Publications

Articles in peer-reviewed journals

  1. C. Kuo #, C. Zhang, R. Rissman, and A.W.L. Chiu, “Long-term electrophysiological and behavior analysis on the improvement of visual working memory load, training gains and transfer benefits”, Journal of Behavioral and Brain Science, 4:234-246, 2014.
  2. P.J. Savarraj #, and A.W.L. Chiu, “Network dynamics and spontaneous oscillations in a developing neuronal culture”, American Journal of Biomedical Engineering, 4(1): 17-24, 2014.
  3. M. Fontana # and A.W.L. Chiu, “Analysis of electrode shift effects on wavelet features embedded in a myoelectric pattern recognition system”, Assistive Technology, 26: 71-80, 2014.
  4. Ramezani #, W. Chen # and A.W.L. Chiu, “Analysis of glutamatergic and GABAergic receptor dynamics in coupled oscillator neural model”, International Journal of Modelling and Simulation, 33(3):5726, 2013.
  5. T. Liu #, C.C. Kuo # and A.W.L. Chiu, “Nonlinear Granger causality and its frequency decomposition in decoding human upper limb movement intentions”, International Journal of Biomedical Engineering and Technology, 12(1): 1-25, 2013.
  6. W.L. Chiu, H. Gadi #, D.W. Moller #, T.A. Valiante and D.M. Andrade, “Multistage preictal seizure analysis using hidden Markov model”, International Journal of Biomedical Engineering and Technology, 10(2): 160-173, 2012.
  7. F. Pasluosta # and A.W.L. Chiu, “Evaluation of a neural network-based control strategy for a cost-effective externally-powered prosthesis”, Assistive Technology, 24(3): 196-208, 2012.
  8. C. Kuo #, J.L. Knight #, C.A. Dressel * and A.W.L. Chiu, “Non-invasive BCI for the decoding of intended arm reaching movement in prosthetic limb control”, American Journal of Biomedical Engineering, 2(4):155-162, 2012.
  9. Chen #, D.O. Cahoy, J.G. Tasker and A.W.L. Chiu, “Kernel duration and modulation gain in a coupled oscillator model and their implications on the progression of seizures”, Network: Computation in Neural Systems, 23(1-2):59-75, 2012.
  10. Zhang, C.C. Kuo #, A.W.L. Chiu and J. Feng, “Prediction of S-glutathionylated proteins progression in Alzheimer’s transgenic mouse model using principle component analysis”, Journal of Alzheimer’s disease, 30(4): 919–934, 2012.
  11. D. Sellers # and A.W.L. Chiu, “The design and evaluation of a multi-sensory vibrotactile feedback system for a myoelectric prosthetic hand”, International Journal of Biomechatronic and Biomedical Robotics, 1(4): 225-231, 2011.
  12. Cotic, A.W.L. Chiu, S.S. Jahromi, P.L. Carlen and B.L. Bardakjian, “Common time-frequency analysis of local field potential and pyramidal cell activity in seizure-like events of the rat hippocampus”, Journal of Neural Engineering, 8(4): 046024, 2011.
  13. W.L. Chiu, “Incorporation of 3D neuronal I-V characteristics in artificial neural networks: I. Algorithm”, Journal of Computational Simulation and Modeling, 1(2): 17-26, 2011.
  14. W.L. Chiu, M. Derchansky, M. Cotic, P.L. Carlen, S.O. Turner * and B.L. Bardakjian, “Wavelet-based Gaussian-mixture hidden Markov model for the detection of multistage dynamics in seizure episode: A proof-of-concept study”, Biomedical Engineering Online, 10:29, 2011.
  15. M. Fontana # and A.W.L. Chiu, “Control of prosthetic device using support vector machine signal classification technique”, American Journal of Biomedical Sciences, 1(4): 336-343, 2009.
  16. F. Pasluosta #, H. Tims and A.W.L. Chiu, “Slippage sensory feedback and nonlinear force control system for a low-cost prosthetic hand”, American Journal of Biomedical Sciences, 1(4): 295-302, 2009.
  17. N.Y. Aziz, R. Karakiewicz, R. Genov, A.W.L. Chiu, B.L. Bardakjian, M. Derchansky and P.L. Carlen, “On-silicon neural activity monitoring and time-frequency analysis for epileptic seizure prediction”, IEEE Transactions on Neural Systems and Rehabilitation Engineering, pp. 1-11, 2009.
  18. W.L. Chiu, S. S. Jahromi, H. Khosravani, P.L. Carlen and B.L. Bardakjian, “The effects of high frequency oscillations in hippocampal electrical activities on the classification of epileptiform events using artificial neural networks”, Journal of Neural Engineering, 3: 9-20, 2006.
  19. W.L. Chiu, E.E. Kang, M. Derchansky, P.L. Carlen and B.L. Bardakjian, “Online prediction of onsets of seizure-like events in hippocampal neural networks using wavelet artificial neural networks”, Annals of Biomedical Engineering, 34(2): 282-294, 2006.
  20. W.L. Chiu, S. Daniel, H. Khosravani, P.L. Carlen and B.L. Bardakjian, “Predicting the seizure onset in an in-vitro hippocampal slice model of epilepsy using Gaussian-based and wavelet-based artificial neural networks”, Annals of Biomedical Engineering, 33(6):798-810, 2005.
  21. W.L. Chiu and B.L. Bardakjian, “Control of state transitions in an in-silico model of epilepsy using small perturbations”, IEEE Transactions on Biomedical Engineering, 51(10):1856-1859, 2004.
  22. W.L. Chiu and B.L. Bardakjian, “Stochastic and coherence resonance in an in-silico neural model”, Annals of Biomedical Engineering, 32(5):732-743, 2004.

