Virtual Reality Enhanced Robotic Systems for Disability Rehabilitation
Core Reference Title

Virtual Reality Enhanced Robotic Systems for Disability Rehabilitation

Noted as an IGI Global Core Reference Title in Medical, Healthcare, and Life Sciences for 2019.

Fei Hu (University of Alabama, USA), Jiang Lu (University of Houston -Clear Lake, USA) and Ting Zhang (University of Alabama, USA)
Release Date: January, 2016|Copyright: © 2016 |Pages: 383
ISBN13: 9781466697409|ISBN10: 1466697407|EISBN13: 9781466697416|DOI: 10.4018/978-1-4666-9740-9

Description

The study of technology and its implications in the medical field has become an increasingly crucial area of research. By integrating technological innovations into clinical practices, patients can receive improved diagnoses and treatments, as well as faster and safer recoveries.

Virtual Reality Enhanced Robotic Systems for Disability Rehabilitation is an authoritative reference source for the latest scholarly research on the use of computer-assisted rehabilitation methods for disabled patients. Highlighting the application of robots, sensors, and virtual environments, this book is ideally designed for graduate students, engineers, technicians, and company administrators interested in the incorporation of auto-training methods in patient recovery.

Topics Covered

The many academic areas covered in this publication include, but are not limited to:

  • Acquired Brain Injury
  • Augmented Reality
  • Biofeedback
  • Game-Based Treatment
  • Hand-Assist Technologies
  • Mobile Robots
  • Neuro-Patient Monitoring

Reviews and Testimonials

This volume brings together 15 articles on the use of virtual reality-based robotic rehabilitation methods for disabled patients. An international group of researchers describes the rehabilitation requirements and legislation for disabled patients in the US, along with different rehabilitation methods; systems that integrate virtual reality and robots, such as a system with haptics and virtual reality and a system with virtual reality and mobile robots for the treatment of children with intellectual disability; those focusing on virtual reality, namely video games for the assessment of executive functions and unilateral spatial neglect, and more.

– ProtoView Reviews

The book has a good flow of contents, starting from more general and simple to more specific and complex topics. Contents are updated and represent the latest research trends in the field of rehabilitation through virtual reality and robotics. [...] Highly Recommended. This book is an important tool for computer scientists and clinicians involved in disability rehabilitation through virtual reality and robotics since its updated and focus on emerging topics in the field.

– Ana Lúcia Faria, Neuropsychologist, Madeira Interactive Technologies Institute, Portugal

I consider this book to be one of the most outstanding examples in discussing neurologic, neuropsychological and neurorehabilitation advances; one that will bring realistic improvements to this unique research field.

– Andreia Polido de Almeida, Neuropsychologist, Instituto Superior da Maia, Porto, Portugal

...Illustrates the advantages of virtual reality in the rehabilitation process, establishing the history and evolution of the virtual reality systems. Recommended for psychiatrists, physiotherapists, occupational therapists, psychologists and neuropsychologists.

– Sara Silva, Psychologist, Centro de Reabilitação do Norte, Portugal

This title represents a good tool for professionals in the fields of engineering and other professions in the fields of robotics and virtual reality. Highly recommended for health professionals to understand how to use robotic systems and virtual reality in rehabilitation such as physical rehabilitation and neuropsychological rehabilitation. Students with interest in the field of engineering, robotics, informatics, programmers and other fields related to virtual reality and robotics may have interest in the book, as well as students of the field of health science related with rehabilitation.

– Mónica Alexandra Andrade dos Santos, Master of Clinical Psychology, University of Porto

Table of Contents and List of Contributors

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Author(s)/Editor(s) Biography

Dr. Fei Hu is currently a professor in the Department of Electrical and Computer Engineering at the University of Alabama, Tuscaloosa, Alabama, USA. He obtained his Ph.D. degrees at Tongji University (Shanghai, China) in the field of Signal Processing (in 1999), and at Clarkson University (New York, USA) in Electrical and Computer Engineering (in 2002). He has published over 200 journal/conference papers and books. Dr. Hu's research has been supported by U.S. National Science Foundation, Cisco, Sprint, and other sources. His research expertise can be summarized as 3S: Security, Signals, Sensors: (1) Security: This is about how to overcome different cyber attacks in a complex wireless or wired network. Recently he focuses on cyber-physical system security and medical security issues. (2) Signals: This mainly refers to intelligent signal processing, that is, using machine learning algorithms to process sensing signals in a smart way in order to extract patterns (i.e., pattern recognition). (3) Sensors: This includes micro-sensor design and wireless sensor networking issues.
Dr. Jiang Lu is currently an assistant professor in the Department of Computer Engineering at University of Houston – Clear Lake, Houston, Texas, USA. He obtained his Ph.D. degrees at the University of Alabama (Tuscaloosa, AL, USA) in the field of Electrical and Computer Engineering. He received Bachelor of Science degree from Shanghai Maritime University in China and Master of Science degree in Electrical and Computer Engineering from University of Florida. Dr. Lu’s research interests are in the areas of intelligent sensor systems, biomedical devices, tele-healthcare, wireless communication, signal/image processing, machine learning and embedded system designs.
Ting Zhang received the B.E. degree in computer engineering from Tianjing University, Tianjing, China in 2008, and the M.S. degree in computer science from University of Texas at Brownsville, Brownsville, TX in 2011. She is currently working toward the Ph.D. degree in Electrical and Computer Engineering at The University of Alabama, Tuscaloosa, AL. Her research interests include machine learning and pattern recognition, intelligent sensor systems, tele-healthcare, and mobile computing.

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