Name
Abstract | ||
|---|---|---|
Hemodynamic response function (HRF) estimation in functional near-infrared spectroscopy (fNIRS) plays an important role in characterizing the temporal dynamics of the brain response. Estimation based on semiparametric modeling is very useful for fNIRS signals. However, the Gaussian noise assumption may be too simplistic since the sources of noise and their nature are various in fNIRS. In this pape... |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/TSP.2019.2899289 | IEEE Transactions on Signal Processing |
Keywords | Field | DocType |
Estimation,Hemodynamics,Functional magnetic resonance imaging,Physiology,Brain modeling,Gaussian noise | Pattern recognition,Functional magnetic resonance imaging,First order,Control theory,Nonparametric statistics,Artificial intelligence,Semiparametric model,Gaussian noise,Mathematics,Estimator,Asymptotic distribution | Journal |
Volume | Issue | ISSN |
67 | 7 | 1053-587X |
Citations | PageRank | References |
2 | 0.37 | 0 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Abd-Krim Seghouane | 1 | 193 | 24.99 |
| Davide Ferrari | 2 | 2 | 0.37 |