Your local-first desktop biosensing platform for the Muse S Athena (MS-03) headband.
Stream raw 256 Hz EEG, monitor real-time contact impedance, export clinical EDF+ recordings, and eliminate cloud lock-in.

Most consumer neurotechnology software forces researchers, clinicians, and engineers into walled gardens. Official mobile applications lock raw data behind subscription paywalls, discard high-resolution telemetry, or restrict data export to high-level "meditation scores."

Legacy community tools like BlueMuse are Windows-only and require external BLED112 USB dongles. Python scripting workarounds often suffer from Bluetooth connection drops, broken timestamp jitter, and undocumented firmware changes on the new Muse S Athena (MS-03) model.

MindVault solves this. Built with a native Local-First Architecture, MindVault connects directly to the Muse S Athena headband over your computer's built-in Bluetooth (Windows, macOS, and Linux). It delivers an instant, zero-latency 256 Hz electroencephalography visualizer, continuous impedance monitoring, and standard EDF+ / CSV exports for MNE-Python and EEGLAB. No phone app, no dongle, and no cloud upload required.

MindVault Desktop Interface: Live 256 Hz 4-channel raw EEG, real-time contact quality rings, and spectral decomposition.

Compatible Hardware: InteraXon Muse S Athena (Model MS-03) soft fabric headband with multi-sensor EEG (256 Hz) and optical fNIRS / PPG telemetry.

MindVault Real-Time Electrode Placement: Live contact quality percentage and signal amplitude for TP9, AF7, AF8, and TP10.

• EEG Montage (10-20 Standard):
  • TP9: Left temporoparietal (mastoid reference area behind ear)
  • AF7: Left anterior frontal (forehead)
  • AF8: Right anterior frontal (forehead)
  • TP10: Right temporoparietal (behind right ear)
  • Reference: FPz (center forehead active ground)
• Frontal Optical Clusters:
  • LO (Left Outer), LI (Left Inner), RI (Right Inner), RO (Right Outer)
  • Multi-wavelength optical paths: 730 nm (Near-IR), 850 nm (IR), 660 nm (Red), and Ambient.

• BCI & Neurotech Engineers: Build neural interfaces and brain-computer interaction loops with predictable, low-latency raw streams.
• Cognitive Neuroscience Researchers: Collect reproducible ERP (P300, N170) data without expensive clinical EEG cart setups.
• Sleep & Circadian Trackers: Record overnight frontal EEG sessions directly to EDF+ files for automated sleep staging and spindle analysis.
• Biohackers & Neurofeedback Practitioners: Monitor real-time alpha/theta ratios, frontal asymmetry, and focus states with local-first privacy.
• Students & Educators: Run psychology and neuroscience laboratory demonstrations on any student laptop.
• Open-Source Enthusiasts: Inspect every bit of data unpacking logic, packet layouts, and calibration constants.

1. Download MindVault Desktop: Get the installer from usemindvault.com.
2. Turn on your Muse S Athena: Press the power button once until the LED indicators light up.
3. Connect in One Click: Open MindVault, select your device from the BLE list, and watch the live EEG stream initialize.
4. Check Electrode Fit: Adjust the headband until all 4 electrode indicators (TP9, AF7, AF8, TP10) turn green.
5. Record Session: Hit Record to log data to CSV or export directly to .edf for MNE-Python analysis.

Yes. MindVault connects directly to the Muse S Athena headband over your computer's built-in Bluetooth adapter using native OS Bluetooth APIs. No mobile phone intermediary, no BlueMuse, and no BLED112 USB dongle is required.

Muse S Athena streams 4 EEG channels (TP9, AF7, AF8, TP10) at 256 Hz. The EEG samples are packed using 14 bits per sample with a scale factor of 1450.0 / 16383.0 µV/LSB (~0.0885 µV per LSB). (Note: A common misconception states that Athena EEG is 20-bit; our cross-validation demonstrates that 20-bit packing belongs to the 64 Hz optical PPG/fNIRS stream, while EEG remains 14-bit).

MindVault exports standard EDF+ files with calibrated microvolt physical dimensions and standard 10-20 channel names (TP9, AF7, AF8, TP10). In Python, you can load them in one line:

import mne
raw = mne.io.read_raw_edf("session_2026-09-14.edf", preload=True)
print(raw.info)

Event marker injection, low-latency Lab Streaming Layer (LSL) outlets, and OSC streaming are currently being finalized as part of the upcoming MindVault Lab release. If your research lab requires early access to stimulus-locking APIs, please register interest for Lab.

If you use MindVault recordings, protocol specifications, or open-source tooling in peer-reviewed research, please cite our project:

@software{mindvault2026,
  author = {The MindVault Project Contributors},
  title = {MindVault: Local-First Biosensing Platform and Protocol Specification for Muse S Athena (MS-03)},
  url = {https://usemindvault.com},
  year = {2026}
}

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_{Maintained with precision by the MindVault Team • Local-First Biosensing Platform}