Conference Proceedings
Motion Artefact Removal in Functional Near-infrared Spectroscopy Signals Based on Robust Estimation
M Wang, AK Seghouane
Proceedings of the ... IEEE International Conference on Acoustics, Speech, and Signal Processing / sponsored by the Institute of Electrical and Electronics Engineers Signal Processing Society. ICASSP (Conference) | IEEE | Published : 2019
Abstract
© 2019 IEEE. Functional Near-InfraRed Spectroscopy (fNIRS) has gained widespread acceptance as a non-invasive neuroimaging modality for monitoring functional brain activities. fNIRS uses light in the near infra-red spectrum (600-900 nm) to penetrate human brain tissues and estimates the oxygenation conditions based on the proportion of light absorbed. In order to get reliable results, artefacts and noise need to be separated from fNIRS physiological signals. This paper focuses on removing motion-related artefacts. A new motion artefact removal algorithm based on robust parameter estimation is proposed. Results illustrate that the proposed algorithm can outperform the state-of-art algorithms ..
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