eeg_positions

imported

devices/eeg-positions

Compute and plot standard EEG electrode positions.

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

eeg_positions project image — GitHub preview card for sappelhoff/eeg_positions. Served by its origin, not stored here, and not covered by this registry’s licence.

record

Category: Devices & Hardware
Subcategory: unknown
License: MIT(osi)
Status: active
Maturity: deployed
Organization: unknown
Country: unknown
Homepage: eeg-positions.readthedocs.io/en/latest/
Repository: github.com/sappelhoff/eeg_positions
Documentation: unknown
Tags: coordinates · eeg · electrodes · layout · montage · positions · science
Regulatory: unknown

built by · 3

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.

Cartooleeg · electrodes
EEG & MRI processing, Micro-States analysis & Sources localization
diana2montage
DICOM Image Analysis and Archive
Altiumeegeeg
Open-hardware 32-channel EEG/BCI acquisition board — quad TI ADS1299 AFE + ARM Cortex-M3 (ATSAM3U4EA-AU), Altium source, 2015. ARM sibling to Adam-EEG.
bciBasedWheelchaireeg
Brain Control Interface based smart wheelchair. Actions include start, turn left, right, stop with your brain and eye blinks
BioAmp EXG Pilleeg
Small analogue front-end board for acquiring biopotential signals — ECG, EMG, EEG and EOG — from surface electrodes into a microcontroller.
BioAmp-v1.5eeg
Upside Down Lab's Biopotential Amplifier v1.5 - Buy on Tindie at https://bit.ly/BioAmp-v1_5

sources

api.github.com/repos/sappelhoff/eeg_positions
retrieved 2026-08-05 · via github-api
Machine-imported from GitHub search. Last push 2026-07-27, 79 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/61.json→ .entries["eeg-positions"]

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