Name
Title | ||
|---|---|---|
Joint-IVA for identification of discriminating features in EEG: Application to a driving study. |
Abstract | ||
|---|---|---|
•Dataset concatenation in the IVA model increases performance via high sample properties and dependent information across concatenated datasets.•Applying multiple types of data fusion at once gives more informative description of the underlying system.•Evidence of EEG theta power desynchronization prior to a predicted incoming event in single-trial EEG data.•Evidence of EEG theta power desynchronization prior to EEG alpha power desynchronization in single trial EEG data. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1016/j.bspc.2020.101948 | Biomedical Signal Processing and Control |
DocType | Volume | ISSN |
Journal | 61 | 1746-8094 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ben Gabrielson | 1 | 0 | 0.68 |
| Mohammad A. B. S. Akhonda | 2 | 0 | 0.34 |
| Suchita Bhinge | 3 | 3 | 3.80 |
| Justin Brooks | 4 | 0 | 0.34 |
| Qunfang Long | 5 | 0 | 3.38 |
| Tülay Adali | 6 | 1690 | 126.40 |