This book addresses cutting-edge topics in robotics and related technologies for rehabilitation, covering basic concepts and providing the reader with the information they need to solve various practical problems. Intended as a reference guide to the application of robotics in rehabilitation, it covers e.g. musculoskeletal modelling, gait analysis, biomechanics, robotics modelling and simulation, sensors, wearable devices, and the Internet of Medical Things.
Tabela de Conteúdo
Robotics for Rehabilitation: A State of the Art.- Sensors and motion systems.- Gait Capture Systems.- Technologies for Therapy and Assistance of Lower Limb Disabilities: Sit to Stand and Walking.- Adaptable Robotic Platform for Gait Rehabilitation and Assistance: Design Concepts and Applications.
Sobre o autor
Manuel Cardona Ph.D. c received the B.S. degree in Electrical Engineering from Universidad de Sonsonate (USO), El Salvador, in 2004 and the M.Sc. degree in Automation and Robotics from Universidad Politécnica de Madrid, Madrid, Spain, in 2008.
From 2007 to 2008, and 2011, he was a Research Assistant with the Robotics and Intelligence Machines Research Group at Universidad Politécnica de Madrid, Spain. He has a Postgraduate Degree in Scientific Research and a Postgraduate Degree and Innovation Management. He is currently a Ph.D. candidate in Automation and Robotics at Universidad Politécnica de Madrid. Since 2014, he has been a professor and the director of the Robotics and Intelligence Machines research group and Computer Vision research group, School of Engineering at Universidad Don Bosco (UDB), El Salvador. His research interest includes Rehabilitation Robotics, Biomechanics, kinematic and dynamic of serial and parallel Robots, embedded systems, vision and artificial intelligence, and applications of robotics systems.
He has authored or co-authored more than 30 research articles that are published in various journals, books and conference proceedings. He is an Associate Editor in International Journal of Machine Learning and Networked Collaborative Engineering (IJMLNCE) ISSN 2581-3242.
He is an IEEE Senior Member, He belongs to Robotics and Automation Society (RAS), Aerospace and Electronic Systems Society (AESS) and Education Society (Ed SOC). He is IEEE RAS Student Branch Chapter Advisor and Student Brach Mentor at Universidad Don Bosco, and the Vicechair at IEEE El Salvador Section.
Vijender Kumar Solanki Ph.D. is an Associate Professor in Computer Science & Engineering, CMR Institute of Technology (Autonomous), Hyderabad, TS, India. He has more than 10 years of academic experience in network security, Io T, Big Data, Smart City and IT. Prior to his current role, he was associated with Apeejay Institute of Technology, Greater Noida, UP, KSRCE (Autonomous) Institution, Tamilnadu, India and Institute of Technology & Science, Ghaziabad, UP, India. He is member of ACM and IEEE.
He has attended an orientation program at UGC-Academic Staff College, University of Kerala, Thiruvananthapuram, Kerala & Refresher course at Indian Institute of Information Technology, Allahabad, UP, India.
He has authored or co-authored more than 50 research articles that are published in various journals, books and conference proceedings. He has edited or co-edited 14 books and Conference Proceedings in the area of soft computing. He received Ph.D in Computer Science and Engineering from Anna University, Chennai, India in 2017 and ME, MCA from Maharishi Dayanand University, Rohtak, Haryana, India in 2007 and 2004, respectively and a bachelor’s degree in Science from JLN Government College, Faridabad Haryana, India in 2001. He is the Book Series Editor of Internet of Everything (Io E): Security and Privacy Paradigm, CRC Press, Taylor & Francis Group, USA; Artificial Intelligence (AI): Elementary to Advanced Practices Series, CRC Press, Taylor & Francis Group, USA; IT, Management & Operations Research Practices, CRC Press, Taylor & Francis Group, USA; Bio-Medical Engineering: Techniques and Applications with Apple Academic Press, USA and Computational Intelligence and Management Science Paradigm, (Focus Series) CRC Press, Taylor & Francis Group, USA.
He is Editor-in-Chief in International Journal of Machine Learning and Networked Collaborative Engineering (IJMLNCE) ISSN 2581-3242; International Journal of Hyperconnectivity and the Internet of Things (IJHIo T), ISSN 2473-4365, IGI-Global, USA, Co-Editor Ingenieria Solidaria Journal ISSN (2357-6014), Associate Editor in International Journal of Information Retrieval Research (IJIRR), IGI-GLOBAL, USA, ISSN: 2155-6377 | E-ISSN: 2155-6385. He has been guest editor with IGI-Global, USA, Inder Science & Many more publishers. He can be contacted at [email protected].
Cecilia E. García Cena Ph D is Assistant Professor on Automation and Robotics with the Universidad Politécnica de Madrid (UPM), Madrid, Spain, and research member at the Centrefor Automation and Robotics. She is Visiting Professor with Ecoles Universitaries Gimbernat, Cantabria, Spain and Beihang University, Pekin, China. Between 2004 and 2006, she was also Visiting Professor with Universidad Carlos III (UC3M), Madrid, Spain. She is leading the robotics medical applications in Robots and Intelligence Machine Research Group, Centre for Automation and Robotics (CAR). She has been the head director of national research and development projects, and research member of European projects. Since 2016, she is an expert evaluator for European Commission in Robotics topics. Since 2015 she is strongly involved in the development of medical devices with clinical and social applications. She is the author of over 60 international scientific publications. She holds four patents, two of them registered internationally.