Skin stress analysis using MATLAB

Skin stress analysis via MATLAB, employing time-frequency methods for signal exploration and stress assessment.

This project utilizes skin conductance signals to elucidate physiological stress responses. Employing MATLAB's time-frequency analysis, it seeks deeper insights into stress dynamics. Through comprehensive signal analysis, including preprocessing and feature extraction, the project aims to uncover patterns indicative of stress. The focus is on leveraging techniques like Short-Time Fourier Transform (STFT) or Continuous Wavelet Transform (CWT) to explore how stress manifests in skin conductance data across time and frequency domains. By extracting meaningful features and analyzing their variations, this study aims to enhance our understanding of stress physiology. Ultimately, the project contributes to advancing stress assessment methodologies, potentially aiding in early detection and intervention strategies.