eeglab 2021.0 toolbox (MathWorks Inc)
90
Structured Review
MathWorks Inc
eeglab 2021.0 toolbox
Eeglab 2021.0 Toolbox, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/eeglab+toolbox+eeglab+2021%2E0/pm40467947-308-11-15
Average 90 stars, based on 1 article reviews
Eeglab 2021.0 Toolbox, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/eeglab+toolbox+eeglab+2021%2E0/pm40467947-308-11-15
Average 90 stars, based on 1 article reviews
eeglab 2021.0 toolbox - by Bioz Stars,
2026-09
90/100 stars
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other:Article Title: Major depressive disorder recognition by quantifying EEG signal complexity using proposed APLZC and AWPLZC. Article Snippet: Background: Seeking objective quantitative indicators is important for accurately recognizing major depressive disorder (MDD).. Lempel-Ziv complexity (LZC), employed to characterize neurological disorders, faces limitations in tracking dynamic changes in EEG signals due to defects in the coarse-graining process, hindering its precision for MDD objective quantitative indicators.. Methods: This work proposed Adaptive Permutation Lempel-Ziv Complexity (APLZC) and Adaptive Weighted Permutation Lempel-Ziv Complexity (AWPLZC) algorithms by refining the coarse-graining process and introducing weight factors to effectively improve the precision of LZC in characterizing EEGs and further distinguish MDD patients better. |