A portable EEG device for high-quality recordings, and a mobile app for monitoring brain activity in real-time, outside the lab. Whether paired with a PC or a smartphone, SMARTING mobi provides superior data quality with an excellent time precision.
SMARTING mobi is a portable, simple, and mobile EEG device. Hence, it does not need additional equipment, making it a powerful research tool for recording EEG on the go in any of the following studies:
Psychology
Sport
Drowsiness/Fatigue
Serious gaming/VR
SMARTING mobi supports synchronization with other sensors and simultaneous multi-amplifier streaming via a lab streaming layer, making it useful for cognitive group studies, including:
Musical groups
Quiz players
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 for a high-quality signal
Customizable and Comfortable
for recording Head motion
Wireless recordings
Vibrant battery life
Smarting mobi
Number of channels
24
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 for a high-quality signal
Customizable and Comfortable
Wireless recordings
Vibrant battery life
SMARTING mobi incorporates eSense Skin Response and Temperature sensors. Hence, it allows synchronous EEG data recording, Galvanic Skin Response (GSR), and body temperature monitoring solely on a smartphone - allows full mobility of the subjects.
SMARTING mobi is integrated with the Mangold DataView and Interact software, which allows synchronous recording of EEG and video data. Mangold International is the leading observational lab system for behavioral research.
Provides a solution for reliable ERP experiments on smartphones as it can record the ERPs in a free environment. SMARTING mobi and Neurobs Presentation software enable wireless stimulus triggering protocol on smartphones and 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 data using smartphones, allowing full mobility for both neuromarketing and neuroergonomics research.
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Fjaellingsdal T.G. , Schwenke D. , Ruigendijk E. , Scherbaum S. , Bleichner M.G. Studying brain activity during word-by-word interactions using wireless EEG, PLoS ONE 15(3): e0230280.
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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.
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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.
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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.
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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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Braun N. , Kranczioch C. , Liepert J. , Dettmers C. , Zich C. , Büsching I. , Debener S. Motor imagery impairment in post-acute stroke patients, Neural Plasticity, Volume 2017 (2017).
Waschke P. , Woestmann M. , Obleser J. Neural noise in the age-varying human brain predicts perceptual decisions, preprint
Goregliad Fjaellingsdal T. , Ruigendijk E. , Scherbaum S. , Bleichner M. G. The N400 Effect during Speaker-Switch—Towards a Conversational Approach of Measuring Neural Correlates of Language, Frontiers in Psychology, 2016; 7:1854.
Bleichner M. G. , Mirković B. , Debener S. Identifying auditory attention with ear-EEG: cEEGrid versus high-density cap-EEG comparison, Journal of Neural Engineering, 13.6 (2016): 066004.
Zink R. , et al. Mobile EEG on the bike: disentangling attentional and physical contributions to auditory attention tasks., Journal of Neural Engineering 13.4 (2016): 046017.
Mijović P. , Ković V. , De Vos M. , Mačužić I. , Jeremić B. and Gligorijević I. Benefits of Instructed Responding in Manual Assembly Tasks: An ERP Approach., Frontiers in human neuroscience 10 (2016).
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Mijović P. , Ković V. , De Vos M. , Mačužić I. , Todorović P. , Jeremić B. and Gligorijević I. Towards continuous and real-time attention monitoring at work: reaction time versus brain response. Ergonomics (2016): 1-14.
