AI trying to Diagnose Depression from Brain Waves

Posted by Peter Rudin on 13. November 2020 in News

An estimated 17.3 million adults in the U.S. have had at least one major depressive episode, according to the U.S. National Institutes of Health. But with 1,000 possible symptom combinations, depression manifests differently in different people. Today’s assessments mostly rely on conversations with clinicians or surveys.

X, Alphabet’s experimental R&D lab, recently detailed Project Amber, which aimed to make brain waves as easy to interpret as blood glucose. The Amber team sought to marry machine learning techniques with electroencephalography (EEG) to measure telling electrical activity in the brain.

It took three years for the Amber team to create a low-cost, portable, research-grade system designed to make it easier to collect EEG data.

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