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Robotic Orthosis for Assisting Physical Rehabilitation
Comprehensive Design, Implementation and Automatic Control Strategies
1st Edition - April 1, 2024
Authors: Jorge Isaac Chairez Oria, David Cruz, Mariana Ballesteros, Ivan Salgado
Paperback ISBN:
9 7 8 - 0 - 4 4 3 - 1 5 4 6 8 - 3
Robotic Orthosis for Assisting Physical Rehabilitation: Comprehensive Design, Implementation and Automatic Control Strategies presents a comprehensive study for designing advanced… Read more
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Robotic Orthosis for Assisting Physical Rehabilitation: Comprehensive Design, Implementation and Automatic Control Strategies presents a comprehensive study for designing advanced robotic orthosis that may contribute to the rehabilitation process of human beings. The book analyzes the mechanical design, electrical instrumentation, automatic control design and the validation methods of robotic orthoses. In the first chapters, a precise and complete description of the mechanical design methods for active orthoses is provided, showing the design schemes, efficient and useful materials, as well as the class of components needed to enforce the adequate interaction between the orthotic device and human user. The second part of the book analyzes electrical/electronic elements as well as the automatization strategies that may be implemented for developing active orthoses. The relevance of sensors and actuators that can drive the regulated motions that correspond to planned rehabilitation strategies is also presented. The third part of the book analyzes the clinical process needed to validate and apply robotic orthoses in medical protocols as well as established treatments. This process explains how to bring the biomedical technology into the actual market with the aim of helping people that are in the rehabilitation process. Several ethical, legal and administrative aspects are analyzed in terms of different national regulations, medical groups and some others.The last section of the book summarizes several examples of active orthoses developed under the earlier methodology described. Examples of upper and lower limbs, spinal cord, and neck orthoses are completely developed. These examples are illustrated at two levels - numerical simulations, and actual experimental evaluations of the proposed devices.
- Details the mechanical aspects, electrical and electronic instrumentation, automatic control strategies and validation methodologies for developing robotic orthoses
- Presents the integration strategy that permits to design and construction of robotic orthoses under an integral point of view following strict technical rules, as well as formal medical protocolized procedures
- Features several examples of developed robotic orthoses
Biomedical engineers including Masters and PhD students, automatic control engineers and mechanical engineers working in the field of rehabilitation technology
1. Introduction on medical rehabilitation
2. Orthosis applications in medical rehabilitation
3. Mechanical fundamental and design of the active orthosis
4. Electrical, electronic, and digital instrumentation of active orthosis
5. Automatic control design of the active orthosis
6. Artificial intelligence applications on active orthosis development
7. Clinical evaluations of active orthosis: protocols, testing, and validation
8. Active orthosis for medical rehabilitation of lower limbs
9. Active orthosis for medical rehabilitation of upper limbs
10. Active orthosis for medical rehabilitation of chest and back
11. Active orthosis for medical rehabilitation of neck
12. Ethical, medical, and legal implications of active orthosis
13. Cyberphysical systems interpretation of active orthoses
2. Orthosis applications in medical rehabilitation
3. Mechanical fundamental and design of the active orthosis
4. Electrical, electronic, and digital instrumentation of active orthosis
5. Automatic control design of the active orthosis
6. Artificial intelligence applications on active orthosis development
7. Clinical evaluations of active orthosis: protocols, testing, and validation
8. Active orthosis for medical rehabilitation of lower limbs
9. Active orthosis for medical rehabilitation of upper limbs
10. Active orthosis for medical rehabilitation of chest and back
11. Active orthosis for medical rehabilitation of neck
12. Ethical, medical, and legal implications of active orthosis
13. Cyberphysical systems interpretation of active orthoses
- No. of pages: 500
- Language: English
- Published: April 1, 2024
- Imprint: Academic Press
- Paperback ISBN: 9780443154683
JC
Jorge Isaac Chairez Oria
Dr. Chairez is a Biomedical Engineer from the National Polytechnic Institute and a Doctor of Science with a Specialty in Automatic Control from the Center for Research and Advanced Studies of the IPN. He has experience in the production of technological equipment for medical devices, the development of medical robotic systems and automation technology solutions. The current central themes of his research revolve around: a) The development of new automatic control methodologies; b) The creation of new artificial intelligence methods applied to bioprocesses, biomedical engineering and microsystems and c) The implementation of instrumentation systems installed as central parts of new medical devices. He has supervised 19 doctoral theses, 33 master's theses and 12 bachelor's theses. He has published 190 scientific articles in peer-reviewed and indexed journals.
