The Science
Real-time neuro-monitoring technology, implemented to track and improve sleep
Sensing technology
7 data in a single device
Eye movement
EOG
Muscle activity
EMG
Heart rate
PPG
Head motion
IMU
Brain activity
EEG
SpO2
PPG
Breathing rhythm
IMU
All these important bio-data are collected to inform and guide our sleep therapy right on the spot.
Our neuro-data
Indistinguishable from
the sleep tracking gold standards
The combination of 8 sensors Earable's sleep aid device allows you to take advantage of hospitals' sleep monitoring gold standard in the comfort of your own bed
89 % in agreement
The main metric
Sleepiness level
Applying machine learning to neuro-data at 3 different points to determine your current sleepiness level to derive personalized solutions and non-invasive audio and light stimulations
Sleep probability progression
Probability of sleep
We can measure your probability of falling asleep in real-time, after mapping thousands of hours of neuro-data. To determine
If you're ready to go to bed
If the sleep therapy and stimulation are working
If you feel refreshed after waking up
Sleep therapy to help with insomnia
In applying personalized program selection and non-invasive neuro-stimulations, we reduced the time to fall asleep by more than half
Improvement in sleep onset latency
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Personalized sleep solution
Based on real time accurate sleep monitoring
Sleepiness level
Real time therapy
Results
Clinical trials
Tested and proven
1,250 subjects
with sleep onset duration over 30 minutes, tested over 2,100 sleep sessions
86 %
of subjects see significant improvement in sleep onset latency
19 mins
average reduction in time to fall asleep. From 33 minutes to 14 minutes, improved by 58%
Experts behind the science
Healthcare meets AI
Tam Vu - PhD
Oxford University
Robin Deterding, Dr.
Children's Hospital Colorado
Medical and techology partners
Awards
