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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Davis, J.J. Kozma, R. |
| Copyright Year | 2014 |
| Description | Author affiliation: Center for Large-Scale Integrated Optimization Networks, Univ. of Memphis, Memphis, TN, USA (Davis, J.J.) || Dept. Math. Sci., Univ. of Memphis, Memphis, TN, USA (Kozma, R.) |
| Abstract | Transient cortical oscillations in the form of rapid synchronization-desynchronization transitions are key candidates of neural correlates of higher cognitive activity monitored by scalp EEG and intracranial ECoG arrays. The transition period is in the order of 20-30 ms, and standard signal processing methodologies such as Fourier analysis are inadequate for proper characterization of the phenomenon. Hilbert transform-based (HT) analysis has shown great promise in detecting rapid changes in the synchronization properties of the cortex measured by high-density EEG arrays. Therefore, HT is a primary candidate of operational principles of brain computer interfaces (BCI). Hilbert transform over narrow frequency bands has been applied successfully to develop robust BCI methods, but optimal filtering is a primary concern. Here we systematically evaluate the performance of FIR filters over various narrow frequency bands before applying Hilbert transforms. The conclusions are illustrated using rabbit ECoG data. The results are applicable for the analysis of scalp EEG data for advanced BCI devices. |
| Starting Page | 16 |
| Ending Page | 23 |
| File Size | 3882979 |
| Page Count | 8 |
| File Format | |
| ISBN | 9781479945436 |
| DOI | 10.1109/CIBCI.2014.7007787 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2014-12-09 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Analytic Amplitude Rabbits Hilbert Transform Electrocorticogram Transforms Instantaneous Frequency Cognition Synchronization Oscillators Standards Band-pass filters Analytic Phase Finite impulse response filters |
| Content Type | Text |
| Resource Type | Article |
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