openmedical/registry
← registry

low_density_eeg_asr

imported

software/low-density-eeg-asr

sharing code and data for artifact removal in EEG

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

low_density_eeg_asr project image
GitHub preview card for anthonyesp/low_density_eeg_asr. Served by its origin, not stored here, and not covered by this registry’s licence.
record
Category
Software & Systems
Subcategory
unknown
License
AGPL-3.0(osi)
Status
dormant
Maturity
deployed
Organization
unknown
Country
unknown
Homepage
unknown
Repository
github.com/anthonyesp/low_density_eeg_asr
Documentation
unknown
Tags
artifact-removal · brain-computer-interface · data-acquisition · eeg · sensors · signal-processing · wearable
Regulatory
unknown
built by · 5

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.

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

    Python Brain-Computer Interface Software

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

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

  • sigcleanartifact-removal · eeg · signal-processing

    SigClean is a comprehensive Python library for cleaning and preprocessing biomedical signals including ECG, EMG, EEG, and other physiological signals. It provides a complete toolkit for signal…

  • SSVEPcharacterizationbrain-computer-interface · eeg · wearable

    Data and code for the metrological characterization of a low-cost wearable brain-computer interface

  • DataCollectionSystemeeg · sensors

    Code for a scalable data collection from multiple sensors (IMU, infrared camera, EMG, EEG, GSR, HRM, environmental sensors, eye tracker).

  • T-BEARartifact-removal · eeg

    Detect EEG artifacts, outliers, or anomalies using supervised machine learning.

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

    Machine-imported from GitHub search. Last push 2023-10-20, 7 stars, license reported as AGPL-3.0. Category and schematic were assigned by keyword heuristics and are unreviewed.

Not yet verified by a human. Correct this record →

machine-readable

/v1/entries/17.json→ .entries["low-density-eeg-asr"]

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