PhD(HKU), M. Eng(TJU), B.Sc.(Eng.,TJU)
Principal Investigator, Director of Neural Eng. & Clin Electrophysiology Laboratory
Dr Yong Hu received his BSc and MSc degrees in the Biomedical Engineering from Tianjin University, Tianjin, China in 1985 and 1988, respectively, his PhD degree from The University of Hong Kong in 1999. He is currently an Associate professor, the director of Lab of Neural Engineering and Clinical Electrophysiology, in the Department of Orthopaedics & Traumatology, The University of Hong Kong. He is also an adjunction ‘Xiehe Chair Professor’ of Institute of Biomedical Engineering, Chinese Academy of Medical Sciences & Peking Union Medical College. His main research area is clinical electrophysiology, neural engineering, and biomedical signal processing, hardware implementation for signal processing.
Dr. Hu was awarded several prizes for his academic contributions. His paper was awarded Oldendorf Award for the best manuscript in the 34th Annual Meeting of the American Society of Neuroimaging 2011, Cum Laude Best Poster Award in SPIE Medical Imaging conference 2011 and the best paper for 2008 in Anaesth Intensive Care. He was awarded U21 fellowship in 2013, HKU overseas fellowship in 2012 respectively. In 2006 and 2007, he was awarded Macnab/Larocca Research Fellowship twice from the International Society for the Study of the Lumbar Spine (ISSLS) in his study on Using topography of surface EMG for low back pain assessment. His work on time-frequency analysis of SEP has been selected into the The Yearbook of Medical Informatics 2003.
He served as members of several international and national professional bodies and esteemed societies. He was invited to be conference chairs, session chairs in several international conferences and keynote speaker in more than 20 international or national conferences in the past 5 years. As a recognized authority in biomedical engineering and clinical electrophysiology, he has been invited to be visiting professors to many institutions.
- Clinical electrophysiology
- Neural engineering
- Neural rehabilitation
- Biomedical signal processing
- Medical Instrumentation and Measurement
- Intraoperative Electrophysiological Monitoring
- Surface Electromyography for Low Back Pain Assessment
- MRI/fMRI assessment of spinal cord function
- Hu Y, Kwok JW, Tse JY, Luk KD. Time-varying surface electromyography topography as a prognostic tool for chronic low back pain rehabilitation. Spine J. 2014 Jun 1;14(6):1049-56
- Peng W, Hu L, Zhang Z, Hu Y. Changes of spontaneous oscillatory activity to tonic heat pain. PLoS One. 2014 Mar 6;9(3):e91052
- Wen CY, Cui JL, Liu H, Mak KC, Cheung WY, Luk KD, Hu Y. Is Diffusion Anisotropy A Biomarker for Disease Severity and Surgical Prognosis of Cervical Spondylotic Myelopathy? Radiology. 2014 Jan;270(1):197-204.
- Liu H, Xie X, Xu S, Wan F, Hu Y. One-unit Second Order Blind Identification (SOBI) with Reference for Short Transient Signals. Information sciences. 2013 April; 227:90–101
- Wen CY, Cui JL, Lee MP, Mak KC, Luk KD, Hu Y. Quantitative analysis of fiber tractography in cervical spondylotic myelopathy. Spine J. 2013 Jun;13(6):697-705.
- Hu L, Zhang ZG, Hu Y. A time-varying source connectivity approach to reveal human somatosensory information processing. Neuroimage. 2012 Aug 1;62(1):217-28.
- Cui JL, Wen CY, Hu Y, Mak KC, Mak KH, Luk KD. Orientation entropy analysis of diffusion tensor in healthy and myelopathic spinal cord. Nuroimage. 2011 Oct 15;58(4):1028-33.
- Hu L, Zhang ZG, Hung YS, Luk KD, Iannetti GD, Hu Y. Single-trial detection of somatosensory evoked potentials by probabilistic independent component analysis and wavelet filtering. Clin Neurophysiol. 2011 Jul;122(7):1429-39.
- Hu Y, Wen CY, Li TH, Cheung MM, Wu EX, Luk KD. Somatosensory-Evoked Potentials as An Indicator for the Extent of Ultrastructural Damage of Spinal Cord after Chronic Compressive Injuries in a Rat Model. Clin Neurophysiol. 2011 Jul;122(7):1440-7
- Cui JL, Wen CY, Hu Y, Li TH, Luk KD. Entropy-based analysis for diffusion anisotropy mapping of healthy and myelopathic spinal cord. Neuroimage. 2011 Feb 1;54(3):2125-31.
- On-going funded research projects:
RGC GRF (HKU 767511M): Time-frequency pattern analysis of somatosensory evoked potentials for mapping cervical myelopathy.
- RGC GRF (HKU 773112M): Nutritional pathways assessment for allograft disc regeneration: an in vivo MRI study.
- RGC GRF (HKU 774211M): Plasticity of Chronically Compressive Spinal Cord After Surgical Decompression – A fMRI Study.
- Hong Kong ITF Tier 3 (ITS/119/12): A novel technology for objective low back pain rehabilitation assessment based on automatic dynamic topography analysis of lumbar muscular contraction
- S.K. Yee Medical Foundation (209207): Implementation of Individualized Brain Computer Interface Design for Spinal Cord Injury Patients