Peer-reviewed proceeding papers

  1. Brackin, A. Bernal, A. Chiu, R. House, G. Livesay, J. McCormack, S. Mohan, R. Rogge, A. Watt, and K.C. Dee, “An engineering design-oriented first year biomedical engineering curriculum”, ASEE Annual Conference & Exposition BED division, Salt Lake City, UT, 2018.
  2. Wollowski, C. Berry, R. Winck, A. Jern, D. Voltmer, A.W.L. Chiu, and Y. Shibberu, “A data-driven approach towards human-robot collaborative problem solving in a shared space”, Association for the Advancement of Artificial Intelligence Fall Symposium, 2017.
  3. T. Liu #, C.C. Kuo # and A.W.L. Chiu, “EEG theta rhythm analysis using nonlinear Granger causality and approximate decomposition for decoding of motor intention”, Proceedings of the 34th Annual International Conference of the IEEE EMBS 2012: 5194-5197, 2012.
  4. Chen # and A.W.L. Chiu, “Oscillator-based postictal stimuli prolong the intervals between in vitro Mg-free seizure episodes in hippocampal slice preparation”, Proceedings of the 34th Annual International Conference of the IEEE EMBS 2012: 839-842, 2012.
  5. W. Moller # and A.W.L. Chiu, “Noise assisted intrinsic mode function coherence for seizure anticipation”, Proceedings of the 33rd Annual International Conference of the IEEE EMBS 2011: 8287-8290, 2011.
  6. C. Kuo #, W.S. Lin #, C.A. Dressel * and A.W.L. Chiu, “Classification of intended motor movement using surface EEG ensemble empirical mode decomposition”, Proceedings of the 33rd Annual International Conference of the IEEE EMBS 2011: 6281-6284, 2011.
  7. T. Liu #, C.C. Kuo # and A.W.L. Chiu, “Statistical threshold for nonlinear Granger causality computation in motor intention analysis”, Proceedings of the 33rd Annual International Conference of the IEEE EMBS 2011: 5036-5039, 2011.
  8. W. Moller # and A.W.L. Chiu, “Seizure anticipation of IEEG using intrinsic mode function coherence”, International Journal of Medical Implants and Devices, 5(2): 101, 2011.
  9. C. Kuo #, M. Liu #, W. Lin #, C.A. Dressel * and A.W.L. Chiu, “Surface EEG brain computer interface for the causality analysis and classification of the intended arm movement direction”, International Journal of Medical Implants and Devices, 5(2): 76, 2011.
  10. G. Rao # and A.W.L. Chiu, “Enhance signal detection in auto-associative CA3 pyramidal neuron model using electric field noise”, IFMBE Proceedings, 24(9): 131-132, 2009.
  11. Aziz, R. Karakiewicz, R. Genov, A.W.L. Chiu, B.L. Bardakjian, M. Derchansky and P.L. Carlen, “In vitro epileptic seizure prediction microsystem”, Proceedings of the IEEE International Symposium on Circuits and Systems 2006: 3115-3118, 2006.
  12. A. Valiante, A.W.L. Chiu and B.L. Bardakjian, “Neural codes in human extracranial EEG: identification of epilepsy features”, Proceedings of the 27th Annual International Conference of the IEEE-EMBS 2005: 432-435, 2005.
  13. W.L. Chiu, M. Derchansky, E.E. Kang, P.L. Carlen and B.L. Bardakjian, “Prevention of spontaneous seizure-like events in both in-silico and in-vitro epilepsy models”, Proceedings of the 27th Annual International Conference of the IEEE-EMBS 2005: 3597-3600, 2005.
  14. W.L. Chiu and B.L. Bardakjian, “Stochastic resonance in an in-silico neural model”, Proceedings of the 25th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2: 1925- 1928, 2003.
  15. L. Bardakjian, A.W.L. Chiu and A. Courville, “A connectionist perspective on detection and control of epileptic seizures”, Proceedings of the second Joint Meeting of the EMBS/BMES conference, 3: 2021-2022, 2002.
  16. L. Bardakjian and A.W.L. Chiu, “Acceleration of learning in hybrid neural networks: A novel approach for the design of brain chaosmakers”, Proceedings of the 23th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 1: 687-690, 2001.

