openmedical/registry
← registry

channel_selection

imported

software/channel-selection

Some studies regarding the selection of optimal channels in a BCI based on motor imagery

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

record
Category
Software & Systems
Subcategory
unknown
License
MIT(osi)
Status
dormant
Maturity
deployed
Organization
unknown
Country
unknown
Homepage
unknown
Documentation
unknown
Tags
brain-computer-interface · channel-selection · eeg · matlab · motor-imagery · signal-processing · wearable
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.

  • low_density_eeg_asrbrain-computer-interface · eeg · signal-processing · wearable

    sharing code and data for artifact removal in EEG

  • aawedhabrain-computer-interface · eeg · motor-imagery

    Deep Learning toolbox for EEG based Brain-Computer Interface signals decoding and benchmarking

  • NeuroXAIchannel-selection · eeg

    [ESWA] NeuroXAI: Adaptive, Robust, Explainable Surrogate Framework for Determination of Channel Importance in EEG Application

  • EEG-ATCNeteeg · motor-imagery

    Attention temporal convolutional network for EEG-based motor imagery classification

  • eeg-rseneteeg · motor-imagery

    Motor Imagery EEG Signal Classification Using Random Subspace Ensemble Network

  • BciPybrain-computer-interface · eeg · signal-processing

    Python Brain-Computer Interface Software

sources
  1. api.github.com/repos/anthonyesp/channel_selection
    retrieved 2026-08-05 · via github-api

    Machine-imported from GitHub search. Last push 2023-11-13, 12 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/31.json→ .entries["channel-selection"]

Entries are sharded 64 ways by a stable hash of the id, so a consumer can find any record without an index.