Extend Podcast with Darshan Shah, MD 151. Ramses Alcaide: Brain Wearables, EEG, and the Future of Brain Health Tracking
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Mar 31, 2026 Ramses Alcaide, neurotechnology entrepreneur and CEO of Neurable with a PhD in Electrical Engineering and Neuroscience, explains how noninvasive EEG sensors in everyday wearables can track brain age, focus, stress, and recovery. He discusses AI upscaling of weak signals, continuous monitoring vs one-time tests, biofeedback training through gaming and apps, and early detection of neurodegeneration and brain injury.
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AI Upscales Ear EEG Into Whole Brain Signals
- Neurable uses AI to turn noisy ear-area EEG into usable brain signals by isolating weak signals and mathematically upscaling them.
- They record from around the ear and infer activity elsewhere using noise-isolation plus up-resolution algorithms trained on large datasets.
Continuous EEG Solves The Snapshot Problem
- Continuous wearable EEG solves the "snapshot problem" by providing days-to-years of brain data instead of one-off lab tests.
- Neurable's headphones collect one to three hours a day, enabling longitudinal trends and early detection of decline.
Monitor Brain Age And Act On Trends
- Track brain age regularly and act on accelerating trends as an early warning for neurodegeneration.
- Neurable provides a consumer brain-age metric and compares users to datasets that include MRI and blood biomarkers for clinical context.