Key result
Breathe Easy EDA (BEEDA) is a novel MATLAB toolbox developed to facilitate the identification and elimination of respiration-related artifacts in electrodermal activity data.
The BEEDA toolbox provides a flexible solution for identifying and eliminating respiration-related artifacts in electrodermal activity data, reducing false positives in psychophysiology research.
Electrodermal activity (EDA) recordings are widely used in experimental psychology to measure skin conductance responses (SCRs) that reflect sympathetic nervous system arousal. However, irregular respiration patterns and deep breaths can cause EDA fluctuations that are difficult to distinguish from genuine arousal-related SCRs, presenting a methodological challenge that increases the likelihood of false positives in SCR analyses. Thus, it is crucial to identify respiration-related artifacts in EDA data. Here we developed a novel and freely distributed MATLAB toolbox, Breathe Easy EDA (BEEDA). BEEDA is a flexible toolbox that facilitates EDA visual inspection, allowing users to identify and eliminate respiration artifacts. BEEDA further includes functionality for EDA data analyses (measuring tonic and phasic EDA components) and reliability analyses for artifact identification. 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).
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Ksander et al. (2018) studied Electrodermal activity (EDA) artifacts. Breathe Easy EDA (BEEDA) toolbox was evaluated. Breathe Easy EDA (BEEDA) is a novel MATLAB toolbox developed to facilitate the identification and elimination of respiration-related artifacts in electrodermal activity data.
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