Name
Abstract | ||
|---|---|---|
We use a Bayesian framework to detect periodic components in fMRI data. The resulting detector is sensitive to periodic components with a flexible number of harmonics and with arbitrary amplitude and phases of the harmonics. It is possible to detect the correct number of harmonics in periodic signals even if the fundamental frequency is beyond the Nyquist frequency. We apply the signal detector to locate regions that are highly affected by periodic physiological artifacts, such as cardiac pulsation. |
Year | DOI | Venue |
|---|---|---|
2002 | 10.1016/S0933-3657(02)00007-6 | Artificial Intelligence In Medicine |
Keywords | Field | DocType |
exploratory data analysis,fundamental frequency | Periodic function,Data mining,Fundamental frequency,Nyquist frequency,Computer science,Algorithm,Speech recognition,Harmonics,Exploratory data analysis,Periodic graph (geometry),Detector,Amplitude | Journal |
Volume | Issue | ISSN |
25 | 1 | 0933-3657 |
Citations | PageRank | References |
10 | 1.70 | 0 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Lars Kai Hansen | 1 | 2776 | 341.03 |
| Finn Årup Nielsen | 2 | 373 | 36.16 |
| Jan Larsen | 3 | 55 | 6.62 |