Respiration-related artifacts in EDA recordings: introducing a standardized method to overcome multiple...

Area of Science:

• Psychophysiology
• Biomedical Engineering
• Data Analysis

Background:

• Electrodermal activity (EDA) recordings are susceptible to artifacts from irregular breathing, complicating arousal assessment.
• Existing methods lack clear criteria for evaluating respiration and its impact on EDA.
• Breathing-induced electrodermal reactions (EDRs) can lead to overestimations of arousal and multicausal interpretations in research.

Purpose of the Study:

• To develop and validate a standardized, rule-based method for identifying and controlling breathing-related artifacts in EDA recordings.
• To enhance the accuracy and reliability of EDA data in psychophysiological research.

Main Methods:

• Development of a novel method with rule-based guidelines for identifying potential artifacts in EDA.
• Two experiments involving 14 and 12 participants, respectively, were conducted.
• Assessment of the method's accuracy using judgments from three independent raters.

Main Results:

• The developed method demonstrated high inter-rater reliability for identifying electrodermal reactions (EDRs) and their amplitudes.
• Reliability coefficients for the number of EDRs and their summed amplitudes were consistently satisfactory across experiments (.87, .82 in Exp. 1; .94, .95 in Exp. 2).
• Combined analysis yielded strong convergence coefficients (.92 for EDR count, .91 for amplitude sum).

Conclusions:

• The proposed rule-based method effectively identifies breathing-related artifacts in EDA recordings.
• This approach offers a standardized and reliable way to improve the quality of EDA data.
• Accurate artifact control in EDA enhances the validity of arousal measurements and research findings.