SIMPLE. RELIABLE. MOBILE.

SMARTING
mobi

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

High signal
quality

Submillisecond time precision

Easy-to-use
mobile app

FULLY MOBILE EEG

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.

WHY SMARTING MOBI?

Lightweight

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

SYNCHRONIZED

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

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

Weighs less
than 60g

81x52x12mm
Light and Compact

250-500Hz sampling

0-133Hz flat frequency response for a high-quality signal

24ch
Recording cap

Customizable and Comfortable

3D built-in Gyroscope

for recording Head motion

10m Bluetooth
range

Wireless recordings

Up to 5 hours recordings

Vibrant battery life

General characteristics

Name

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

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

Weighs less
than 60g

81x52x12mm
Light and Compact

250-500Hz sampling

0-133Hz flat frequency response for a high-quality signal

24ch
Recording cap

Customizable and Comfortable

3D built-in gyroscope for recording Head motion

10m Bluetooth range

Wireless recordings

Up to 5 hours recordings

Vibrant battery life

HOW IT WORKS

CONNECTED SOLUTIONS

EasyCap

EasyCap, the official partner of mBrainTrain LLC, provides EEG caps with standardized or custom electrode layout configuration. The caps are built on Ag/AgCl sintered ring electrodes and are perfect for long-term EEG recordings.

Mindfield biosystems

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.

Mangold

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.

Neurobs Presentation

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

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.

Openvibe

SMARTING mobi device is supported by OpenViBE, 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

Tagliazucchi E, Zamberlan F, Cavanna F, de la Fuente L, Romero C, Sanz Perl Y and Pallavicini C (2021) Baseline Power of Theta Oscillations Predicts Mystical-Type Experiences Induced by DMT in a Natural Setting. Front. Psychiatry 12:720066. doi: 10.3389/fpsyt.2021.720066
 
Zamm A, Palmer C, Bauer A-KR, Bleichner MG, Demos AP and Debener S (2021) Behavioral and Neural Dynamics of Interpersonal Synchrony Between Performing Musicians: A Wireless EEG Hyperscanning Study. Front. Hum. Neurosci. 15:717810. doi: 10.3389/fnhum.2021.717810
 
Tehrani, B.M., Wang, J. and Truax, D. (2021), “Assessment of mental fatigue using electroencephalography (EEG) and virtual reality (VR) for construction fall hazard prevention“, Engineering, Construction and Architectural Management, Vol. ahead-of-print No. ahead-of-print. https://doi.org/10.1108/ECAM-01-2021-0017
 
Valle G., Petrini F.M., Mijovic P., Mijovic B., Raspopovic S. (2021) A Computer-Brain Interface that Restores Lost Extremities’ Touch and Movement Sensations. In: Guger C., Allison B.Z., Gunduz A. (eds) Brain-Computer Interface Research. SpringerBriefs in Electrical and Computer Engineering. Springer, Cham. https://doi.org/10.1007/978-3-030-79287-9_7
 
Grammer  J. K. , Xu K. , Lenartowicz A. Effects of context on the neural correlates of attention in a college classroom, npj Sci. Learn. 6, 15 (2021).
 
Phillips J. P. , Pirrung C. J. , Weerasinghe I. , Kanishka G. K. , Satharasinghe Y. , Lalitharatne T. D. , Cavanagh J. F. , Kodituwakku P. , Wanigasinghe J. Portable Acquisition of Auditory ERPs – A Pilot Study of Premature Infants, Pediatric Neurology, 2021.
 
Jakovljević T. , Janković M. M. , Savić A.M. , Soldatović I. , Čolić G. , Jakulin T.J. , Papa G. , Ković V. The Relation between Physiological Parameters and Colour Modifications in Text Background and Overlay during Reading in Children with and without Dyslexia, Brain Sci. 2021, 11, 539.
 
 
Atici-Ulusu H. , Dila Ikiz Y. , Taskapilioglu O. , Gunduz T. Effects of augmented reality glasses on the cognitive load of assembly operators in the automotive industry, International Journal of Computer Integrated Manufacturing, 2021.
Grennan G. , Balasubramani P. P. , Alim F. , Zafar-Khan M. , Lee E. , Jeste D. , Mishra J. Cognitive and Neural correlates of Loneliness and Wisdom during Emotional Bias, Cerebral Cortex 2021.
 
Hölle D. , Meekes J. , Bleichner M.G. Mobile ear-EEG to study auditory attention in everyday life, preprint
 
Tagliazucchi E. , Zamberlan F. , Cavanna F. , Fuente L. , Romero C. , Sanz Perl Y. , Pallavicini C. Baseline power of theta oscillations predicts mystical-type experiences induced by DMT, bioRxiv 2021.03.11.434994.
 
 
Fakhraei L. , Francoeur M. , Balasubramani P. , Tang T. , Hulyalkar S. , Buscher N. , Claros C. , Terry A. , Gupta A. , Xiong H. , Xu Z. , Mishra J. , Ramanathan D. Mapping Large-Scale Networks Associated with Action, Behavioral Inhibition and Impulsivity, eNeuro 0406-20. 2021
 
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.
 

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
Frontiers in Neuroscience, 2016; 10:349.

Popović M. L. , et al. Stimulation map for control of functional grasp based on multi-channel EMG recordings.
Medical Engineering & Physics (2016).

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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