This website is part of an ongoing project to help researchers extract meaningful information from EDA data, and to provide a community for those EDA researchers. The artifact detection algorithm encoded in the site is based on the empirically validated work provided below. If you use our website to analyze your data, please cite our work! Thank you.
Taylor, S., Jaques, N., Chen, W., Fedor, S., Sano, A., and Picard, R. "Automatic Identification of Artifacts in Electrodermal Activity Data" In Proc. International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Milan, Italy, August 2015.