Virtual Reality Neurorehabilitation

Submission Deadline: 30 September 2022 (closed)

Guest Editors

Dr. Zhihan Lv
Zhihan Lv is IEEE Senior Member, British Computer Society Fellow, ACM Distinguished Speaker, Full Member of Sigma Xi, Career-long Scientific Influence Rankings of Stanford's Top 2% Scientists. He is currently a Professor of Qingdao University, China. He has been an Assistant Professor at Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences from 2012 to 2016. He received his Ph.D. from Paris7 University and Ocean University of China in 2012. He worked in CNRS (France) as Research Engineer, Umea University/ KTH Royal Institute of Technology (Sweden) as Postdoc Research Fellow, Fundacion FIVAN (Spain) as Experienced Researcher, University College London (UK) as Research Associate, University of Barcelona (Spain) as Postdoc. He was a Marie Curie Fellow in European Union's Seventh Framework Program LANPERCEPT. His research mainly focuses on Digital Twins, Internet of Things, Multimedia, Virtual Reality, Serious Game, HCI, Big data. He has more than 20 ESI highly cited papers and 6 ESI hot papers.

Dr. Min Cheol Chang
Min Cheol Chang is currently a Clinical Professor of the Department of Physical Medicine and Rehabilitation (PM & R), College of Medicine, Yeungnam University Hospital, South Korea, which is also where he earned his master of medicine. He worked as a physiatrist for the Korean Army for 3 years, and worked as a fellow in the Department of PM & R of Seoul Asan Medical Center in 2014-2015. Also, he has been a clinical fellow in the Department of PM & R, National Taiwan University Hospital, in 2019. His major research fields are Diffusion Tensor Tractography, Brain imaging, Artificial intelligence, Rehabilitation, Ultrasound, Magnetic resonance imaging, Pain Medicine, and Neuromuscular disorders.

Dr. Neil Vaughan
Neil Vaughan is IEEE senior member and a Royal Academy of Engineering Research Fellow (RFREng) since 2018-present. Professor Neil Vaughan is based at University of Exeter (Russell Group) leading and supervising research team in Data Science and AI for healthcare, in the Institute of Biomedical and Clinical Science (IBCS).

Dr. Jun Shen
Jun Shen was awarded Ph.D. in 2001 at Southeast University, China. He held positions at Swinburne University of Technology in Melbourne and University of South Australia in Adelaide before 2006. He is an Associate Professor in School of Computing and Information Technology at University of Wollongong in Wollongong, NSW of Australia, where he had been Head of Postgraduate Studies, and Chair of School Research Committee since 2014. He is a senior member of three institutions: IEEE, ACM and ACS.

Summary

Advanced medical equipment is an important foundation for constructing a health security system and the main driving force for advancing medical diagnosis and treatment. Now that computer technology develops vigorously, virtual reality has not only broad application space in the fields of games, entertainment, education, training, and aerospace but also huge application potential in the medical field. Virtual reality has three characteristics: immersion, interactivity, and conception. It is an interdisciplinary comprehensive, integrated technology involving computer graphics, human-computerinteraction, sensors, and artificial intelligence.

Nervous system diseases are mostly characterized by dyskinesia and abnormal postures, such as abnormal gait, slow movement, apraxia, and balance disorder. Virtual situation training promotes patients’ improvement in posture control, gait, cognitive function, and limb coordination through the brain’s learning and reward mechanisms. Virtual reality technology can make rehabilitation training proactive. First, it activates the corresponding nervous system; virtual reality extends the latency of the system in all steps of sensory biofeedback, such as vision by capturing movement, pressure, the center of gravity, and other information. This time extension can be perceived by the subject, repair the patient’s responsiveness, and produce neuroplasticity. Three-dimensional virtual reality can improve the cognitive function of patients with memory impairment during stroke recovery by regulating the hydrogen proton magnetic resonance spectrum metabolism of the hippocampus. This is related to the rich sensory stimulation provided by the three-dimensional virtual environment, which enhances the neurotransmitter transmission function of the dopaminergic and cholinergic systems in the patient’s body.

Virtual reality technology can provide a variety of artificial scenery, make the rehabilitation training process full of fun, and improve patients’ optimism. Applying various virtual games such as sitting posture training, standing balance training, comprehensive upper limb training, gait and walking training, psychological training, and cognitive behavior training to the rehabilitation treatment of neurological diseases can enhance the patient’s midline crossing ability, increase joints’ range of motion, promote physical stability, improve hand-eye coordination, improve long-term attention, enhance proprioception and cognitive function, improve posture control ability under multiple sensations, and are more effective than traditional rehabilitation training. 

This special issue focuses on exploring new rehabilitation methods for neurological diseases and applies the currently mature virtual reality technology to the field of neurorehabilitation, providing references for scientific researchers in the medical field to achieve more effective clinical treatments.

 

The topics of interest for the special issue include, but not limited to, the following:

Application of Virtual Reality in the Rehabilitation of Parkinson's Disease

Virtual Reality to Reduce Neuropathic Pain

Application of Virtual Reality in Stroke Rehabilitation

Virtual Reality in the Rehabilitation of Movement Disorders after Stroke

Application of Virtual Reality in Rehabilitation Treatment of Mental Illness

Neurorehabilitation Training Based on Visual Feedback

Neurorehabilitation Training Based on Neuroimaging

Evaluation of the Effect of Remote Neurorehabilitation Supported by Virtual Reality

Virtual Reality Assisted Dementia Rehabilitation Treatment



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