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EEG_real_time_seizure_detection

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software/eeg-real-time-seizure-detection

Real-Time Seizure Detection using EEG: A Comprehensive Comparison of Recent Approaches under a Realistic Setting (CHIL 2022)

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

EEG_real_time_seizure_detection project image
GitHub preview card for AITRICS/EEG_real_time_seizure_detection. Served by its origin, not stored here, and not covered by this registry’s licence.
record
Category
Software & Systems
Subcategory
unknown
License
MIT(osi)
Status
dormant
Maturity
deployed
Organization
AITRICS
Country
unknown
Homepage
unknown
Documentation
unknown
Tags
eeg · eeg-classification · seizure-detection · signal-processing · time-series
Regulatory
unknown
built by · 2

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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  • brain-go-brr-v2eeg · seizure-detection

    TCN + Bi-Mamba/FLA + GNN + Dynamic LPE for Clinical EEG Seizure Detection

  • This repository contains the trained deep learning models for the detection and prediction of Epileptic seizures.

  • Analyzing_Neural_Time_Serieseeg · signal-processing · time-series

    python implementations of Analyzing Neural Time Series Textbook

  • LowLatencyEEGFilteringeeg · signal-processing · time-series

    Classical and neural network-based real-time filtering algorithms of EEG data

  • electroCUDAeeg · eeg-classification · signal-processing

    Robust electrophysiology tools with GPU acceleration

sources
  1. api.github.com/repos/AITRICS/EEG_real_time_seizure_detection
    retrieved 2026-08-05 · via github-api

    Machine-imported from GitHub search. Last push 2023-01-27, 122 stars, license reported as MIT. Category and schematic were assigned by keyword heuristics and are unreviewed.

Not yet verified by a human. Correct this record →

machine-readable

/v1/entries/19.json→ .entries["eeg-real-time-seizure-detection"]

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