epinetlab Search Results


epinetlab  (MathWorks Inc)
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MathWorks Inc epinetlab
Functional blocks in <t>EPINETLAB.</t> Four different blocks of functions are defined: (1) Time-frequency transform and statistical analysis. (2) Automated HFO detection and artifact identification. (3) Performance evaluation. (4) Supplementary functions.
Epinetlab, 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/result/epinetlab/product/MathWorks Inc
Average 90 stars, based on 1 article reviews
epinetlab - by Bioz Stars, 2026-04
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Functional blocks in EPINETLAB. Four different blocks of functions are defined: (1) Time-frequency transform and statistical analysis. (2) Automated HFO detection and artifact identification. (3) Performance evaluation. (4) Supplementary functions.

Journal: Frontiers in Neuroinformatics

Article Title: EPINETLAB: A Software for Seizure-Onset Zone Identification From Intracranial EEG Signal in Epilepsy

doi: 10.3389/fninf.2018.00045

Figure Lengend Snippet: Functional blocks in EPINETLAB. Four different blocks of functions are defined: (1) Time-frequency transform and statistical analysis. (2) Automated HFO detection and artifact identification. (3) Performance evaluation. (4) Supplementary functions.

Article Snippet: EPINETLAB was implemented as a multi-GUI set of functions to allow users not experienced in the Matlab environment to apply advanced signal processing techniques to datasets acquired during pre-surgical evaluation.

Techniques: Functional Assay

EEGLAB main bar with the EPINETLAB plugin installed.

Journal: Frontiers in Neuroinformatics

Article Title: EPINETLAB: A Software for Seizure-Onset Zone Identification From Intracranial EEG Signal in Epilepsy

doi: 10.3389/fninf.2018.00045

Figure Lengend Snippet: EEGLAB main bar with the EPINETLAB plugin installed.

Article Snippet: EPINETLAB was implemented as a multi-GUI set of functions to allow users not experienced in the Matlab environment to apply advanced signal processing techniques to datasets acquired during pre-surgical evaluation.

Techniques: