Advances in Technology-Assisted Neurorehabilitation
- 1st Edition - January 1, 2023
- Editor: Natalia M. López
- Language: English
- Paperback ISBN:9 7 8 - 0 - 1 2 - 8 1 9 8 7 7 - 3
- eBook ISBN:9 7 8 - 0 - 1 2 - 8 1 9 8 7 8 - 0
Advances in Technology-Assisted Neurorehabilitation introduces biomedical engineers, health professionals and researchers to the study and integration of neuroreha… Read more
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Request a sales quoteAdvances in Technology-Assisted Neurorehabilitation introduces biomedical engineers, health professionals and researchers to the study and integration of neurorehabilitation advances, specifically focusing on applied technologies and mathematical methods. Coverage includes neuromodulation, robotic rehabilitation devices, signal processing, human-machine interfaces, software development, serious games and virtual reality. It takes an interdisciplinary approach, including real world applications and new trends. Both medical and technological fields are represented, with a focus on neurological disease. With the computerization of today's therapeutic technology, this book is a valuable asset to any student in the bioengineering or healthcare fields.
- Offers comprehensive coverage of the basics in neurorehabilitation technologies
- Provides reviews of research on each individual topic within the context of their clinical applications
- Presents an anatomical/medical overview of normal human physiology and pathology
- Applies technology, engineering and computing to a rehabilitative top-down approach
Neurorehabilitation/Biomedical Engineering Students and Researchers: Biological and mathematical; can learn to apply knowledge gained through this book in real life experiments
Neurorehabilitation Practitioners: Medical and Rehabilitation; can learn about the usage of technology and tele-rehabilitation for their patients
Rehabilitation Technology Manufacturers: Can use knowledge for improving their products related to physical, sensorial and cognitive impairments.
Rehabilitation Centers and Laboratories: Rehabilitation centers and laboratories can use the knowledge and perform case studies with the patients they have
Neurorehabilitation Practitioners: Medical and Rehabilitation; can learn about the usage of technology and tele-rehabilitation for their patients
Rehabilitation Technology Manufacturers: Can use knowledge for improving their products related to physical, sensorial and cognitive impairments.
Rehabilitation Centers and Laboratories: Rehabilitation centers and laboratories can use the knowledge and perform case studies with the patients they have
- Title of Book
- Cover image
- Title page
- Table of Contents
- Copyright
- List of contributors
- Acknowledgments
- Chapter 1. Technology assisted neurorehabilitation as part of an integral and multidisciplinary perspective
- Abstract
- Chapter 2. Functional magnetic resonance imaging: a multimodal promising tool in neurorehabilitation
- Abstract
- Outline
- 2.1 Introduction
- 2.2 Basic concepts to understand how the functional magnetic resonance imaging images are generated
- 2.3 Functional connectivity measure
- 2.4 Contribution of functional magnetic resonance imaging in neurophysiological and neuropathological processes
- 2.5 Task-functional magnetic resonance imaging studies
- 2.6 Resting-state functional magnetic resonance imaging
- 2.7 Conclusions and future perspectives
- References
- Chapter 3. Quantitative assessment of functional recovery and evolution
- Abstract
- Outline
- 3.1 Introduction
- 3.2 Importance of the quantitative evaluation in the diagnosis of the evolution and functional recovery
- 3.3 Relationship between functional tests and abnormal movement patterns
- 3.4 Most used functional evaluation methods in clinical practice
- 3.5 Quantitative assessment through technology equipment
- 3.6 Quantitative interpretation of evaluations in ordinal scale
- 3.7 Discussion and conclusion
- References
- Chapter 4. Surface electromyographic signals as a tool for biomechanics and muscle coordination analysis
- Abstract
- Outline
- 4.1 Introduction
- 4.2 Physiological bases of the surface electromyographic signal generation
- 4.3 Surface electromyographic signal acquisition methods
- 4.4 Crosstalk reduction methods
- 4.5 Descriptive features of surface electromyographic signal
- 4.6 The practical use of surface electromyographic signal
- Acknowledgments
- References
- Chapter 5. Biometric measures: vision and inertial systems for neurorehabilitation
- Abstract
- Outline
- 5.1 Introduction
- 5.2 Measurement techniques
- 5.3 Measurement system applications
- 5.4 Experimental results
