise
    Kaili 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...
  21. doi request reprint Robust neuro-sliding mode multivariable control strategy for powered wheelchairs
    Tuan 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...
  22. doi request reprint Rate estimation for the monitoring of rehabilitation exercises
    Kaili 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...
  23. doi request reprint Adaptive shared control strategies based in the Bayesian recursive technique in an intelligent wheelchair
    Hoang 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...
  24. doi request reprint Intelligent detection of hypoglycemic episodes in children with type 1 diabetes using adaptive neural-fuzzy inference system
    Phyo 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%...
  25. doi request reprint Toward fewer EEG channels and better feature extractor of non-motor imagery mental tasks classification for a wheelchair thought controller
    Rifai 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...
  26. pmc Unsupervised machine-learning method for improving the performance of ambulatory fall-detection systems
    Mitchell 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...
  27. doi request reprint Optimal path-following control of a smart powered wheelchair
    Nghia 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...
  28. doi request reprint Optimization strategies for rapid centroid estimation
    Mitchell 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...
  29. doi request reprint An adaptive strategy of classification for detecting hypoglycemia using only two EEG channels
    Lien 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...
  30. doi request reprint Gait episode identification based on wavelet feature clustering of spectrogram images
    Mitchell 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...
  31. doi request reprint Performance of dry electrode with bristle in recording EEG rhythms across brain state changes
    Vangu 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...
  32. ncbi request reprint Obstacle avoidance for power wheelchair using bayesian neural network
    Hoang 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...
  33. ncbi request reprint Real-time obstacle detection for an autonomous wheelchair using stereoscopic cameras
    Thanh 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...
  34. doi request reprint The detection of Freezing of Gait in Parkinson's disease patients using EEG signals based on Wavelet decomposition
    A 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...
  35. doi request reprint Mental task classifications using prefrontal cortex electroencephalograph signals
    Rifai 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%...
  36. doi request reprint Identification of hypoglycemic states for patients with T1DM using various parameters derived from EEG signals
    Lien 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...
  37. doi request reprint Block based neural network for hypoglycemia detection
    Phyo 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%)...
  38. doi request reprint Spherical vision cameras in a semi-autonomous wheelchair system
    Jordan 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...
  39. ncbi request reprint Improved head direction command classification using an optimised Bayesian neural network
    Son 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...
  40. doi request reprint Genetic-algorithm-based multiple regression with fuzzy inference system for detection of nocturnal hypoglycemic episodes
    Steve 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...
  41. doi request reprint Human computer interaction using hand gesture
    Silas 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...
  42. doi request reprint Electrocardiographic T-wave peak-to-end interval for hypoglycaemia detection
    Steve 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
    ....
  43. doi request reprint Identification of hypoglycemia and hyperglycemia in type 1 diabetic patients using ECG parameters
    Linh 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...
  44. doi request reprint Portable sensor based dynamic estimation of human oxygen uptake via nonlinear multivariable modelling
    Steven 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...
  45. ncbi request reprint Advanced robust tracking control of a powered wheelchair system
    Nghia 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...
  46. doi request reprint Debye parameter extraction for characterizing interaction of terahertz radiation with human skin tissue
    Bao C Q Truong
    Centre for Health Technologies, Faculty of Engineering and Information Technology, University of Technology Sydney, Sydney 2007, Australia
    IEEE Trans Biomed Eng 60:1528-37. 2013
    ..Numerical results confirm viability of our novel methodology...