Sparse estimation of the hemodynamic response function in functional near infrared spectroscopy
Functional near-infrared spectroscopy (fNIRS) signals offer an interesting alternative to functional magnetic resonance imaging (fMRI) when investigating the temporal dynamics of brain region responses during activations. The hemodynamic response function (HRF) is the object of primary interest to neuroscientists in this case. Making use of a semiparametric model to characterize the oxygenated (HbO) and deoxygenated (HbR) fNIRS time-series and a sparsity assumption on the HRF, a new method for...[Show more]
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|Source:||ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings|
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