Affiliations and expertise
Professor of Bioengineering, SEPI-UPIBI-IPN, MexicoDC
David Cruz
David Cruz Ortiz obtained a B.S. in Biomedical Engineering from the National Polytechnic Institute in June 2013, and the Advanced Technology Master’s Degree from the same institute in December 2015. He obtained his Ph.D. in Automatic Control Sciences from the Center for Research and Advanced Studies of the National Polytechnic Institute (CINVESTAV-IPN) in February 2020 at Mexico City. During his Ph.D. studies, he did a research internship in Lille, France, at the INRIA with professor Andrey Polyakov. He is currently an associate professor in the medical robotics and biosignal processing laboratory at the Interdisciplinary Professional Unit of Biotechnology (UPIBI-IPN). His research activities include teaching experience at the bachelor level with courses such as dynamic systems, digital systems, circuit analysis, digital signal and image processing, and medical instrumentation at UPIBI-IPN. As part of his academic activities, he has served as co-advisor of 7 bachelor thesis aside from 2 theses at the master level. Related to the development of scientific projects, he has served as co-investigator of five research projects and as the principal investigator of three more. David Cruz Ortiz has published 19 articles in JCR journals and more than 25 articles in national and international conferences in automatic control, robotic systems, and biomedical engineering. In addition, he served as a program chair member of the International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE) in 2020. His main research interests include robust control and bilateral control theories and the design, construction, and control of bio-inspired robotic systems. Its areas of interest.
Affiliations and expertise
Associate Professor, Medical Robotics and Biosignal Processing Laboratory, Interdisciplinary Professional Unit of Biotechnology (UPIBI-IPN), MexicoMB
Mariana Ballesteros
Mariana Ballesteros. Mariana Ballesteros obtained the Advanced Technology Master’s Degree from the National Polytechnic Institute in January 2016 and the Ph.D. in Automatic Control Science from the Center for Research and Advanced Studies of the National Polytechnic Institute (CINVESTAV-IPN), in February 2020, both in Mexico City. During her Ph.D. studies, she did a research internship in Lille, France, at the INRIA with professors Andrey Polyakov and Denis Efimov. She is currently an associate professor in the Interdisciplinary Professional Unit of Biotechnology (UPIBI-IPN) and the Center for Innovation and Technological Development in Computing (CIDETEC IPN). Her main research interests include theory for robust control, optimal control, system identification, neural networks for control, approximation, and identification, in the area of automatic control; biomedical devices development, and medical robotics, as well as the analysis and processing of biosignals within the field of biomedical engineering. Mariana Ballesteros is currently working in the UPIBI-IPN Medical and Biosignals Robotics Laboratory, where the research is related to applying automatic control and computer sciences techniques toward the development of medical technology. Additionally, she teaches dynamic systems, biosignals and images, digital processing, sensors and interfaces, and bioinstrumentation courses in bachelor. She has co-directed the thesis of eight bachelor’s students and two master’s theses in the IPN. Mariana Ballesteros has 18 publications in international conferences and 17 articles in JCR journals.
Affiliations and expertise
Associate Professor, Interdisciplinary Professional Unit of Biotechnology (UPIBI-IPN) and the Center for Innovation and Technological Development in Computing (CIDETEC IPN), MexicoIS
Ivan Salgado
Ivan Salgado received the Biomedical Engineering Degree from the National Polytechnic Institute (IPN), Mexico City, Mexico, in 2009, the master’s degree in automatic control from the Universidad Nacional Autonoma de México, Mexico City, in 2011, and the Ph.D. degree in computer sciences from Centro de Investigación en Computación-IPN. His current research interests include the design, control, and optimization of robotic systems and adaptive control. His research activities include teaching experience in the bachelor’s and postgraduate courses such as linear and nonlinear control, digital systems, circuit analysis, digital signal and image processing at UPIBI-IPN and CIDETEC-IPN. Iván Salgado has published more than 20 articles in JCR journals and more than 30 articles in national and international conferences in automatic control, robotic systems, and biomedical engineering.
Affiliations and expertise
Centro de Investigación en Computación-IPN, Instituto Politécnico Nacional, Mexico