Title: Internet of Medical Things (IoMT)-Edge machines to medical machines talk

Abstract

Artificial Intelligence one of the forerunner emerging technology (AI) have come across with the capability to bring together vast proportion of data and technologies to create deep insights and process of optimization accuracy and efficiencies.AI present AI is contributing to both the administrative and clinical care aspects of healthcare delivery system. The need for a better quality of life has led to revolutions in many aspects of human life. Due to the growing population of elderly people in several countries along with the need to reduce the cost of healthcare result in a big need for medical devices that can monitor and diagnose well being of individuals in their daily life and can provides alarm. To achieve this a no of devices as a wearable computing technologies are becoming as Edge devices. These in addition devices are connected in the Internet of Things (IoT) ecosystem and interact with each other to enable various solutions to the end users. The term Internet of Medical Things (IoMT) a healthcare application of IoT technology empowers a network comprises of connected devices, mobile apps that are integrated with sensors radio identification cameras (RFID) etc. The sensing system working as edge perceives change in human parameters environment and then recognize the person location as well as changes in parameters. The Integration and habitation of Internet into our environment has paved a path for IoMT applications and systems into our lives on ground daily basis. The push to add connectivity at the Edges of Networks with devices adding data at an unmatched pace, devices enable patients to choose their application and devices where connecting medical devices are no different from connecting the devices for any other purpose. The fundamental relationship between patient and care shift 24x.7 The IoT based system is responsible for the full care of the patient and these systems are flexible to the patients conditions and there parameters can be set as per patient illness. AI have some challenges, such as centralized architecture, security, and privacy, resource constraints, lack of enough training data. In this Work, I tried to provide an overview related to IoT services and technologies in healthcare. A number of research challenges have been identified, which are expected to become major research trends in the next years.