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A kurtosis-based wavelet algorithm for motion artifact correction of fNIRS data
Movements are a major source of artifacts in functional Near-Infrared Spectroscopy (fNIRS). Several algorithms have been developed for motion artifact correction of fNIRS data, including Principal Component Analysis (PCA), targeted Principal Component Analysis (tPCA), Spline Interpolation (SI), and...
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| Vydáno v: | Neuroimage |
|---|---|
| Hlavní autoři: | , , , |
| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
2015
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| Témata: | |
| On-line přístup: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4408240/ https://ncbi.nlm.nih.gov/pubmed/25747916 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.neuroimage.2015.02.057 |
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