Removing the Effect of Hemodynamic Response Function in Joint Factorization of EEG and fMRI Datasets
Purpose: One of the most well-known multimodality techniques is the integration of EEG and fMRI datasets. Convolution of EEG signals with hemodynamic response function is one of the most important methods to consider the effect of HRF in the fusion of EEG and fMRI data. However, the latencies and a...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Tehran University of Medical Sciences
2019-06-01
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| Series: | Frontiers in Biomedical Technologies |
| Subjects: | |
| Online Access: | https://fbt.tums.ac.ir/index.php/fbt/article/view/207 |