University of Colorado Boulder
CAREER Award
Smart earphone to improve cognitive functions.
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The world's first and most advanced in-ear sleep improvement system.
Earable™ simultaneously detects brain activity (EEG), eye movements( EOG),
and facial movements (EMG) to fit the perfect sleep improvement method to your unique sleep cycles.
Earable™ is an earbud packed with biosensors for convenient health quantification. It is much more convenient than current devices used in hospitals because it has the smallest form factor given its accuracy and sensing capability. Unlike other wearables, Earable™ has more sensors, is located on the head, and uses proprietary machine learning algorithms for higher accuracy of bioelectric analysis.
An ear biosignal represents a mixture of electrical activities of the human brain, eyes, and facial muscles. A particular single-channel signal separation model is developed to decompose this mixed signal based on the physiologic and electrical properties of the signals of interest.
EEG, including beta, alpha, theta, and delta wave, is essential for interpreting various sleep/wake stages of the brain.
EOG is necessary for differentiating REM stage from the other stages and even from wakefulness itself.
EMG is requisite to distinguish the REM state from others due to its sudden loss of muscle tone vs. high muscle activity respectively.
A machine learning algorithm is applied to score every 30-seconds epoch of sleep data into an appropriate sleep stage using a set of discriminative features extracted from the separated brain, eye, and muscle signals.
Stay Updated with the latest in Earable's EEG, EOG, & EMG Quantification for Sleep Improvement
University of Colorado Boulder
Smart earphone to improve cognitive functions.
Read Article
