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BrainWaves
BrainWaves contient 4 skills collectées depuis makebrainwaves, avec une couverture métier par dépôt et des pages de détail sur le site.
Skills dans ce dépôt
Mental model for BrainWaves' Electron process separation and how data crosses the main/preload/renderer boundary. Read this BEFORE touching anything that spans processes — IPC, the preload bridge, native modules (liblsl/koffi), Bluetooth, filesystem writes, or "why can't the renderer just call X". Pair with electron-ipc-channel when actually adding/editing a channel.
Step-by-step procedure for adding, editing, or removing an Electron IPC channel in BrainWaves without leaving it half-wired. Use whenever the renderer needs something only the main process can do (filesystem, dialogs, native/LSL, Bluetooth) or main needs to push events to the renderer. Covers the four files that must stay in sync and how to pick invoke vs send vs webContents.send. Read electron-ipc-architecture first for the mental model.
How BrainWaves runs MNE-Python analysis in-browser via Pyodide (WASM) inside a web worker. Use when adding/changing analysis, adding a Python package, debugging Pyodide load failures (esp. prod-only), routing plots back to the UI, or anything touching src/renderer/utils/webworker or InstallMNE.mjs. Covers the JS↔worker↔Python message protocol, plot routing, package install, and the pyodide:// protocol.
How EEG epochs and markers flow through BrainWaves' redux-observable (RxJS epic) pipeline — from live device samples, through marker injection, to MNE epoching for ERPs. Use when adding/debugging an epic, touching the raw/signal observables, marker injection, the marker registry, or "why are my epochs empty / markers all zero / ERP has no events". Explains the epic anatomy and the numeric-code contract that links collection to analysis.