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Anurag Sinha

Amity University Jharkhand, India

Title: Application of IoMT, telemedicine, explainable AI, Deep learning based tools for medical procedure enhancement and combating pandemic Covid-19 in India- A case study from India focusing remote delivery of Pandemic essentials, significance of latest technology in managing medical problems during pandemic in India

Biography

Biography: Anurag Sinha

Abstract

Digital health and tale medicine became predominant during covid9 for combating its challenges on daily basis. Telemedicine is emerging as a boon for new era strategy Oriented tool for dealing with medical concern. The outbreak of covid 19 was a public health emergency which took a long period complete shutdown. In India the first phase and second phase of covid 19 left out different impact on the society. In this presentation i have dragged multiple instances of case study from India in combating pandemic through latest technology and Remote delivery of pandemic essential in a nutshell. In several parts of India like Telangana Drone technology was introduced to provide the health care services and Medicine at remote rural areas. Similarly how digital technology and cloud based application helped in oxygen cylinder tracking and vaccination campaign these all case study is discussed in this lecture. At last I am going to discuss how inclusion of IoMT and artificial intelligence can boosted these diverse timeframe of covid 19 in India. Ubiquitous computing is said to be computing framework which is versatile and seamless in terms cognitive nature and efficiency. With rise in explainable artificial intelligence system in healthcare as well as in industry are getting smarter in terms of result efficiency and proximity with the query raised. Internet of things is gaining popularity so rapidly that the day is not so far when it will be known as internet of everything. Internet of things is being applied in healthcare for multi dimensional application such patient monitoring, automation in equipments, being used as wireless body sensors network which is called as HIoT. Healthcare application of IoT creates more cognitive factors for human computer interaction, thus in this chapter we are presenting various application area of IoMT in healthcare and wireless body sensor network to present the significance of IoMT. Also we have given a detailed survey of how Iomt technique being advanced and widely used in healthcare across the globel with amalgamation big data in healthcare sector. —The combination of computing and electronics made it one of the best technologies. It is evolving in the form of the Internet of Things (IoT). Among the many applications activated by the Internet of Things (IoT), smart and connected health services are particularly important. Impact of IOT,It is still in its infancy, but medical assistance is important. Network sensor, worn It allows the collection of rich information integrated in the body or in our living environment Of our physical and mental health. In this white paper, we'll take a look at and understand custom IoT applications we provide excellent medical services at low cost. What is IoT and how methods used with wireless and sensing technologies to achieve desired functionality medical applications? Here we have highlighted the opportunities and challenges of IOT in realizing our vision. The future of health care. Sensors, ubiquitous computing, and intelligent information processing technologies are widely used in the Body Sensor Network (BSN), which is one of the Wireless Sensor Networks (WSN). BSN is playing an increasingly important role in healthcare, social work and sport and is changing the way humans use computers. Existing investigations have focused on BSN concept and architecture, signal acquisition, context sensing, and systems technology, and this white paper will focus on sensors, data fusion, and network communication. It also presents the current state of research, hot spot analysis and future development trends of BSN and a discussion of the main challenges and technical issues currently encountered. Typical research projects and practical applications of BSN are also presented. BSN is moving in the direction of integration and multitechnology intelligence. There are still many problems, but the future of BSN is bright in nature, radically changing the relationship between man and machine and improving the quality of people's lives.