Matlab toolbox for Electrodermal Activity (EDA) data management, cleaning, and analysis.
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johnksander/BreatheEasyEDA
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Breathe Easy EDA (BEEDA) is a simple but flexible toolbox for Electrodermal Activity (EDA) data management, cleaning, and analysis. This software was specifically designed to facilitate the methodical considerations of psychophysiology researchers. BEEDA enables users to eliminate EDA respiration artifacts and analyze EDA data using tonic and phasic EDA metrics, following from standard methodological implementations. The toolbox is suitable for any experiment recording both EDA and respiration data, and flexibly adjusts to experiment-specific parameters (e.g., trial structure and analysis parameters). BEEDA can be downloaded from https://github.com/johnksander/BreatheEasyEDA and is distributed with a GNU General Public License v3.0 (see LICENSE.txt). ------------------------------------------------------------------------------------------ DOCUMENTATION The primary documentation for this software is located in the documentaton/ directory. This documentation consists of: ---BEEDA_user_guide The main technical guide for installing, using, and troubleshooting this toolbox. ---BEEDA_psychonomics_poster Poster for this software presented at the 2016 Psychonomic Society, Boston, Massachusetts. ---BEEDA_manuscript_link This file contains a link to the manuscript for this software. ---Schneider_2003 A useful guide for evaluating respiration artifacts. This document contains the DOI link and reference for that guide. ------------------------------------------------------------------------------------------ DEMO DATA Example raw data can be downloaded at https://github.com/johnksander/BEEDA_sample_data These datafiles were exported from a Biopac system, and may be helpful for exploring BEEDA functionality. ------------------------------------------------------------------------------------------ ADDITIONAL INFORMATION If you find BEEDA helpful, please cite with information provided at: https://f1000research.com/articles/7-216/v2 For any questions and comments, please e-mail jksander@brandeis.edu
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Matlab toolbox for Electrodermal Activity (EDA) data management, cleaning, and analysis.
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