Advanced Rehabilitative Technology. Neural Interfaces and Devices

Table of Contents

1. Introduction
2. State of the Art
3. Neuromuscular Signal Acquisition and Pre-Processing
4. EMG-Based Motion Recognition
5. Brain Signal Acquisition and Pre-Processing
6. EEG-Based Brain Intention Recognition
7. Neuromuscular Modelling
8. Neural Interfaces
9. Neural Devices
10. Conclusion

Authors

Qingsong Ai Professor, School of Information Engineering, Wuhan University of Technology. Qingsong Ai is currently a Professor at Wuhan University of Technology and a Senior Editor of Cogent Engineering. He is an author of more than 50 technical publications, proceedings, and editorials. In recent years, he has directed more than 10 research projects. His research interests include signal processing, rehabilitation robots, and advanced manufacturing technology. Quan Liu Professor in School of Information Engineering, Wuhan University of Technology. Quan Liu is currently a Professor in School of Information Engineering at Wuhan University of Technology. In the past 5 years, she authored more than 60 technical publications, proceedings, editorials, and books. She has directed more than 20 research projects. Her research interests include signal processing, embedded systems, and robots and electronics. Prof. Liu received two national awards and three provincial and ministerial awards. She was awarded as the "National Excellent Teacher” in 2007. She is a Council Member of the Chinese Association of Electromagnetic Compatibility and the Hubei Institute of Electronics. Wei Meng Lecturer, School of Information Engineering, Wuhan University of Technology. Wei Meng is currently a Lecturer at the School of Information Engineering, Wuhan University of Technology. His research interests include robot-assisted rehabilitation, human-robot interaction, and iterative learning control. He has co-authored 2 books, published more than 30 academic journal and conference papers, and holds 3 patents. Sheng Quan Xie Chair Professor in Robotics and Autonomous Systems, Faculty of Engineering, University of Leeds, UK. Sheng Quan Xie is currently a Chair Professor in Robotics and Autonomous Systems, at the Faculty of Engineering, University of Leeds. He has published 7 books, 15 book chapters, and more than 300 international journal and conference papers. His current research interests include medical and rehabilitation robots and advanced robot control. Prof. Xie was elected a Fellow of The Institution of Professional Engineers New Zealand in 2016. He has also served as a Technical Editor of the IEEE/ASME TRANSACTIONS ON MECHATRONICS.