Abstract
Health is most important factor in homo sapiens life cycle. It is often necessary to do constant monitoring of a person's health. We can take many timely measures and prevent many life threatening occurrence if we can undergo in a constant surveillance of our health. Moreover, medical history is a very important component if not the most valuable asset to diagnose disease and take necessary steps. Specially in heart disease with constant monitoring of ecg signals and storing the data we can avoid many deadly incidents. It also contains many valuable information about many other health issues along with the heart condition. In this venture we will focus on building a complete system combining IOT devices and cloud system structure that can help us to achieve a sustainable and complete ECG monitoring based health care system. We also aim to achieve some data analytics, noise reduction and feature extraction with power of parallel processing in cloud environment from the data that our system collects. Along with this we will also focus on detecting Sleep using video processing so that we can later work on preventing sleep apnea and work on neonates health monitoring. Sleep monitoring is often costly and requires professional super vision through a long period of time to detect irregularities and sleep apnea issues. Sleep monitoring using video processing along with wireless sensor for eeg.ecg result can drastically reduce the cost and help easy detection of life threatening health hazards during sleep..