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Focal onset seizure prediction using convolutional networks
Haidar Khan
,
Lara Marcuse
,
Madeline Fields
, Kalina Swann
, Bulent Yener
Friedman Brain Institute
Icahn School of Medicine at Mount Sinai
Nash Family Center for Advanced Circuit Therapeutics
Neurology
Research output
:
Contribution to journal
›
Article
›
peer-review
316
Scopus citations
Overview
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Keyphrases
Seizure Prediction
100%
Focal Seizures
100%
Convolutional Networks
100%
Preictal
100%
Interictal
66%
Scalp Electroencephalogram
66%
Seizure Prediction Horizon
66%
Electroencephalography
33%
Prediction Algorithms
33%
Electroencephalogram
33%
Seizure Onset
33%
Optimization Problem
33%
Robust Set
33%
Phase Transition
33%
Electroencephalogram Data
33%
Ictal
33%
Prediction Horizon
33%
Result Prediction
33%
Computational Solutions
33%
Kullback-Leibler Divergence
33%
Competing Objectives
33%
Convolutional Filter
33%
Wavelet Transformation
33%
Random Predictors
33%
Preictal State
33%
False Prediction
33%
Prediction Rate
33%
Medicine and Dentistry
Epileptic Seizure
100%
Electroencephalogram
80%
Scalp
40%
Partial Seizure
40%
Ictal
20%
Interictal Period
20%
Neuroscience
Seizure Prediction
100%
Electroencephalogram
100%
Ictal
25%
Biochemistry, Genetics and Molecular Biology
Electroencephalogram
100%
Solution and Solubility
25%
Ictal
25%
Pharmacology, Toxicology and Pharmaceutical Science
Focal Epilepsy
100%