"Wearable Sensing and Assistive Devices for Robotic Rehabilitation" provides an overview of current research and developments in the field of innovative technologies for advanced wearable sensing and assistive devices in medical rehabilitation. This book presents a systematic investigation of the wearable acquisition and deep learning-based processing of biological signals and the applications with wearable robotic devices. It provides fundamental bio-mechatronics engineering knowledge to analyze and design new wearable sensing and assistive devices. It includes human wearable sensors design and development, biological signals acquisition and processing, brain-computer interface and neuromuscular interfaces, wearable exoskeleton and soft robotic devices, as well as human-centered interactive robot control.
Sprache
Verlagsort
Verlagsgruppe
Elsevier Science Publishing Co Inc
Zielgruppe
Maße
Höhe: 235 mm
Breite: 191 mm
Gewicht
ISBN-13
978-0-443-40463-4 (9780443404634)
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Schweitzer Klassifikation
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 five books, published more than 80 academic journal and conference papers, and holds 22 patents. Li Ma is an associate professor at Wuhan University of Technology, China. From 2015 to 2016, he was a PhD exchange student in National Taiwan University, Taiwan and a joint training PhD student at UCLA, US, from 2016 to 2018. After that, he carried on one-year postdoctoral research fellow at University of Michigan, US. His research interest includes the biomedical signal processing, especially in brain monitoring during anaesthesia, brain modelling and brain-computer interfaces, and is now focusing on the brain inspired intelligence. Quan Liu is currently chair professor at the School of Information Engineering at Wuhan University of Technology. In the past five years, she authored more than 100 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. Sheng Quan Xie is currently chair professor in robotics and autonomous systems at the Faculty of Engineering, University of Leeds. He has published seven 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. Professor 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. Jie Zuo received the Ph.D. degree in information engineering from Wuhan University of Technology, Wuhan, China, in 2022. She is currently working as a Lecturer at Wuhan University of Technology. From 2022 to 2024, she was a postdoctoral researcher in the School of Artificial Intelligence and Automation at Huazhong University of Science and Technology. Her research interests include robotic design, modelling and control strategies, rehabilitation bio-mechatronics.
Autor*in
Lecturer, School of Information Engineering, Wuhan University of Technology, Wuhan, China
Associate Professor, Wuhan University of Technology, Wuhan, China
Professor in School of Information Engineering, Wuhan University of Technology, Wuhan, China
Chair Professor in Robotics and Autonomous Systems, Faculty of Engineering, University of Leeds, UK
Lecturer, Wuhan University of Technology, Wuhan, China
1. Introduction
2. State of the Art
3. Wearable Optical Fibre Sensors and Signal Acquisition
4. Neuro-Muscular Interfaces for Motion Recognition
5. Brain-Computer Interface with Invasive Caps
6. Wearable Ankle-Foot Exoskeletons
7. Knee Exoskeletons for Walking Assistance
8. Human-Centred Interactive Control Systems
9. Applications and Validations of Wearable Devices
10. Conclusion
