Work place: Department of CSE, Koneru Lakshmaiah Education Foundation, Vijayawada-India- 520 002
Research Interests: Computer Science & Information Technology
P. Dharmendra Kumar received his Master of Engineering from Acharya Nagarjuna University in 2010 through the GATE exam, and he submitted his Ph.D. in Computer Science and Engineering at Annamalai University. With over 12 years of teaching experience and 4 years of research experience, he holds various academic portfolios associated with his current position. His research area focuses on Advanced Image Processing and Deep Learning, and he has made significant contributions to international and national level conferences and reputed journals. He has published patents and numerous research papers in renowned journals indexed by UGC, Scopus, SCI, and Google Scholar. Apart from teaching, he guides undergraduate and postgraduate students in their research and academic activities. Currently, he is working as an Assistant Professor in the School of Computer Science and Engineering at the Department of CSE, Koneru Lakshmaiah Education Foundation in Vaddeswaram, Andhra Pradesh, India. For communication, he can be reached via email at firstname.lastname@example.org.
DOI: https://doi.org/10.5815/ijeme.2023.06.04, Pub. Date: 8 Dec. 2023
Modern technologies like 5G, the Internet of Things (IoT), and Artificial Intelligence (AI) have just come together, creating previously unheard-of chances for creative solutions. As a result, several IoT use cases have come to fruition, particularly in the healthcare industry, enabling the creation of eHealth and mHealth applications for ambient assisted living (AAL). However, there are practical issues with the current healthcare system, such as service delays and exorbitant expenses, which have had serious repercussions, such the untimely passing of famous people from heart attacks. Real-time patient monitoring and therapy with few delays are necessary to solve these pressing challenges. IoT has changed the game in this area by making it easier to establish Remote Patient Monitoring (RPM) systems. Vital indicators can be sent in real time to clinicians using IoT-enabled wearable devices (biosensors), enabling quick intervention and the start of treatment. This article gives an overview of the state-of-the-art in RPM using IoT, highlighting its potential to save time, lower healthcare expenses, and considerably raise patient quality of life and the caliber of healthcare services. It also identifies research holes and ways to use RPM systems, laying the groundwork for further development in this area.[...] Read more.
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