Louisiana Tech Digital Commons
metadata only
Intrinsic mode function synchronization measures for the anticipation of seizures in epilpsy
Epileptic seizures affect as many as 50 million people and often occur without warning or apparent provocation. We explore the applicability of noise-assisted Ensemble Empirical Mode Decomposition (EEMD) for patient-specific seizure anticipation synchronization measures as applied to the EEMD intrin
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Inter observer variability assessment through ordered weighted belief divergence measure in MAGDM#304108
- Localizing epileptogenic zones using interictal intracranial electroencephalography and deep learning#478022
- Automated classification of seizure onset pattern using intracranial electroencephalogram signal of non-human primates.#360860
- Quantifying Event-Related (De)Synchronization Variability for Brain-Computer Interface: A Unified and Interpretable Framework#1129337
- From EEG Source Localization to Brain Network Analysis: A Computational Neuroscience Perspective#1133217
Record · ID 957851
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive