Advances in Motor Neuroprostheses
This book provides a comprehensive review of recent developments in the field of motor neuroprosthetics and brain-machine interfaces. Chapters in this book are provided by leading experts in the field and include topics such as the design and control of multidimensional prosthetics and exoskeletons,...
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| Format: | eBook |
| Language: | English |
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Cham
Springer International Publishing
2020, 2020
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| Edition: | 1st ed. 2020 |
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| Online Access: | |
| Collection: | Springer eBooks 2005- - Collection details see MPG.ReNa |
Table of Contents:
- Chapter 1: Application of reinforcement and deep learning techniques in brain machine interfaces
- Chapter 2: Specific muscle activation patterns in athletic and orthopedic populations: considerations for using surface electromyography in assistive and biofeedback device applications
- Chapter 3: Kineto-dynamic modeling of human upper limb for robotic manipulators and assistive applications
- Chapter 4: Learning from the human hand: force control and perception using a soft-synergy prosthetic hand and non-invasive haptic feedback
- Chapter 5: Design of a soft glove-based robotic hand exoskeleton with embedded synergies
- Chapter 6: Model predictive control based knee actuator allocation during a standing-up motion with a powered exoskeleton and functional electrical stimulation
- Chapter 7: Deep brain stimulation for gait and postural disturbances in Parkinson’s disease
- Chapter 8: Cognitive and physiological intent for the adaptationof motor prostheses
- Index