Symbolic and Compression-Based Complexity in EEG: Benchmarking Frameworks and Thalamic Applications

This work explores the use of symbolic and compression-based complexity measures for analysis of scalp and deep brain EEG signals, with a focus on thalamic EEG. We review symbolizing strategies, entropy based measures (permutation entropy (PE), dispersion entropy(DispEn)) and compression-based metri...

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Principais autores:	Poornima Mohan, Sandipan Pati, Karthi Balasubramanian
Format:	Artigo
Jezik:	Inglês
Izdano:	IEEE 2025-01-01
Serija:	IEEE Access
Teme:	EEG complexity symbolic dynamics compression-based complexity entropy thalamus benchmark
Online dostop:	https://ieeexplore.ieee.org/document/11289532/
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