| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 5737171 | Journal of Neuroscience Methods | 2017 | 10 Pages |
Abstract
Accurate and rapid detection of high frequency activity increases the clinical viability of this rhythmic biomarker of epilepsy. The proposed spike-ripple detector rapidly identifies candidate spike-ripple events, thus making clinical analysis of prolonged, multielectrode scalp EEG recordings tractable.
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Authors
Catherine J. Chu, Arthur Chan, Dan Song, Kevin J. Staley, Steven M. Stufflebeam, Mark A. Kramer,