- 5.5 Conclusions
- References
- Further reading
- Chapter 6. Robotics for upper limb rehabilitation: a comprehensive exploration
- Abstract
- Outline
- 6.1 Principles in upper limb rehabilitation robotics
- 6.2 Survey of the latest developments in upper limb rehabilitation devices
- 6.3 Conclusions
- References
- Further reading
- Chapter 7. Protocols for poststroke upper limb motor rehabilitation using new methods: experiences in Brazil, Ecuador, Japan, Spain, and Germany
- Abstract
- Outline
- 7.1 Introduction
- 7.2 Materials and methods
- 7.3 Conclusions and future works
- Acknowledgments
- References
- Chapter 8. The role of neurorehabilitation in the suppression of pathological tremor
- Abstract
- Outline
- 8.1 Introduction: tremor condition from a clinical point of view
- 8.2 Robotic exoskeletons for tremor assessment and suppression
- 8.3 Tremor suppression based on functional electrical stimulation over the motor threshold
- 8.4 Stimulation of afferent pathways for tremor management
- 8.5 Conclusions and remarks
- References
- Chapter 9. Robot-assisted therapy for retraining ankle-foot movements
- Abstract
- Outline
- 9.1 Motor control and robot control approaches
- 9.2 Description of the BioMot platform
- 9.3 Case study: robot-mediated treatment
- Acknowledgment
- References
- Chapter 10. Mixed reality navigation: providing visual and haptic feedback to empower navigation using smart walkers
- Abstract
- Outline
- 10.1 Introduction
- 10.2 UFES vWalker and mixed reality system
- 10.3 Human–robot interaction strategies: haptic feedback to empower safe navigation
- 10.4 Path generator
- 10.5 Experimental protocol
- 10.6 Results
- 10.7 Discussion
- 10.8 Conclusion and ongoing research
- Acknowledgment
- References
- Chapter 11. Immersive and nonimmersive serious games design concepts for neurorehabilitation
- Abstract
- Outline
- 11.1 Introduction
- 11.2 Methodology
- 11.3 The validation of serious games in neurorehabilitation
- 11.4 Current challenges in the design, development, and validation of serious games for rehabilitation
- 11.5 Conclusions
- References
- Chapter 12. Functional electrical stimulation for motor neurorehabilitation
- Abstract
- Outline
- 12.1 Introduction
- 12.2 Functional electrical stimulation principles
- 12.3 FES technology
- 12.4 Functional electrical stimulation applications in neurorehabilitation
- 12.5 Conclusions
- References
- Chapter 13. Brain–computer interfaces to promote upper limb functional motor recovery after stroke
- Abstract
- Outline
- 13.1 Introduction
- 13.2 Brain–computer interfaces in guiding brain plasticity
- 13.3 Exploring the brain–computer interface structure
- 13.4 Brain–computer interface protocol details
- 13.5 Treatment effectiveness
- 13.6 Toward translation into the clinical realm
- 13.7 Conclusions and future perspectives
- References
- Chapter 14. Brain computer interfaces for communication, mobility and motor recovery
- Abstract
- Outline
- 14.1 Introduction
- 14.2 General structure and operation of a brain computer interface
- 14.3 Brain computer interface applications for neurorehabilitation
- 14.4 Conclusion
- References
- Chapter 15. Invasive neuromodulation as a tool for neurorehabilitation
- Abstract
- Outline
- 15.1 Introduction
- 15.2 Final remarks
- References
- Chapter 16. Non-invasive neuromodulation as a novel tool in neurorehabilitation
- Abstract
- Outline
- 16.1 Introduction
- 16.2 General mechanism of action of neuromodulation
- 16.3 Neuromodulation and neuronal networks
- 16.4 Noninvasive brain stimulation
- 16.5 Transcranial magnetic stimulation
- 16.6 Low-intensity transcranial electrical stimulation
- 16.7 Transcranial direct current
- 16.8 Conclusions and future work
- References
- Index
- No. of pages: 362
- Language: English
- Edition: 1
- Published: January 1, 2023
- Imprint: Academic Press
- Paperback ISBN: 9780128198773
- eBook ISBN: 9780128198780
NL
Natalia M. López
Natalia López received Biomedical Engineering., M.Sc. and Ph.D. degrees in Control Engineering from Universidad Nacional de San Juan (UNSJ) in 2001, 2007 and 2010, respectively. In 2003 she joined the Medical Technology Department UNSJ, where she is currently a Professor and Researcher from the CONICET (National Council of Scientific Technical Research). Much of her work is focused on biomedical signal processing, especially electromyographic signals, assistive devices, and the application of robotics in stroke and upper limb rehabilitation.
Affiliations and expertise
National University of San Juan, National Council of Scientific and Technical Research (Conicet), ArgentinaRead Advances in Technology-Assisted Neurorehabilitation on ScienceDirect