Intelligent Biomechatronics in Neurorehabilitation presents global research and advancements in intelligent biomechatronics and its applications in neurorehabilitation. The book covers our current understanding of coding mechanisms in the nervous system, from the cellular level, to the system level in the design of biological and robotic interfaces. Developed biomechatronic systems are introduced as successful examples to illustrate the fundamental engineering principles in the design. The third part of the book covers the clinical performance of biomechatronic systems in trial studies. Finally, the book introduces achievements in the field and discusses commercialization and clinical challenges.
As the aging population continues to grow, healthcare providers are faced with the challenge of developing long-term rehabilitation for neurological disorders, such as stroke, Alzheimer’s and Parkinson’s diseases. Intelligent biomechatronics provide a seamless interface and real-time interactions with a biological system and the external environment, making them key to automation services.
1. Cover image - p. i 2. Title page - p. ii 3. Table of Contents - p. iii 4. Copyright - p. iv 5. Contributors - p. xi 6. Preface - p. xvii 7. Part I. Neural coding mechanisms - p. xviii 8. 1. Toward bidirectional closed-loop brain–machine interfaces (BMIs): a summary on invasive BMI research in China - p. 3 9. 2. Neural decoding by invasive electrocorticography - p. 21 10. 3. Neural coding by electroencephalography (EEG) - p. 41 11. 4. Electromyography (EMG) examination on motor unit alterations after stroke - p. 51 12. 5. Automatic analysis of segmentwise locomotion details of Drosophila larva - p. 65 13. Part II. Biomechatronic Systems Integrated with the Human Body - p. 80 14. 6. Bionic robotics for post polio walking - p. 83 15. 7. Voluntary intention-driven rehabilitation robots for the upper limb - p. 111 16. 8. Artificial sensory feedback for bionic hands - p. 131 17. 9. Robotic and neuromuscular electrical stimulation (NMES) hybrid system - p. 147 18. 10. Soft robotics for hand rehabilitation - p. 167 19. Part III. Clinical Applications - p. 176 20. 11. Clinical evaluations with robots in rehabilitation - p. 179 21. 12. Quantitative evaluation - p. 193 22. 13. Automation in neurorehabilitation: Needs addressed by clinicians - p. 209 23. 14. Translation of robot-assisted rehabilitation to clinical service in upper limb rehabilitation - p. 225 24. Part IV. Commercialization - p. 238 25. 15. Commercialization of rehabilitation robotics in Hong Kong - p. 241 26. Index - p. 259
Intelligent Biomechatronics in Neurorehabilitation presents global research and advancements in intelligent biomechatronics and its applications in neurorehabilitation. The book covers our current understanding of coding mechanisms in the nervous system, from the cellular level, to the system level in the design of biological and robotic interfaces. Developed biomechatronic systems are introduced as successful examples to illustrate the fundamental engineering principles in the design. The third part of the book covers the clinical performance of biomechatronic systems in trial studies. Finally, the book introduces achievements in the field and discusses commercialization and clinical challenges.
As the aging population continues to grow, healthcare providers are faced with the challenge of developing long-term rehabilitation for neurological disorders, such as stroke, Alzheimer’s and Parkinson’s diseases. Intelligent biomechatronics provide a seamless interface and real-time interactions with a biological system and the external environment, making them key to automation services.
1. Cover image - p. i 2. Title page - p. ii 3. Table of Contents - p. iii 4. Copyright - p. iv 5. Contributors - p. xi 6. Preface - p. xvii 7. Part I. Neural coding mechanisms - p. xviii 8. 1. Toward bidirectional closed-loop brain–machine interfaces (BMIs): a summary on invasive BMI research in China - p. 3 9. 2. Neural decoding by invasive electrocorticography - p. 21 10. 3. Neural coding by electroencephalography (EEG) - p. 41 11. 4. Electromyography (EMG) examination on motor unit alterations after stroke - p. 51 12. 5. Automatic analysis of segmentwise locomotion details of Drosophila larva - p. 65 13. Part II. Biomechatronic Systems Integrated with the Human Body - p. 80 14. 6. Bionic robotics for post polio walking - p. 83 15. 7. Voluntary intention-driven rehabilitation robots for the upper limb - p. 111 16. 8. Artificial sensory feedback for bionic hands - p. 131 17. 9. Robotic and neuromuscular electrical stimulation (NMES) hybrid system - p. 147 18. 10. Soft robotics for hand rehabilitation - p. 167 19. Part III. Clinical Applications - p. 176 20. 11. Clinical evaluations with robots in rehabilitation - p. 179 21. 12. Quantitative evaluation - p. 193 22. 13. Automation in neurorehabilitation: Needs addressed by clinicians - p. 209 23. 14. Translation of robot-assisted rehabilitation to clinical service in upper limb rehabilitation - p. 225 24. Part IV. Commercialization - p. 238 25. 15. Commercialization of rehabilitation robotics in Hong Kong - p. 241 26. Index - p. 259