Abstract Supplements in National/International Meetings

  1. H. Huges*, T. Millard*, and A.W.L. Chiu, “Selective attention and the effects of mismatched priming factors on the evoked response potentials of mental arithmetic processes”, Society for Neuroscience Annual Meeting, Chicago, IL, October 2019.
  2. N. Baker*, C.L. Shen*, S.J. Panzenhagen*, B. Clark*, D.H. Hughes*, and A.W.L. Chiu, “Multimodal ERP analysis of mental arithmetic processing performance and its relationship to selective attention, and fatigue”, Society for Neuroscience Annual Meeting, San Diego, CA, November 2018.
  3. H. Hughes*, M.N. Baker*, C.L. Shen*, S.J. Panzenhagen*, B. Clark*, and A.W.L. Chiu, “Selective attention in error identifications in visual and auditory tasks”, Abstract Supplement for the BMES Annual Fall Meeting, Atlanta, GA, October, 2018.
  4. W.L. Chiu, M. Thakker *, M.J. Frondorf *, and W.-W. Jeong *, “Delays in visually evoked positive deflections in EEG depends on the way errors and unexpected outcomes in mental arithmetic are represented”, Abstract Supplement for the BMES Annual Fall Meeting, Tampa, FL, October, 2015.
  5. Frondorf *, A.W.L. Chiu, M. Thakker *, and W.-W. Jeong *,”Event-related potentials analysis of mental arithmetic processing caused by numerical versus symbolic stimulation”, Society for Neuroscience Annual Meeting, Chicago, IL, October 2015.
  6. C. Kuo #, C. Zhang, and A.W.L. Chiu, “Electrophysiological and behavioral cognition reveals the influence of working memory load, training gains and transfer benefits”, Society for Neuroscience Annual Meeting, New Orleans, LA, October 2012.
  7. Chen #, D.O. Cahoy, J.G. Tasker, D.F. Bankard * and A.W.L. Chiu, “The relationship between oscillator model parameters and experimental magnesium concentration in a hippocampal seizure network: A preliminary spike train analysis”, Abstract Supplement for the BMES Annual Fall Meeting, Hartford, CT, October 2011.
  8. Ramezani # and A.W.L. Chiu, “Glutamate receptor dynamics in coupled oscillator model: A preliminary analysis of network complexity”, Abstract Supplement for the BMES Annual Fall Meeting, Hartford, CT, October 2011.
  9. Zhang, C.C. Kuo #, A.W.L. Chiu and J. Feng, “Towards a computer simulation platform for the glutathione redox cycle in an Alzheimer’s transgenic mouse model”, Abstract Supplement for the BMES Annual Fall Meeting, Hartford, CT, October 2011.
  10. D. Sellers # and A.W.L. Chiu, “The design and evaluation of a three-variable vibrotactile feedback system for a myoelectric arm”, Abstract Supplement for the BMES Annual Fall Meeting, Austin, TX, October 2010.
  11. F. Pasluosta # and A.W.L. Chiu, “Evaluation of an optimized control strategy for a low-cost prosthetic hand”, Abstract Supplement for the BMES Annual Fall Meeting, Austin, TX, October 2010.
  12. M. Fontana # and A.W.L. Chiu, “Feature projection framework to improve the performance of a myoelectric pattern recognition system”, Abstract Supplement for the BMES Annual Fall Meeting, Austin, TX, October 2010.
  13. W.L. Chiu and D.W. Moller #, “Modeling time-frequency features of in-vitro and human seizures using Markov processes and unsupervised clustering techniques”. 3rd Annual National iDeA Symposium of Biomedical Research Excellence, Bethesda, MD, June 2010.
  14. W.L. Chiu, J.P.J. Savarraj # and S. Ramezani #, “Computational coupled oscillator models for small networks of patterned hippocampal neurons”. 3rd Annual National iDeA Symposium of Biomedical Research Excellence, Bethesda, MD, June 2010.
  15. F. Pasluosta #, H. Tims and A.W.L. Chiu, “Towards a low-cost robotic hand for upper-limb prosthetic applications”, 14th IASTED International Conference on Robotics and Applications, Cambridge, MA, November 2009.
  16. M. Puno # and A.W.L. Chiu, “Learning rules for a novel biologically-inspired neural network paradigm with 3D activation function”, Abstract Supplement for BMES Annual Fall Meeting, St. Louis, MO, October 2008.
  17. Gadi #, D.W. Moller #, T.A. Valiante, D. Andrade and A.W.L. Chiu, “Spatial time-frequency analysis and non-parametric classification of human IEEG recordings using HMM”, Abstract Supplement for BMES Annual Fall Meeting, St. Louis, MO, October 2008.
  18. Mian, A. Hussain, M. Cotic, A.W.L. Chiu and B.L. Bardakjian, “Spatiotemporal tracking of electrical activities in neuronal networks”, Abstract Supplement for BMES Annual Fall Meeting, Chicago, IL, October 2006.
  19. W.L. Chiu, M. Derchansky and B.L. Bardakjian, “Real-time estimation of seizure onsets in an in-vitro hippocampal epilepsy model using WANNs”, Abstract Supplement for BMES Annual Fall Meeting, Philadelphia, PA, October 2004.
  20. W.L. Chiu and B.L. Bardakjian, “Efficiency of learning in artificial neural networks”, Abstract Supplement for BMES Annual Fall Meeting, Durham, NC, October 2001.