Signal Processing

Wavelet-based motion artifact removal for Electrodermal Activity
We propose a method for removing motion artifacts from Electrodermal Activity using a stationary wavelet transform. We modeled the wavelet coefficients as a Gaussian mixture distribution corresponding to the underlying skin conductance level and skin conductance responses. Our method achieves a greater reduction of artifacts while retaining motion-artifact-free data.
W. Chen, Natasha Jaques, S. Taylor, A. Sano, S. Fedor, \& Picard R. Picard R
2015 In International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
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Wavelet-based motion artifact removal for Electrodermal Activity