SIMPLE, RELIABLE, MOBILE

SMARTING
mobi

Choose SMARTING mobi to bring convenience and simplicity to your research experiments and join the league of pioneers in mobile EEG.

High signal
quality

Submillisecond time precision

Easy to use
mobile app

0%

    FULLY 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.

    WHY SMARTING MOBI?

    Lightweight

    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

    SYNCHRONIZED

    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

    MULTIMODAL

    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

    KEY FEATURES

    Lighter
    than 60g

    81x52x12mm
    Light and Compact

    250-500Hz sampling

    0-133Hz flat frequency response High Signal quality

    24ch
    Recording cap

    Customizable and Comfortable

    3D built-in gyroscope

    For recording head motion

    Bluetooth
    10m range

    Wireless recordings

    Up to 5 hours recordings

    Long battery life

    General characteristics

    Name

    Smarting

    Name

    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

    Connectors

    Electrode Connectors

    IDC

    EEG Cap Layouts

    Standard

    Motor

    Dimensions

    Physical box size

    82x51x12 mm

    Weight

    <60 grams

    AD conversion

    Sampling frequency

    250 or 500 Hz

    Sampling

    Parallel sampling

    Resolution

    24-bits

    Bandwidth

    0-250 Hz

    Flat Frequency Response

    0-133 Hz
    (3dB attenuation at 133Hz), true DC performance

    Anti-aliasing Filter

    Yes

    Active Ground

    Yes

    Communication type

    Wireless Communications

    Bluetooth range v2.1 + EDR

    Bluetooth range

    ~10 meters

    Power

    Power Supply

    USB Type-C

    Battery Type

    Internal

    Operation time

    ~ 5 hours

    KEY FEATURES

    Lighter
    than 60g

    81x52x12mm
    Light and Compact

    250-500Hz sampling

    0-133Hz flat frequency response High Signal quality

    24ch
    Recording cap

    Customizable and Comfortable

    3D built-in gyroscope

    For recording head motion

    Bluetooth
    10m range

    Wireless recordings

    Up to 5 hours recordings

    Long battery life

    HOW IT WORKS

    CONNECTED SOLUTIONS

    EasyCap

    EasyCap is the official partner of mBrainTrain LLC, providing the EEG caps with standardized or custom electrode layout configuration. The caps are based on the Ag/AgCl sintered ring electrodes and they are comfortable for the long term EEG recordings.

    Mindfield biosystems

    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.

    Mangold

    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.

    Neurobs Presentation

    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

    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.

    Openvibe

    SMARTING mobi device is supported by OpenViBE. OpenViBE is an open source platform for the brain computer interface (BCI) and real-time neurofeedback experiments. OpenViBE supports both Windows and Linux OS.

    What's
    in the Box?

    • SMARTING mobi
    • Mobile phone
    • EEG cap
    • Smarting Streamer
    • Bluetooth dongle
    • Charger

    REFERENCE WORK

    Jakovljević, T. , Janković, M.M. , Savić, A.M. , Soldatović, I. , Todorović, P. , Jere Jakulin, T. , Papa, G. , Ković, V. The Sensor Hub for Detecting the Developmental Characteristics in Reading in Children on a White vs. Colored Background/Colored Overlays, Sensors 2021, 21, 406.
     
    Nann M. , Haslacher D. , Colucci A. , Eskofier B. , Tscharner V. ,Soekadar S. R. Heart rate variability predicts decline in sensorimotor rhythm control, bioRxiv 2021.01.08.424840.

    Lee Y. , Kwak S. , Lee S. A Real-Time Movement Artifact Removal Method for Ambulatory Brain-Computer Interfaces, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

    Balasubramani P. , Ojeda A. , Grennan G. , Maric V. , Le H. , Alim F. , Khan M. , Diaz-Delgado J. , Silveira S. , Ramanathan D. , Mishra J. Mapping Cognitive Brain Functions at Scale, preprint

    Topalović I. , Dedijer Dujović S. , Konstantinović Lj. , Popović D. Surface EMG for the Assessment of the Gait Performance in Hemiplegic Patients, IEEE.

    Hölle D. , Meekes J. , Bleichner M. G. Mobile ear-EEG to study auditory attention in everyday life, preprint

    Jacobsen N. , Blum S. , Witt K. , Debener S. A walk in the park? Characterizing gait‐related artifacts in mobile EEG recordings, European Journal of Neuroscience, 2020.

    Bleichner, M.G. , Emkes, R.Building an Ear-EEG System by Hacking a Commercial Neck Speaker and a Commercial EEG Amplifier to Record Brain Activity Beyond the Lab, Journal of Open Hardware, 4(1), p.5.

    Hölle D. , Meekes J. , Bleichner M. G. Mobile ear-EEG to study auditory attention in everyday life, preprint

    Winneke H. A. , Schulte M. , Vormann M. , Matthias Latzel M. Effect of Directional Microphone Technology in Hearing Aids on Neural Correlates of Listening and Memory Effort: An Electroencephalographic Study , Volume 24 (2020)

    Jakovljević T. , Janković M. , Savić A. , Soldatović I. , Todorović P. , Jakulin T. J. , Papa G. , Ković V. The sensor hub for detecting the developmental characteristics in reading in children on a white vs. coloured background/coloured overlays, preprint

    Lee Y. , Lee M. , Lee S. Reconstructing ERP Signals Using Generative Adversarial Networks for Mobile Brain-Machine Interface, arXiv:2005.08430v1.

    Kalafatovich J. , Lee M. , Lee S. Prediction of Memory Retrieval Performance Using Ear-EEG Signals, arXiv:2005.01329v3

    Daeglau M. , Wallhoff F. , Debener S. , Condro I.S. , Kranczioch C. , Zich C. Challenge Accepted? Individual Performance Gains for Motor Imagery Practice with Humanoid Robotic EEG Neurofeedback, Sensors 2020, 20(6), 1620.

    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.

    Lee Y. , Lee M. Decoding Visual Responses based on Deep Neural Networks with Ear-EEG Signals, arXiv:2002.01085.

    Spychala N. , Debener S. , Bongartz E. , Möller HHO. , Thorne JD. , Philipsen A Braun N. Exploring Self-Paced Embodiable Neurofeedback for Post-stroke Motor Rehabilitation, Front. Hum. Neurosci. 13:461.

    Topalović I. , Graovac S. , Popović D. B. EMG map image processing for recognition of fingers movement, Journal of Electromyography and Kinesiology, Volume 49, December 2019, 102364.

    Farmaki C. , Sakkalis V. , Loesche F. , Nisiforou E. A. Assessing Field Dependence-Independence Cognitive Abilities Through EEG-Based Bistable Perception Processing, Front. Hum. Neurosci. 13:345.

    Cretot-Richert G. , De Vos M. , Debener S. , Emkes R. , Voix J. Assessing concentration levels through ear-EEG: a comparative study between conventional and mobile EEG systems, Frontiers.

    Cao L. , Händel B. Walking enhances peripheral visual processing in humans, PLoS Biol 17(10): e3000511.

    Phan Petrini F. M. , Valle G. , Bumbasirevic M. Barberi F. , Bortolotti D. , Čvančara P. , Hiairrassary A. , Mijović P. , Sverrisson A. O. , Pedrocchi A. , Divoux J. , Popović I. , Lechler K. , Mijović B. , Guiraud D. , Stieglitz T. , Alexandersson A. , Micera S. , Lešić A. , Raspopović S. Enhancing functional abilities and cognitive integration of the lower limb prosthesis, Science Translational Medicine, Vol. 11, Issue 512.

    Phan Petrini F. M. , Bumbasirevic M. , Valle G. , Ilic V. , Mijović P. , Čvančara P. , Barberi F. , Katic N. , Bortolotti D. , Andreu D. , Lechler K. , Lesic A. , Mazic S. , Mijović B. , Guiraud D. , Stieglitz T. , Alexandersson A. , Micera S. , Raspopovic S. Sensory feedback restoration in leg amputees improves walking speed, metabolic cost and phantom pain, Nature Medicine 25, 1356-1363 (2019).

    Hendrikse M. M. E. , Llorach G. , Hohmann V. , Grimm G. Movement and Gaze Behavior in Virtual Audiovisual Listening Environments Resembling Everyday Life, Trends in Hearing, Volume 23 (2019).

    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.

    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.

    Waschke L. , Wöstmann M. , Obleser J. States and traits of neural irregularity in the age-varying human brain, Scientific Reports, 2017; 17381.

    Zink R. , Proesmans S. , Bertrand A. , Van Huffel S. , De Vos M. Online detection of auditory attention with mobile EEG: closing the loop with neurofeedback, preprint

    Blum S. , Debener S. , Emkes R. , Volkening N. , Fudickar S. , Bleichner M. G. EEG recording and online signal processing on Android: A multi-app framework for brain-computer interfaces on smartphone, BioMed Research International, 2017.

    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.

    Bleichner M. G. , Debener S. Concealed, unobtrusive ear-centered EEG acquisition: cEEGrids for transparent EEG, Frontiers in human neuroscience, 2017; 11:163.

    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.

    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).

    Mirković B. , Bleichner M. G. , De Vos M. , Debener S. Target Speaker Detection with Concealed EEG around the Ear
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    Popović M. L. , et al. Stimulation map for control of functional grasp based on multi-channel EMG recordings.
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    Debener S. , Emkes R. , De Vos M. , Bleichner M. G. Unobtrusive ambulatory EEG using a smartphone and flexible printed electrodes around the ear., Scientific reports, 5, 2015.

    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.

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