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...
| Main Authors: | , , , , , |
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| Other Authors: | |
| Format: | Article |
| Language: | en_US |
| Published: |
Institute of Electrical and Electronics Engineers (IEEE)
2017
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| Online Access: | http://hdl.handle.net/1721.1/110678 https://orcid.org/0000-0001-9550-2553 https://orcid.org/0000-0002-8413-9469 https://orcid.org/0000-0003-4133-9230 https://orcid.org/0000-0003-4484-8946 https://orcid.org/0000-0002-9857-0188 https://orcid.org/0000-0002-5661-0022 |