Edouard99/Stress_Detection_ECG
:stethoscope: This project aims to detect stress state based on Electrocardiogram :hearts: signals (WESAD Dataset) analysis with a deep learning model.
This project helps researchers and health professionals automatically identify stress in individuals by analyzing their Electrocardiogram (ECG) signals. It takes raw ECG data as input and outputs a determination of whether the individual is experiencing stress or not. It is designed for those who work with physiological data and need an automated way to detect stress.
No commits in the last 6 months.
Use this if you need to classify stress states from ECG signals and want a deep learning model that has shown improved accuracy over traditional methods.
Not ideal if your data is not ECG-based or if you require real-time, on-device stress detection without pre-processing.
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Nov 07, 2022
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