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However, signals are corrupted by motions of subjects, known as motion artifacts, resulting in the limits of fNIRS performances. In this paper, we successfully ...
Jun 17, 2019 · In this paper, we successfully identify and quantify the correlation between the motion artifacts and the sensor displacement by implementing a ...
fNIRS. Conference Paper. Quantification of Motion Artifacts in fNIRS Data by Monitoring Sensor Attachment. February 2019. DOI:10.1109/IWW-BCI.2019.8737342.
Jinwoo Park, Sunghee Dong, Yuseong Hong, Jichai Jeong: Quantification of Motion Artifacts in fNIRS Data by Monitoring Sensor Attachment. BCI 2019: 1-2.
... motion artifacts from fNIRS data using ICA and an acceleration sensor ... Quantification of Motion Artifacts in fNIRS Data by Monitoring Sensor Attachment.
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Oct 15, 2019 · We hypothesized that the combined use of Spline and Wavelet would outperform their individual use on data with complex profiles of motion artifacts.
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The most suitable approach to quantifying the performance of different motion artifact correction techniques is to use real, resting-state fNIRS data, which are ...
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Feb 27, 2024 · An IMU integration allows seamless simultaneous recording of motion data together with the NIRS-data, which results in better movement artifact detection.
fNIRS measurements are intended to sense hemodynamic activity in the volume optically explored. As noted in Sec. 1, however, low light levels and large motion ...
Quantification Of Motion Artifacts In FNIRS Data By Monitoring Sensor Attachment. 作者： Park J.;Dong S.;Hong Y.;Jeong J.;. 摘要: Among today's various brain ...