A predictive epilepsy index based on probabilistic classification of interictal spike waveforms

PloS one, Volume 13, Issue 11, 2018, Pages 1-38.

Cited by: 0|Views11
WOS

Abstract:

Quantification of interictal spikes in EEG may provide insight on epilepsy disease burden, but manual quantification of spikes is time-consuming and subject to bias. We present a probability-based, automated method for the classification and quantification of interictal events, using EEG data from kainate- and saline-injected mice (C57BL/...More

Code:

Data:

Your rating :
0

 

Tags
Comments