Advanced Rehabilitative Technology

Neural Interfaces and Devices
Erscheinungsjahr 2018
ISBN: 978-0-12-814597-5
Verlag: Elsevier Science Publishing Co Inc

Buch, Englisch, 276 Seiten, Format (B × H): 234 mm x 190 mm, Gewicht: 586 g

Advanced Rehabilitative Technology: Neural Interfaces and Devices teaches readers how to acquire and process bio-signals using biosensors and acquisition devices, how to identify the human movement intention and decode the brain signal, how to design physiological and musculoskeletal models and establish the neural interfaces, and how to develop neural devices and control them efficiently using biological signals. The book takes a multidisciplinary theme between the engineering and medical field, including sections on neuromuscular/brain signal processing, human motion and intention recognition, biomechanics modelling and interfaces, and neural devices and control for rehabilitation.

Each chapter goes through a detailed description of the bio-mechatronic systems used and then presents implementation and testing tactics. In addition, it details new neural interfaces and devices, some of which have never been published before in any journals or conferences. With this book, readers will quickly get up-to-speed on the most recent and future advancements in bio-mechatronics engineering for applications in rehabilitation.

Zielgruppe

Researchers, academics and graduate students, who are studying in the field of neural interfaces and rehabilitation. Bioengineers, Rehabilitation Engineers, Clinicians. Academics that are teaching courses in neural and rehab technologies

Autoren/Hrsg.

Ai, Qingsong

Meng, Wei

Xie, Sheng Quan

Fachgebiete

• Technische Wissenschaften Sonstige Technologien | Angewandte Technik Medizintechnik, Biomedizintechnik
• Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Physiotherapie, Physikalische Therapie Rehabilitation
• Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Medizin, Gesundheitswesen Medizintechnik, Biomedizintechnik, Medizinische Werkstoffe

Inhaltsverzeichnis

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

Über Autor(innen)

Xie, Sheng Quan
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.

Meng, Wei
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.

Ai, Qingsong
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.