Targeted principle component analysis: a new motion artifact correction approach for near-infrared spectroscopy
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Date
2014-03-01
Authors
YĆ¼cel, Meryem A.
Selb, Juliette
Cooper, Robert J.
Boas, David A.
Version
Accepted manuscript
Published version
Published version
OA Version
Citation
Meryem A YĆ¼cel, Juliette Selb, Robert J Cooper, David A Boas. 2014. "Targeted principle component analysis: a new motion artifact correction approach for near-infrared spectroscopy." J Innov Opt Health Sci, Volume 7, Issue 2, https://doi.org/10.1142/S1793545813500661
Abstract
As near-infrared spectroscopy (NIRS) broadens its application area to different age and disease groups, motion artifacts in the NIRS signal due to subject movement is becoming an important challenge. Motion artifacts generally produce signal fluctuations that are larger than physiological NIRS signals, thus it is crucial to correct for them before obtaining an estimate of stimulus evoked hemodynamic responses. There are various methods for correction such as principle component analysis (PCA), wavelet-based filtering and spline interpolation. Here, we introduce a new approach to motion artifact correction, targeted principle component analysis (tPCA), which incorporates a PCA filter only on the segments of data identified as motion artifacts. It is expected that this will overcome the issues of filtering desired signals that plagues standard PCA filtering of entire data sets. We compared the new approach with the most effective motion artifact correction algorithms on a set of data acquired simultaneously with a collodion-fixed probe (low motion artifact content) and a standard Velcro probe (high motion artifact content). Our results show that tPCA gives statistically better results in recovering hemodynamic response function (HRF) as compared to wavelet-based filtering and spline interpolation for the Velcro probe. It results in a significant reduction in mean-squared error (MSE) and significant enhancement in Pearson's correlation coefficient to the true HRF. The collodion-fixed fiber probe with no motion correction performed better than the Velcro probe corrected for motion artifacts in terms of MSE and Pearson's correlation coefficient. Thus, if the experimental study permits, the use of a collodion-fixed fiber probe may be desirable. If the use of a collodion-fixed probe is not feasible, then we suggest the use of tPCA in the processing of motion artifact contaminated data.
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This is an Open Access article published by World Scientific Publishing Company. It is distributed under the terms of the Creative
Commons Attribution 3.0 (CC-BY) License. Further distribution of this work is permitted, provided the original work is properly cited.