Publication: A new approach for automatic removal of movement artifacts in near-infrared spectroscopy time series by means of acceleration data
A new approach for automatic removal of movement artifacts in near-infrared spectroscopy time series by means of acceleration data
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Metz, A., Wolf, M., Achermann, P., & Scholkmann, F. (2015). A new approach for automatic removal of movement artifacts in near-infrared spectroscopy time series by means of acceleration data. Algorithms, 8(4), 1052–1075. https://doi.org/10.3390/a8041052
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Near-infrared spectroscopy (NIRS) enables the non-invasive measurement of changes in hemodynamics and oxygenation in tissue. Changes in light-coupling due to movement of the subject can cause movement artifacts (MAs) in the recorded signals. Several methods have been developed so far that facilitate the detection and reduction of MAs in the data. However, due to fixed parameter values (e.g., global threshold) none of these methods are perfectly suitable for long-term (i.e., hours) recordings or were not time-effective when applied to
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- Wolf, Martin
- Achermann, Peter
- Scholkmann, Felix
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Metz, A., Wolf, M., Achermann, P., & Scholkmann, F. (2015). A new approach for automatic removal of movement artifacts in near-infrared spectroscopy time series by means of acceleration data. Algorithms, 8(4), 1052–1075. https://doi.org/10.3390/a8041052
