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Internet of Medical Things

Internet of Medical Things


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About the Book

Internet of Things (IoT) has become a valuable tool for connection and information exchange between devices. This book provides a brief introduction to this new field, focuses on wearable medical devices, and covers the basic concepts by providing the reader with enough information to solve various practical problems.

This book provides the latest applications, experiments, fundamentals concepts, and cutting-edge topics for the ehealth and wearable devices field. The book also offers topics related to Security in IoT and Wearable Devices, Wearable Devices and Internet of Medical Devices (IoMT), IoT for Medical Applications, and Tools and study cases.

The book brings new and valuable information to PhD researchers, students, professors, and professionals working in IoT and related fields.


About the Author:

Manuel Cardona PhD. 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. In 2020, he received the Ph.D. (Cum Laude) in Automation and Robotics from Universidad Politécnica de Madrid, Spain.

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 35 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 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 (IoE): 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 (IJHIoT), 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, InderScience & Many more publishers. He can be contacted at spesinfo@yahoo.com or vijendersolanki@ieee.org

Cecilia E. García Cena PhD. received the B.S. degree in electromechanics engineering from La Pampa National University, Santa Rosa, Argentina, in 1997 and the Ph.D. degree in control system (curriculum in robotics and nonlinear system control) from San Juan National University, San Juan, Argentina, in 2001.

In 2001, she was a Visiting Scholar with the Robotics Section, Universidad Politécnica de Madrid (UPM-CSIC), Madrid, Spain. In 2004, she was a Visiting Professor with the Robotics Laboratory, Universidad Carlos III de Madrid, Madrid.

She is currently a full Professor with the Department of Electronics, Automation and Computer Science, UPM-CSIC, and a member of the Centre of Automation and Robotics, UPM-CSIC. Her research interests include telerobotics, assistant robots, and control of multiagent systems. She holds three patents and is the author of more than 20 articles.


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Product Details
  • ISBN-13: 9780367272630
  • Publisher: Taylor and Francis
  • Publisher Imprint: CRC Press
  • Height: 234 mm
  • No of Pages: 166
  • Series Title: Internet of Everything (Ioe)
  • Sub Title: Paradigm of Wearable Devices
  • Width: 157 mm
  • ISBN-10: 0367272636
  • Publisher Date: 25 Feb 2021
  • Binding: Hardback
  • Language: English
  • Returnable: N
  • Spine Width: 20 mm
  • Weight: 526 gr


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