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Brain-Computer Interfaces for Neurorehabilitation

J. Reyes Juárez Ramírez Abhishek Kumar Pramod Singh Rathore Priya Batta

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English
Medical Information Science Reference
30 April 2026
Brain-computer interfaces (BCIs) represent a transformative frontier in neurorehabilitation, offering treatment for individuals recovering from neurological injuries and disorders. By linking the brain's activity to external devices, BCIs enable communication and control without relying on the body's motor pathways, a powerful tool for patients affected by neurodegenerative diseases. Through real-time monitoring and adaptive feedback, these systems promote neural plasticity and accelerate recovery. As technology and neuroscience intersect, BCIs redefine the boundaries of rehabilitation, moving from assistive applications toward restorative therapies that harness the brain's ability to heal and adapt. Brain-Computer Interfaces for Neurorehabilitation explores the intersection of BCI technologies and blockchain in the context of neurorehabilitation and cognitive learning systems. It offers an interdisciplinary approach, bridging neuroscience, biomedical engineering, cryptographic systems, and AI, delving into how BCIs can decode neural signals to enable communication and motor control for patients with disabilities. This book covers topics such as neuroscience, personalized therapy, and blockchain, and is a useful resource for medical and healthcare professionals, neurologists, computer engineers, academicians, researchers, and scientists.
Edited by:   , , , ,
Imprint:   Medical Information Science Reference
Country of Publication:   United States
Dimensions:   Height: 279mm,  Width: 216mm,  Spine: 25mm
Weight:   1.102kg
ISBN:   9798337368177
Pages:   480
Publication Date:  
Audience:   College/higher education ,  Professional and scholarly ,  Primary ,  Undergraduate
Format:   Paperback
Publisher's Status:   Active

Reyes Juárez-Ramírez received a Ph.D. from the Universidad Autónoma de Baja California (UABC) in 2008, in Computer Science with specialty in Software Engineering. He is currently holding a Full Professor position in UABC, Tijuana campus, Baja California, Mexico. He is the President of the Mexican Network of Software Engineering (REDMIS). He is a member of the National System of Researchers of Mexico (SNI), Level 2, and leads several research projects, academic and in collaboration with industry. His research areas are Software Engineering (uncertainty in agile methodologies, quality improvement in Scrum), Human-Computer Interaction (user-centered design, adaptive user interfaces), and recently he has started working with Quantum Computing. He is the general chair of some national and international events, such as the International Conference in Software Engineering Research and Innovation (CONISOFT). Abhishek Kumar is currently working as an Assistant director /Associate professor in Computer science & Engineering Department in Chandigarh University, Punjab, India. He is Doctorate in computer science from University of Madras and is doing Post-Doctoral Fellow in Ingenium Research Group Ingenium Research Group Lab, Universidad De Castilla-La Mancha, Ciudad Real, and Ciudad Real Spain. He has done MTech in Computer Sci. & Engineering and B.Tech in I.T. from, Rajasthan Technical University, Kota India. He has total Academic teaching experience of more than 13 years along with 2 years teaching assistantship. He is having more than 160 publications in reputed, peer reviewed National and International Journals, books & Conferences He has guided more than 30 MTech Projects at national and International level and 4 PhD Scholar. Completed their Degree under his Guidance. His research area includes- Artificial intelligence, Renewable Energy Image processing, Computer Vision, Data Mining, Machine Learning. He has been Session chair and keynote Speaker of many International conferences, webinars in India and Abroad. He has been the reviewer for IEEE and Inderscience Journal. He has authored/Co-Authored 7 books published internationally and edited 39 books (Published & ongoing with IET, Elsevier, Wiley, IGI GLOBAL Springer, Apple Academic Press, De-Gruyter and CRC etc. He has been member of various National and International professional societies in the field of engineering & research like Senior Member of IEEE, IAENG (International Association of Engineers), Associate Member of IRED (Institute of Research Engineers and Doctors).He is Patent holder and got Sir CV Raman National award for 2018 in young researcher and faculty Category from IJRP Group. He is acting as Series Editor for three books series, Quantum Computing with Degruyter Germany, Intelligent Energy System with Elsevier, & Mathematical Methods in the Digital Age: Computational Intelligence & Advancements. Pramod Singh Rathore is working in Department of Computer and Communication Engineering, Manipal University Jaipur. He has completed his Ph. D. in Computer Science & Engineering from the University of Engineering and Management, Jaipur (UEM) and done M. Tech in Computer Sci. & Engineering from the Government Engineering College Ajmer, Rajasthan Technical University, Kota, India. With over 15 years of academic teaching experience, he has published more than 95 papers in reputable, peer-reviewed national and international journals, books, and conferences, including Wiley, IGI GLOBAL, Taylor & Francis, Springer, Elsevier Science Direct, Annals of Computer Science, and IEEE. He has co-authored and edited numerous books with well-known publishers such as Wiley, CRC Press, and USA. His research interests include computer networks, data mining, and DBMS. He is a senior member of IEEE. He also serves on the editorial and advisory committees of the Global Journal Group. He is also a member of various national and international professional societies in engineering and research, including the ACM and the International Association of Engineers (IAENG). Sachin Ahuja With over 16 years of academic and research experience, Dr. Sachin Ahuja has authored 40+ research papers, mentored multiple Ph.D. scholars, and filed 60+ patents. His expertise lies in data mining, machine learning, innovation management, and applied AI for healthcare and sustainability solutions.

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