This program implements the cvxEDA algorithm for the analysis of electrodermal activity (EDA) using methods of convex optimization, described in:
A Greco, G Valenza, A Lanata, EP Scilingo, and L Citi
"cvxEDA: a Convex Optimization Approach to Electrodermal Activity Processing"
IEEE Transactions on Biomedical Engineering, 2015
DOI: 10.1109/TBME.2015.2474131
It is based on a model which describes EDA as the sum of three terms: the phasic component, the tonic component, and an additive white Gaussian noise term incorporating model prediction errors as well as measurement errors and artifacts.
This model is physiologically inspired and fully explains EDA through a rigorous methodology based on Bayesian statistics, mathematical convex optimization and sparsity.
Luca Citi (2021). cvxEDA (https://github.com/lciti/cvxEDA), GitHub. Retrieved .
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!Create scripts with code, output, and formatted text in a single executable document.
Helpful matlab function to explore and analyze EDA signal. I tried to use it on my samples, so far so good until I got negative value for tonic part. I have no experience working with EDA signal but I think it is impossible. Would you explain me this phenomenon? Thank you.