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eegwavenet_2021

SzCORE compatible reproduction of EEGWaveNet: Multiscale CNN-Based Spatiotemporal Feature Extraction for EEG Seizure Detection

https://github.com/esl-epfl/eegwavenet_2021

Science Score: 65.0%

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
  • ✓
    .zenodo.json file
    Found .zenodo.json file
  • ✓
    DOI references
    Found 2 DOI reference(s) in README
  • ○
    Academic publication links
  • ○
    Academic email domains
  • ✓
    Institutional organization owner
    Organization esl-epfl has institutional domain (esl.epfl.ch)
  • ○
    JOSS paper metadata
  • ○
    Scientific vocabulary similarity
    Low similarity (0.4%) to scientific vocabulary
Last synced: 6 months ago · JSON representation ·

Repository

SzCORE compatible reproduction of EEGWaveNet: Multiscale CNN-Based Spatiotemporal Feature Extraction for EEG Seizure Detection

Basic Info
  • Host: GitHub
  • Owner: esl-epfl
  • License: other
  • Language: Python
  • Default Branch: main
  • Size: 858 KB
Statistics
  • Stars: 0
  • Watchers: 6
  • Forks: 1
  • Open Issues: 1
  • Releases: 0
Created about 1 year ago · Last pushed about 1 year ago
Metadata Files
Readme License Citation

README.md

EEGWaveNet: Multiscale CNN-Based Spatiotemporal Feature Extraction for EEG Seizure Detection

SzCORE compatible reproduction of Thuwajit et al., 'EEGWaveNet: Multiscale CNN-Based Spatiotemporal Feature Extraction for EEG Seizure Detection', 2021.

Owner

  • Name: Embedded Systems Lab (ESL) - EPFL
  • Login: esl-epfl
  • Kind: organization
  • Location: EPFL, Lausanne, Switzerland

Embedded Systems Laboratory (ESL) at École Polytechnique Fédérale de Lausanne (EPFL)

Citation (CITATION.CFF) 

# This CITATION.cff file was generated with cffinit.
# Visit https://bit.ly/cffinit to generate yours today!

cff-version: 1.2.0
title: EEGWaveNet 2021
message: >-
  If you use this software, please cite it using the
  metadata from this file.
type: software
authors:
  - given-names: Punnawish
    family-names: Thuwajit
    affiliation: Vidyasirimedhi Institute of Science and Technology
  - given-names: Clément
    family-names: Samanos
    affiliation: EPFL-ESL
  - given-names: Jonathan
    family-names: Dan
    email: jonathan.dan@epfl.ch
    affiliation: EPFL-ESL
    orcid: 'https://orcid.org/0000-0002-2338-572X'
identifiers:
  - type: doi
    value: 10.1109/TII.2021.3133307
    description: Original algorithm description
repository-code: 'https://github.com/esl-epfl/eegwavenet_2021'
abstract: >-
  This repository re-implements Jean Gotman, 'EEGWaveNet: Multiscale CNN-Based 
  Spatiotemporal Feature Extraction for EEG Seizure Detection', IEEE 
  Transactions on Industrial Informatics, 2021.
license: MIT

GitHub Events

Total
  • Watch event: 1
  • Issue comment event: 1
  • Push event: 1
  • Pull request event: 1
  • Fork event: 1
  • Create event: 2
Last Year
  • Watch event: 1
  • Issue comment event: 1
  • Push event: 1
  • Pull request event: 1
  • Fork event: 1
  • Create event: 2

Dependencies

Dockerfile docker
  • nvidia/cuda 12.4.0-runtime-ubuntu22.04 build
thuwajit_2021/pyproject.toml pypi
  • epilepsy2bids >=0.0.6
  • numpy >=1.25
  • scipy >=1.14.1
  • torch >=2.4