An artificial neural network is used for performing dipole source localization, in order to be able to perform the detection method in real-time. The ...
ABSTRACT. We present a method for the detection of focal epileptic spikes in the EEG (electroencephalogram). The method is based on the dipole source ...
Jan 14, 2015 · The method is based on the dipole source localization technique and provides a source location estimate for each detected spike. An artiicial ...
G. Van Hoey et al., “Detection and localization of epileptic brain activity using an artificial neural network for dipole source analysis,” in Proceedings of ...
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We conclude that an artificial neural network is a very suitable alternative for iterative dipole source localization in applications where large numbers of ...
Jul 26, 2022 · Electrophysiological source imaging (ESI) is an indispensable tool for noninvasively studying brain function and dysfunction.
We review here the evidence for the detection of deep sources in MEG, with emphasis on simultaneous recordings of MEG and SEEG.
Feb 6, 2020 · In this article, we aim to investigate the Partial Stratified Resampling algorithm which is time-efficient that can be used to locate neural sources.
Specifically, we constructed a CNN, named ConvDip, that is capable of detecting multiple sources using training data with biologically plausible constraints.
An artificial neural network is a very suitable alternative for iterative dipole source localization in applications where large numbers of dipole ...