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Breathe Easy EDA: A MATLAB toolbox for psychophysiology data management, cleaning, and analysis
John C Ksander1,2, Sarah M Kark1, Christopher R Madan1,3
1Department Psychology, Boston College, Chestnut Hill, MA, USA.
F1000Research
|January 17, 2019
Summary
Researchers developed Breathe Easy EDA (BEEDA), a MATLAB toolbox to identify and remove respiration artifacts from electrodermal activity (EDA) recordings. This tool improves the accuracy of skin conductance response (SCR) analyses in psychological research.
Area of Science:
- Psychophysiology
- Experimental Psychology
- Biomedical Signal Processing
Background:
- Electrodermal activity (EDA) measures sympathetic nervous system arousal via skin conductance responses (SCRs).
- Respiration artifacts in EDA data can be mistaken for genuine arousal, leading to false positives in SCR analysis.
- Accurate artifact identification is crucial for reliable EDA data interpretation.
Purpose of the Study:
- To develop a novel, freely available MATLAB toolbox named Breathe Easy EDA (BEEDA).
- To facilitate the identification and removal of respiration-related artifacts from EDA recordings.
- To provide tools for EDA data analysis and artifact identification reliability.
Main Methods:
- Development of a flexible MATLAB toolbox (BEEDA) for EDA data visualization.
- Implementation of algorithms to distinguish respiration artifacts from arousal-related SCRs.
- Inclusion of functionalities for tonic and phasic EDA component analysis and artifact identification reliability.
Main Results:
- BEEDA enables efficient visual inspection and elimination of respiration artifacts in EDA data.
- The toolbox offers comprehensive EDA data analysis capabilities.
- BEEDA provides reliability analyses for artifact identification, enhancing data quality.
Conclusions:
- BEEDA is a valuable, adaptable tool for researchers studying EDA and respiration.
- The toolbox addresses a key methodological challenge in psychophysiological research.
- BEEDA promotes more accurate and reliable SCR analyses by mitigating artifactual influences.
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