Linear time-varying model characterizes invasive EEG signals generated from complex epileptic networks
Linear time-varying model characterizes invasive EEG signals generated from complex epileptic networks is a scholarly work, published in 2017 in ''Annual International Conference of the IEEE Engineering in Medicine and Biology Society''. The main subjects of the publication include synaptic plasticity, epilepsy surgery, neuroscience, epilepsy, electroencephalography, computer science, electrocorticography, pattern recognition, Stereoelectroencephalography, brain–computer interface, and artificial intelligence. The authors find that these LTV models accurately reconstruct both ECoG and SEEG time series measured suggesting that these LTV models can be used for EZ localization.