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• W2037458212 abstract "This paper presents an online brain imaging framework for cognitive tasks conducted with functional near-infrared spectroscopy (fNIRS). The measured signal at each channel is regarded as the output from a linear system with unknown coefficients. The unknown coefficients are estimated by using the recursive least squares estimation (RLSE) method. The validity of the estimated parameters is tested using the t-statistics. Contrary to the classical approach that is offline and applies the same preprocessing scheme to all channels, the proposed RLSE method for a linear model formulation provides an independent robust adaptive process for individual channels. The experiments carried out with two fNIRS instruments (continuous-wave and frequency-domain) have verified the potential of the proposed methodology which can facilitate a prompt medical diagnostics by providing real-time brain activation maps." @default.
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• W2037458212 date "2012-04-01" @default.
• W2037458212 modified "2023-10-18" @default.
• W2037458212 title "Cortical brain imaging by adaptive filtering of NIRS signals" @default.
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• W2037458212 doi "https://doi.org/10.1016/j.neulet.2012.02.048" @default.
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