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inner-speech-eeg

Staistical analysis and channel selection of EEG Inner Speech data

https://github.com/avedikekiz/inner-speech-eeg

Science Score: 44.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • ✓
    CITATION.cff file
    Found CITATION.cff file
  • ✓
    codemeta.json file
    Found codemeta.json file
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    .zenodo.json file
    Found .zenodo.json file
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    Academic publication links
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    Scientific vocabulary similarity
    Low similarity (2.9%) to scientific vocabulary
Last synced: 6 months ago · JSON representation ·

Repository

Staistical analysis and channel selection of EEG Inner Speech data

Basic Info
  • Host: GitHub
  • Owner: AvedikEkiz
  • License: mit
  • Language: Jupyter Notebook
  • Default Branch: main
  • Size: 15.1 MB
Statistics
  • Stars: 1
  • Watchers: 1
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Created over 1 year ago · Last pushed 8 months ago
Metadata Files
Readme License Citation

README.md

Project Title

Inner-speech-EEG

Description

This repository represents statistical analysis of EEG data collected from spanish-speaking participants while producing 6 words-directions. The notebook contains psd and coherence calculation and ANOVA/t-test comparison, classification trials.

Help

Any advise for common problems or issues. contact ekizyan@sfedu.ru to get dataset

Owner

  • Name: Avedik Ekizyan
  • Login: AvedikEkiz
  • Kind: user
  • Company: Research center of neurotechnologies, Southern Federal University

Area of research interests - neuroscience, signal processing, BCI development (EEG based).

Citation (CITATION.cff) 

cff-version: 1.2.0
message: "If you use this software, please cite it as below."
title: "Inner-Speech-EEG"
authors:
  - family-names: Ekizyan
    given-names: Avedik Khachaturovich
    name: Avedik Khachaturovich Ekizyan
    affiliation:  Southern Federal University
license: MIT
type: software
repository-code: https://github.com/AvedikEkiz/Inner-Speech-EEG
keywords:
  - EEG
  - coherence
  - ML
abstract: >
  This repository represents statistical analysis of EEG data collected from Spanish-speaking participants while producing 6 words-directions. The notebook contains PSD and coherence calculation, ANOVA/t-test comparisons, and classification trials.

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