Muse Will Launch Brain Age Tracking Feature

The new feature calculates a weekly brain-age gap using EEG sensors and cognitive performance testing.

Updated on Oct. 14, 2026 in Alzheimer’s

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Muse is launching a new consumer feature that estimates 'brain age' using EEG data and cognitive tests to track long-term health. AI Illustration. Upload story photo >

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Starting October 19, 2026, Muse will begin rolling out a consumer feature called Muse Brain Age that estimates a user's brain age. The tool, which is expected to reach all users by October 26, 2026, uses EEG sensor data to provide weekly updates on cognitive function.

Why it matters

The technology is designed to help users track changes in their cognitive health over time through frequent updates. This approach aims to offer a more consistent look at brain metrics than the periodic snapshots typically provided by MRI scans.

The Muse Brain Age model utilizes 300 million parameters to achieve a 47% error reduction compared to the 2024 EEG model. The tool currently exhibits an average mean absolute error of 3.8 years in its estimates.

The players

Muse

This Toronto-based technology company specializes in wearable EEG devices and has shipped over 500,000 units since its inception.

The details

Muse Brain Age functions by integrating daytime EEG sessions, which record brain rhythms like alpha waves, with four cognitive tests measuring impulse control, spatial memory, selective attention, and processing speed. The system builds upon over one billion minutes of EEG data recorded by the company since 2014.

Timeline

  1. Muse began recording at-home EEG data in 2014.

  2. Muse researchers studied the viability of at-home EEG estimation in 2024.

  3. The rollout of Muse Brain Age to users begins October 19, 2026.

  4. The feature will be available to all users by October 26, 2026.

Health Landscape

The Muse Brain Age feature is derived from research published in Imaging Neuroscience, marking a move from clinical settings to at-home monitoring. This shift follows a broader trend in digital health, where wearable technology aims to provide frequent, actionable data on long-term cognitive trends.

Users can access the new feature through existing devices like the Muse 2 or Muse S Athena. The tool offers a way to incorporate cognitive tracking into daily health routines rather than relying solely on clinical appointments.

The takeaway

Frequent cognitive tracking may help individuals identify shifts in brain health patterns over time. Users should consult with medical professionals to interpret these metrics in the context of their overall health.

Further reading

For more on monitoring cognitive changes, visit the Alzheimer’s section.

More information

Learn more on the Muse Brain Age information page.

Live Poll

Do you trust home-based health tracking tools to accurately measure your long-term cognitive health?