The aim of this book is to assess the impact and effect of Io T in biomedical and telemedicine domain. This book features diverse research in the field of Io MT. It can act as a knowledge sharing resource for academicians, professionals and even beginners to get an idea about this area. The primary subject of this edited book is healthcare and medicine. It is a crucial area of research and it has a very positive effect on the quality of human life. It can certainly be called as one of the most important areas of research given the present scenario.
Key Features:
- Presents a comprehensive overview of the current state of research in Io T based devices in the biomedical domain
- Covers Io T based biomedical devices for diagnosis and prognosis of different diseases
- Present impact analysis of Io MT devices with different case studies
- Design and simulation examples, issues and challenges will be covered
Tabla de materias
1 Introduction to Io T: A biomedical perspective
2 Io T in telemedicine applications
3 Biomedical signal acquisition
4 Role of Io T in wearable medical devices
5 Medical data pre-processing
6 Efficient energy management for wearable devices
7 A road to smart hospitals
8 Role of Io T, AI, and ML in biomedical devices
9 Biomedical signal security
10 Io T in biomedical cyber physical systems This chapter will cover role of Io T in cyber physical systems.
11 Devices for Io T based biomedical applications
12 Smart Application of Io MT-1
13 Smart Application of Io MT-2
Sobre el autor
Varun Bajaj is an Associate Professor in the Department of Electronics and Communication Engineering at the Indian Institute of Information Technology, Design and Manufacturing in Jabalpur, India. He is an Associate Editor of IEEE Sensor Journal and Subject Editor-in-Chief of IET Electronics Letters. He has 166 publications which include journal papers (103), conference papers (35), books (12), and book chapters (16). He has also Granted 2 international patents and published 3 indian patents. The citation impact of his publications is around 5531 citations, h-index of 40, and i10 index of 103 (Google Scholar march 23). He is the Co-Editor of “Modelling and Analysis of Active Biopotential Signals in Healthcare, Volumes 1 & 2 – Downloads: Vol. 1 – 955; Vol 2 – 533 (2021)
Irshad Ahmad Ansari, is an Assistant Professor in the Department of Electronics and Communication Engineering at the PDPM Indian Institute of Information Technology, Design and Manufacturing. His major research interests include image, signal and biomedical signal processing, biomedical devices, brain computer interface, machine learning and algorithm design. He has authored more than 35 peer reviewed research papers in reputed journals.
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