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A-Compact-and-Interpretable-Convolutional-Neural-Network-for-Single-Channel-EEG

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software/a-compact-and-interpretable-convolutional-neural-network-for-single-channel-eeg

In this project, we propose a CNN model to classify single-channel EEG for driver drowsiness detection. We use the Class Activation Map (CAM) method for visualization. Results show that the model…

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A-Compact-and-Interpretable-Convolutional-Neural-Network-for-Single-Channel-EEG project image
GitHub preview card for cuijiancorbin/A-Compact-and-Interpretable-Convolutional-Neural-Network-for-Single-Channel-EEG. Served by its origin, not stored here, and not covered by this registry’s licence.
record
Category
Software & Systems
Subcategory
unknown
License
CC0-1.0(cc)
Status
dormant
Maturity
deployed
Organization
unknown
Country
unknown
Homepage
unknown
Repository
github.com/cuijiancorbin/A-Compact-and-Interpretable-Convolutional-Neural-Network-for-Single-Channel-EEG
Documentation
unknown
Tags
cnn-pytorch · eeg · visualization
Regulatory
unknown
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sources
  1. api.github.com/repos/cuijiancorbin/A-Compact-and-Interpretable-Convolutional-Neural-Network-for-Single-Channel-EEG
    retrieved 2026-08-25 · via github-api

    Machine-imported from GitHub search. Last push 2022-03-09, 31 stars, license reported as CC0-1.0. Category and schematic were assigned by keyword heuristics and are unreviewed.

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