i-NXGeVita: IoMT based Ubiquitous Health Monitoring System using Deep Neural Networks

摘要

Internet of Things is a new emerging technology by which devices can communicate using internet. The proposed work (i-NXGeVita), Intelligent Next Generation Vital Signs Monitoring System, states that how to apply Internet of Things in Healthcare using Machine Learning Techniques. Indeed, connect Internet of Medical Things (IoMT) to patient will be helping Doctors and Caregivers to monitor him or her in real-time around the globe. The IoMT devices will collect Vital Signs data such as body temperature, pulse rate, heartbeats (signals), using ECG (Electrocardiogram) sensor, Temperature sensor, etc. That will be stored in the Cloud System and it will synchronize with the local server. Machine Learning comes to analyze those data to identify health risks and estimate severity in real-time by using its Algorithms. i-NXGeVita based on Deep Neural Networks (DNN) and IoMT can differentiate between Normal and Abnormal Heartbeats and classify different Abnormal Rhythms. Such techniques will be very useful for physicians to detect possible Health problems and deliver appropriate Medical assistance on time to serve humankind in better way.