Exoskeleton Robots for Rehabilitation and Healthcare Devices, 1st ed. 2020
SpringerBriefs in Applied Sciences and Technology Series

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Language: English

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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.
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.

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 (EdSOC). 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, IoT, Big Data, Smart City and IT. Prior to his current role, he was associated with Apeejay Institute of Technology, Greater Noid

Highlights cutting-edge topics in robotics and related technologies for rehabilitation Provides a reference guide to the application of robotics in rehabilitation Includes case studies to highlight the applications of the content discussed