IoT-Based Remote Diagnosis and Therapeutic Telemedicine Governing System

Abstract

Telemedicine system can track the vital signs of patients with chronic disease and electronically transmits the data to healthcare providers without waiting for an emergency to occur. This helps in providing an alert system that assists physicians to diagnose problems and get treatment to patients in a proactive manner. In general, rural patients are unable to reach multispecialty expert doctors for diagnosis and treatment of chronic diseases. Even though there have been numerous studies on remote telemedicine since the early days, some of them have flaws, such as the fact that some are not technology-focused or that some simply presented their work without any practical application. We reasoned that if we could develop a better solution for distant telemedicine, it would enable a great number of patients to receive virtual medical treatment as a result of the current pandemic. In this article, we explore the most recent technological paradigms and cutting-edge research in the newest technologies that are essential to the development of remote telemedicine and supported living in the future. First, a brief discussion of the benefits of remote telemedicine is presented. The most critical technology advancements and concepts for remote telemedicine and assisted living are then highlighted. From this point forward, a thorough analysis of the current state of technology, its potential problems, and prospective remedies is done. Finally, we supplied a tool for remote telemedicine via our newly built system called IoT remote diagnosis and therapeutic telemedicine system, which allows patients to receive virtual treatment 24 × 7.

KEYWORDS:

• BP and pulse wearable sensor
• IoT
• Raspberry pi
• Telemedicine
• UART interface
• WBAN

Disclosure statement

No potential conflict of interest was reported by the author(s).

Additional information

Notes on contributors

Valeti Sai Deepak

Valeti Sai Deepak is currently pursuing an undergraduate degree at Vellore Institute of Technology of the school of electronics engineering, Chennai. His areas of interest are image processing, internet of things, and wireless communication. E-mail: [email protected]

Kolluru Sai Ganapathi Sastrulu

Kolluru Sai Ganapathi is currently pursuing an undergraduate degree at Vellore Institute of Technology of the school of electronics engineering, Chennai. His areas of interest are deep learning, internet of things, and medical image analysis. E-mail: [email protected]

Koppineni Teja Naidu

Koppineni Teja Naidu is currently pursuing an undergraduate degree at the Vellore Institute of Technology of the school of electronics engineering, Chennai. His areas of interest are digital healthcare technologies, embedded systems, and artificial intelligence. E-mail: [email protected]

Vetrivelan Pandu

Vetrivelan Pandu completed the bachelor's degree in engineering from the University of Madras, Chennai, and both Master of Engineering in embedded systems technologies and a Doctor of Philosophy in information and communication engineering from Anna University, Chennai. He is working as a professor in the school of electronics engineering and assistant controller of examinations (ACOE) at Vellore Institute of Technology (VIT), Chennai, India. He has over 18 years of teaching experience in CSE and ECE Departments in both private engineering colleges in Chennai and private engineering university in Chennai, respectively. His research interests include wireless networks, adhoc and sensor networks,VANETs, embedded systems, and the internet of things (IoT) with machine learning.

K. B. Ajeyprasaath

Ajeyprasaath. KB received his undergraduate degree in electronics and communication engineering from Anna University in 2011, and master’s degree in embedded system technologies in 2013. He worked as an assistant professor at Annai Mathammal Sheela Engineering College, Anna University. He is currently pursuing a doctorate degree at the Vellore Institute of Technology of the school of electronics engineering, Chennai. His areas of interest are wireless networks, wireless communication, internet of things, and embedded systems. E-mail: [email protected]