CNN based stress detection from ECG: A systematic survey

Stress is the regular response of the body in demanding situations but the chronic stress is very harmful affecting our emotional and physical well-being. The role of Autonomic Nervous System (ANS) in stress is discussed. In this survey various paper based on the stress detection using Convolutional Neural Networks (CNN) that were published in the range of 4 years (2019 – 2022) were collected. The stress detection processes are classified based on different sources of information used. The sources of data include physiological signals, report collected through questionnaire sessions, data from observing the actions in social media and more. Among various bio-signals, stress detection from Electrocardiograph signal is mainly focused and discussed in this survey. This paper analyses each article focusing on the four major factors namely the stressor used, pre-processing of the datasets collected, methodologies proposed, the outcome of the various papers.