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EEG-Feature-Extraction-Toolbox

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software/eeg-feature-extraction-toolbox

This toolbox offers 30 types of EEG feature extraction methods (HA, HM, HC, and etc.) for Electroencephalogram (EEG) applications.

Machine-generated from the listed sources and not yet reviewed by a human.

EEG-Feature-Extraction-Toolbox project image
GitHub preview card for JingweiToo/EEG-Feature-Extraction-Toolbox. Served by its origin, not stored here, and not covered by this registry’s licence.
record
Category
Software & Systems
Subcategory
unknown
License
BSD-3-Clause(osi)
Status
dormant
Maturity
deployed
Organization
unknown
Country
unknown
Homepage
unknown
Documentation
unknown
Tags
classification · eeg · electroencephalogram · feature-extraction · machine-learning · signal-processing
Regulatory
unknown
built by · 1

Top contributors by commit count, from the project’s public repository. Avatars are served by their origin, not stored here. To be removed from this list, open an issue.

similar by tags

Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.

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    Motor Imagery EEG signal Classification on DWT

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  • eeg-self-supervisioneeg · electroencephalogram

    Resources for the paper titled "Domain-guided Self-supervision of EEG Data Improves Downstream Classification Performance and Generalizability". Accepted at ML4H Symposium 2021 with an oral spotlight!

  • ERP_Connectivity_EMG_Analysiseeg · electroencephalogram

    Essential Motor Cortex Signal Processing MATLAB Toolbox which implements various methods for three major aspects of investigating human motor cortex from Neuroscience view point: (1) ERP estimation…

sources
  1. api.github.com/repos/JingweiToo/EEG-Feature-Extraction-Toolbox
    retrieved 2026-08-05 · via github-api

    Machine-imported from GitHub search. Last push 2021-01-10, 94 stars, license reported as BSD-3-Clause. Category and schematic were assigned by keyword heuristics and are unreviewed.

Not yet verified by a human. Correct this record →

machine-readable

/v1/entries/5.json→ .entries["eeg-feature-extraction-toolbox"]

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