Wavelet-based motion artifact removal for electrodermal activity

Wavelet-based motion artifact removal for electrodermal activity

Electrodermal activity (EDA) recording is a powerful, widely used tool for monitoring psychological or physiological arousal. However, analysis of EDA is hampered by its sensitivity to motion artifacts. We propose a method for removing motion artifacts from EDA, measured as skin conductance (SC), us...

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Bibliographic Details
Main Authors: Chen, Weixuan (Contributor), Jaques, Natasha Mary (Contributor), Taylor, Sara Ann (Contributor), Sano, Akane (Contributor), Fedor, Szymon (Contributor), Picard, Rosalind W. (Contributor)
Other Authors: Massachusetts Institute of Technology. Media Laboratory (Contributor), Program in Media Arts and Sciences (Massachusetts Institute of Technology) (Contributor)
Format: Article
Language:English
Published: Institute of Electrical and Electronics Engineers (IEEE), 2017-07-12T16:59:36Z.
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