Choose SMARTING mobi to bring convenience and simplicity to your research experiments and join the league of pioneers in mobile EEG.
Small light-weight EEG device for high quality recordings with accompanying mobile app for real-time brain activity monitoring, out of the lab, in real life.
Whether paired with a PC or smartphone, SMARTING mobi provides superior data quality and high time-precision.
SMARTING mobi is small, simple and mobile EEG device, with no need for any additional equipment, which makes it a powerful research tool that records EEG on the go:
Psychology studies
Sport studies
Drowsiness/fatigue studies
Serious gaming/VR studies
SMARTING mobi supports synchronization with other sensors and simultaneous multi-amplifier streaming via labstreaming layer, so it can be used for cognitive group studies:
In musical groups
Among quiz players
For sport psychology
Interaction in multiplayer games
SMARTING mobi is wearable device that features motion sensors, which means that you can detect body and head movements. It makes our device perfectly suitable for:
Pairing behavioural & cognitive metrics
Health and safety at work research
Complementing neurological image
Brain recordings in sport studies
81x52x12mm
Light and Compact
0-133Hz flat frequency response High Signal quality
Customizable and Comfortable
For recording head motion
Wireless recordings
Long battery life
Smarting
Smarting
Channel Type / Reference
referential channels / recording with one electrode
Input impedance
1 GΩ
Input Referred Noise
<1 µV
Input Range
(-100)mV – 100 mV
CMMR
> 140 dB*
Gain
24
Gyroscope
3D Built-in
*measured at 50Hz common mode
Electrode Connectors
IDC
Standard
Motor
Physical box size
82x51x12 mm
Weight
<60 grams
Sampling frequency
250 or 500 Hz
Sampling
Parallel sampling
Resolution
24-bits
Bandwidth
0-250 Hz
Flat Frequency Response
Anti-aliasing Filter
Yes
Active Ground
Yes
Wireless Communications
Bluetooth range v2.1 + EDR
Bluetooth range
~10 meters
Power Supply
USB Type-C
Battery Type
Internal
Operation time
~ 5 hours
81x52x12mm
Light and Compact
0-133Hz flat frequency response High Signal quality
Customizable and Comfortable
For recording head motion
Wireless recordings
Long battery life
SMARTING mobi is integrated with the eSense Skin Response and Temperature sensors. This allows synchronous recording of the EEG data, Galvanic Skin Response (GSR) and body temperature solely on the smartphone, which allows full mobility of the subjects.
SMARTING mobi is integrated with the Mangold DataView and Interact software, which allows synchroneous recording of the EEG and video data. Mangold International is a world class leader in observational lab systems for behavioral research.
One and only solution for reliable ERP experiments on a smartphone that enables recording the ERPs in free environment. SMARTING mobi and Neurobs Presentation software enable wireless stimulus triggering protocol, both on smartphone and/ or PC.
Pupil labs is an open source platform for eye tracking and egocentric vision research. SMARTING mobi and Pupil labs eye tracker can synchronously record the data using smartphone, which allows full mobility for both neuromaketing and neuroergonomics research.
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Kwak N. , Lee S. Error Correction Regression Framework for Enhancing the Decoding Accuracies of Ear-EEG Brain-Computer Interfaces, IEEE Transactions on Cybernetics.
Nogueira W. , Dolhopiatenko H. , Schierholz I. , Büchner A. , Mirkovic B. , Bleichner M.G. , Debener S. Decoding Selective Attention in Normal Hearing Listeners and Bilateral Cochlear Implant Users With Concealed Ear EEG, Frontiers in Neuroscience, 13:720, 2019.
Blum S. , Jacobsen N. , Bleichner M.G. , Debener S. A Riemannian Modification of Artifact Subspace Reconstruction for EEG Artifact Handling, Frontiers in Human Neuroscience, 13:141, 2019.
Mirković B. , Debener S. , Schmidt J. , Jaegera M. , Neher T. Effects of directional sound processing and listener’s motivation on EEG responses to continuous noisy speech: Do normal-hearing and aided hearing-impaired listeners differ?, Hearing Research, 2019.
Piñeyro Salvidegoitia M. , Jacobsen N. , Bauer A-KR. , Griffiths B. , Hanslmayr S. , Debener S. Out and about: Subsequent memory effect captured in a natural outdoor environment with smartphone EEG, Psychophysiology, 2019;e13331.
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, Hearing Research, 2019.
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.
Bridwell D. A. , Henderson S. , Sorge M. , Plis S. , Calhoun V.D. , Relationships between alpha oscillations during speech preparation and the listener N400 ERP to the produced speech, Scientific Reports, 2018 ; 12838.
Cao L. , Haendel B. , Increased influence of periphery on central visual processing in humans during walking, preprint
Denk F. , Grzybowski M. , Ernst S. M. A. , Kollmeier B. , Debener S. , Bleichner M. G. Event-Related Potentials Measured From In and Around the Ear Electrodes Integrated in a Live Hearing Device for Monitoring Sound Perception, Trends in Hearing, Volume 22 (2018).
Zamm A. , Debener S. , Bauer A. R., Bleichner M. G. , Alexander P. Demos A. P. , Palmer C. Amplitude envelope correlations measure synchronous cortical oscillations in performing musicians, Annals of the New York Academy of Sciences, 2018.
Woestmann M. , Waschke P. , Obleser J. Prestimulus neural alpha power predicts confidence in discriminating indentical auditory stimuli, Eur J Neurosci, 2019;49:9-105.
Mijović P. , Milovanović M. , Ković V. , Mijović B. , Gligorijević I. , Minović M. , Mačužić I. Communicating the user state: Introducing cognition-aware computing in industrial settings, Safety Science, 2018.
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Zich C. , Harty S. , Kranczioch C. , Mansfield L. K. , Sella F. , Debener S. , Kadosh C. R. Modulating hemispheric lateralization by brain stimulation yields gain in mental and physical activity, Scientific Reports, 2017; 7:13430.
Zamm A. , Palmera C. , Bauerb A. R. , Bleichner M. G. , Demosa A. P. , Debener S. Synchronizing MIDI and wireless EEG measurements during natural piano performance, Brain Research (2017).
Zich C. , Debener S. , Schweinitz C. , Sterr A. , Meekes J. and Kranczioch C. High-Intensity Chronic Stroke Motor Imagery Neurofeedback Training at Home: Three Case Reports, Clinical EEG and Neuroscience, 2017; 1-10.
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Bridwell D. A. , Leslie E. , McCoy D. , Plis S. M. and Calhoun V.D. Cortical sensitivity to guitar note patterns: EEG entrainment to repetition and key, Frontiers in human neuroscience, 2017; 11:90.
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Waschke P. , Woestmann M. , Obleser J. Neural noise in the age-varying human brain predicts perceptual decisions, preprint
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