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The Internet of Medical Things (IoMT)

Healthcare Transformation
Book Hero Magic crafted this summary to help describe this book. While it's new and still learning, it may not be perfect - your feedback is welcome! Summary
The Internet of Medical Things (IoMT) offers a comprehensive exploration of how connected medical devices are revolutionising healthcare. Focusing on applied research, this book covers healthcare delivery, biomedical data mining, and the security and privacy of health records. It delves into sensor-based tools such as wearables and remote monitoring devices, highlighting their role in tracking chronic illnesses and improving patient care both in clinical settings and remotely.
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Format: Hardback
$46399
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Book Hero Magic created this recommendation. While it's new and still learning, it may not be perfect - your feedback is welcome! IS THIS YOUR NEXT READ?

This publication is ideal for healthcare professionals, researchers, and technologists interested in the intersection of medical devices, data analytics, and healthcare innovation.

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Book Hero Magic formatted this description to make it easier to read. While it's new and still learning, it may not be perfect - your feedback is welcome! Description

The Internet of Medical Things (IoMT)

Providing an essential addition to the reference material available in the field of IoMT, this timely publication covers a range of applied research on healthcare, biomedical data mining, and the security and privacy of health records.

With their ability to collect, analyse and transmit health data, IoMT tools are rapidly changing healthcare delivery. For patients and clinicians, these applications are playing a central part in tracking and preventing chronic illnessesβ€”and they are poised to evolve the future of care.

In this book, the authors explore the potential applications of a wave of sensor-based toolsβ€”including wearables and stand-alone devices for remote patient monitoringβ€”and the marriage of internet-connected medical devices with patient information that ultimately sets the IoMT ecosystem apart.

This book demonstrates the connectivity between medical devices and sensors is streamlining clinical workflow management and leading to an overall improvement in patient care, both inside care facilities and in remote locations.

Series: Advances in Learning Analytics for Intelligent Cloud-IoT Systems

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Book Details

INFORMATION

ISBN: 9781119768838

Publisher: John Wiley & Sons Inc

Format: Hardback

Date Published: 29 March 2022

Country: United States

Imprint: Wiley-Scrivener

Contributors:

  • Edited by Anand Paul
  • Edited by D. Balaganesh
  • Edited by R. J. Hemalatha
  • Edited by D. Akila

Audience: Professional and scholarly

DIMENSIONS

Spine width: 10.0mm

Width: 10.0mm

Height: 10.0mm

Weight: 454g

Pages: 336

About the Author

Audience

This book will be suitable for a wide range of researchers who are interested in acquiring in-depth knowledge on the latest IoMT-based solutions for healthcare-related problems. The book is specifically for those in artificial intelligence, cyber-physical systems, robotics, information technology, safety-critical systems, digital forensics, and application domain communities such as critical infrastructures, smart healthcare, manufacturing, and smart cities.

R.J. Hemalatha, PhD in Electronics Engineering from Sathyabama University, India. She is currently the Head of the Department of Biomedical Engineering, in Vels Institute of Science, Technology & Advanced Studies (VISTAS), Chennai, Tamil Nadu, India. She has published more than 50 research papers in various international journals.

D. Akila, PhD received his degree in Computer Science from Bharathiar University, Tamilnadu, India. She is an associate professor in the Department of Information Technology, School of Computing Sciences, Vels Institute of Science, Technology & Advanced Studies (VISTAS), Chennai, Tamil Nadu, India. She has published more than 25 research papers in various international journals.

D. Balaganesh, PhD is a Dean of Faculty Computer Science and Multimedia, Lincoln University College, Malaysia.

Anand Paul, PhD is an associate professor in the School of Computer Science and Engineering, Kyungpook National University, South Korea. He received his PhD degree in Electrical Engineering from National Cheng Kung University, Taiwan, R.O.C. in 2010.

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