ABSTRACT
Interactions between the environmental and biological system reflect the health status of humans. Ecology has various aspects to be considered for human health observation but the main key areas are Air pollution, PM level, Humidity and anthropogenic activities in different areas. Human body has different indicator. The ECG is one of the key parameters to be used by medical practitioners and Biomedical researchers for observation of critical situation of human physiology. ECG is one of the most important parameters who gives enormous number of information to cure the health of human subjects. The aim of this review paper is to study different machine learning and deep learning techniques used for processing of ECG signal for monitor and control the process and classification in relation to ecosystem and evaluate novel literature and developments.
