EASE, COMFORT, RELIABILITY
SMARTING
SLEEP
Multimodal ExG recordings provide a smart choice for sleep studies. Collect all relevant physiological data while your subjects are sound asleep.
Wireless streaming
High signal quality
Long battery life
FULLY WIRELESS
SLEEP EEG
Small portable EEG amplifier streams high quality EEG data wirelessly to a nearby tablet, while providing high comfort during all night recording.
WHY SMARTING SLEEP?
Comfort
SMARTING SLEEP is specially designed to provide full comfort to the study participants while they dream.
The small amplifier is positioned on the shoulder belt so it does not disturb a regular sleeping position of the participants, thus making no artefacts in the real-time recorded physiological signals.
ALL NIGHT RECORDING
SMARTING SLEEP is equipped with the 2000mAh Li-polymer battery for continuous wireless streaming of 15 hours of EEG data.
It is designed following the standards of the American Academy of Sleep Medicine (AASM) – United States professional society for the medical subspecialty of sleep medicine.
MULTIMODAL ExG
SMARTING SLEEP is equipped with additional ExG electrodes in order to capture all the signals necessary for sleep studies.
The system consists of 17 EEG channels, 2 mastoid positions, 3 EMG channels and 2 EOG channels. All the recorded data are well sync and recorded in a single file, ready for further analysis.
KEY FEATURES
Multimodal ExG
EEG, EMG, EOG, ECG
250-500Hz sampling
0-133Hz flat frequency response High Signal quality
24ch
Recording cap
Customizable and Comfortable
9D built-in motion sensor
For recording head motion
Bluetooth 10m range
Wireless recordings
15 hours of battery life
All night recordings
REFFERENCE WORK
Phan H. , Chén Y.O. , Koch P. , Lu Z. , McLoughlin I. , Mertins A. , De Vos M. Towards More Accurate Automatic Sleep Staging via Deep Transfer Learning, arXiv:1907.13177.
Sterr A. , Ebajemito J. K. , Mikkelsen K. B. , Bonmati-Carrion M. A. , Santhi N. , della Monica C. , Grainger L. , Atzori G. , Revell V. , Debener S. , Dijk D. , DeVos M. Sleep EEG Derived From Behind-the-Ear Electrodes (cEEGrid) Compared to Standard Polysomnography: A Proof of Concept Study, Frontiers in Human Neuroscience, 2018; 12:452.
Mikkelsen K. B. , Ebajemito J. K. , Bonmati-Carrion M. A. , Santhi N. , Revell V. L. , Atzori G. , Monica C. , Debener S. , Dijk D. , Sterr A. , De Vos M. Machine-learning-derived sleep-wake staging from around-the-ear electroencephalogram outperforms manual scoring and actigraphy, J Sleep Res. , 2018; e12786..
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