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Found 2 papers, 1 papers with code
Topological biomarkers for real-time detection of epileptic seizures
Real time seizure detection is a fundamental problem in computational neuroscience towards diagnosis and treatment's improvement of epileptic disease.
Intrinsic persistent homology via density-based metric learning
Our approach is based on the computation of persistent homology of the space of data points endowed with a sample metric known as Fermat distance.
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