Human Mind / Devices

Supported EEG Devices

The SDK includes built-in presets for popular consumer and research EEG devices. Any device that exports to a supported format (EEGLAB, EDF, BrainVision, CSV) will also work.

Muse 2 / Muse S

4 channels · 256 Hz · preset: "muse"

Consumer-grade. Good for meditation and basic research.

OpenBCI Cyton

8–16 channels · 250 Hz · preset: "openbci_cyton"

Open-source hardware. Flexible channel configurations.

Emotiv EPOC X

14 channels · 256 Hz · preset: "emotiv_epoc"

Consumer-research bridge. Good spatial coverage.

Neurosity Crown

8 channels · 256 Hz · preset: "neurosity"

Developer-focused. Built-in SDK.

g.tec Unicorn

8 channels · 250 Hz · preset: "gtec_unicorn"

Research-grade hybrid. High signal quality.

Using a device preset

recording = eeg.load("session.csv", device="muse", sfreq=256)
recording.preprocess(bandpass=(1.0, 40.0), notch=60.0)
epochs = recording.extract_epochs(duration=2.0)
profile = eeg.score(epochs, task="meditation")

Research-grade systems

Any research-grade EEG system (BioSemi, BrainProducts, EGI, ANT Neuro, etc.) is supported through the standard file formats. The SDK uses MNE-Python as its backend, so any format MNE can read will work with AIME LOC.