
mBrainTrain’s Smarting S offers reliable wireless EEG acquisition with real-time access to raw data. Designed for ease of use and mobility, Smarting S combines excellent signal quality, precise timing, and long battery life in a device weighing less than 70 grams. Integrated motion sensing and Bluetooth 5.2 connectivity make it ideal for a wide range of cognitive, auditory, and mobile EEG studies.

Smarting S
mBrainTrain's Smarting device offers high-quality wireless EEG recordings and real-time brain activity monitoring, both in and out of the lab. When paired with a PC, it delivers superior data quality and excellent time precision, making it a reliable tool for researchers. Motion tracking, facilitated by a 3D built-in gyroscope, contributes supplementary data, enriching EEG research capabilities.
Compatibility
Smartphones Compatible
Combine Smarting S with Smartfones, mBrainTrain’s innovative EEG headgear, perfectly suited for auditory and music-based studies.
[Explore Smartfones]
Acquisition Software
Smarting S integrates seamlessly with the mbt Streamer software for PC, enabling stable wireless communication and real-time visualisation of raw EEG data. Pre-configured settings minimise setup errors and support efficient data collection. The system supports precise synchronisation for experimental workflows and ensures reliable acquisition in both stationary and mobile research environments.
Channels and Caps
Smarting S supports 16 unipolar EEG channels with referential recording, using standard EEG cap layouts. The system is designed for high-quality signal acquisition while maintaining a lightweight and user-friendly setup.
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Ultra-lightweight design
Weighing less than 70g and measuring just 8 x 5 cm, the Smarting S features a compact form factor that maximises participant comfort and makes it ideal for mobile, real-world, and movement-based EEG research.

Flexible sampling rates
The system offers selectable sampling rates of 250 Hz or 500 Hz, with a flat frequency response from 0-133 Hz, allowing researchers to tailor acquisition settings to the specific temporal and spectral requirements of their study.
High-resolution recording
With 24-bit resolution and less than 1µV input-referred noise, the Smarting S delivers high-fidelity EEG recordings, ensuring excellent signal quality suitable for both research-grade and clinical applications.
Motion sensing
An integrated 3D accelerometer enables synchronised motion tracking, supporting movement-aware EEG studies and facilitating artefact identification during ambulatory or task-based paradigms.
Extended wireless range
Bluetooth 5.2 connectivity provides a stable wireless range of up to 10 meters, giving researchers greater flexibility in laboratory and real-world environments without compromising data integrity.

Long battery life
The system supports approximately 10 hours of continuous wireless EEG streaming on a single charge, making it well suited for extended recording sessions and full-day experimental protocols.
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General Characteristics |
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Parameter |
Specification |
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Name |
Smarting S |
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Number of channels |
16 |
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Channel type / reference |
Referential channels / recording with one electrode |
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Input impedance |
1 GΩ |
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Input-referred noise |
< 1 µV |
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Input range |
(-100) mV – 100 mV |
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CMMR |
> 140 dB |
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Gain |
24 |
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Electrode connectors |
IDC |
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EEG cap layout |
Standard 16 unipolar channels |
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Physical Characteristics |
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Parameter |
Specification |
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Physical box size |
85 × 19 × 54 mm |
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Weight |
< 70 g |
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A/D Conversion |
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Parameter |
Specification |
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Sampling frequency |
250 Hz or 500 Hz |
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Sampling method |
Parallel sampling |
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Resolution |
24-bits |
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Bandwidth |
0–250 Hz |
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Flat frequency response |
0–133 Hz |
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Frequency response |
3 dB attenuation at 133 Hz, true DC performance |
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Anti-aliasing filter |
Yes |
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Active ground |
Yes |
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Communication |
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Parameter |
Specification |
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Wireless communication |
Bluetooth 5.2 + EDR |
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Wireless range |
> 10 meters |
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Power |
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Parameter |
Specification |
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Power supply |
USB Type-C |
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Battery type |
Internal |
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Operation time |
~ 10 hours |
- Association between changes in EEG alpha power and behavioural outcome in autistic children induced by child-centred play therapy: A randomised controlled trial. Chan, K.-L. R., & Ouyang, G. (2025). Counselling and Psychotherapy Research, 25(1), e12813.
- Neural speech tracking in a virtual acoustic environment: Audio-visual benefit for unscripted continuous speech. Daeglau, M., Otten, J., Grimm, G., Mirkovic, B., Hohmann, V., & Debener, S. (2025). Frontiers in Human Neuroscience, 19.
- A Wireless, Scalable, and Modular EEG Sensor Network Platform for Unobtrusive Brain Recordings. Ding, R., Hovine, C., Callemeyn, P., Kraft, M., & Bertrand, A. (2025). IEEE Sensors Journal, 25(12), 22580–22590.
- Does Amplitude Compression Help or Hinder Attentional Neural Speech Tracking?. Orf, M., Hannemann, R., & Obleser, J. (2025). Journal of Neuroscience, 45(11).
- Alpha modulation via transcranial alternating current stimulation in adults with attention-deficit hyperactivity disorder. Kannen, K., Rasbach, J., Fantazi, A., Wiebe, A., Selaskowski, B., Asché, L., Aslan, B., Lux, S., Herrmann, C. S., Philipsen, A., & Braun, N. (2024). Frontiers in Psychology, 14.
- Investigating cognitive-motor effects during slacklining using mobile EEG. Papin, L. J., Esche, M., Scanlon, J. E. M., Jacobsen, N. S. J., & Debener, S. (2024). Frontiers in Human Neuroscience, 18.
- Modulation of Posterior Default Mode Network Activity During Interoceptive Attention and Relation to Mindfulness. Ramanathan, D., Nan, J., Grennan, G., Jaiswal, S., Purpura, S., Manchanda, J., Maric, V., Balasubramani, P. P., & Mishra, J. (2024). Biological Psychiatry Global Open Science, 4(6), 100384.
- Behavior-related potentials from single-trial interindividual correlation between event related potentials and behavioral performance reveals right lateralized processing of numerosity. Ren, B., Zhang, Y., Cui, Z., Cheng, D., Liang, X., Lin, P., Lyu, B., & Zhou, X. (2024). Brain and Cognition, 180, 106185.
- Using mobile EEG to study auditory work strain during simulated surgical procedures. Rosenkranz, M., Haupt, T., Jaeger, M., Uslar, V. N., & Bleichner, M. G. (2024). Scientific Reports, 14(1), 24026.
- The Electroencephalogram (EEG) Study for Estimating Endurance Sports Performance Base on Eigenvalues Extraction Method. Zhou, Z., Xu, H., Sun, Y., & Liu, G. (2024). Brain Sciences, 14(11), 1135.
Compatible Products
This product can be used in combination with some of our other systems. Find out more by selecting one from the list below.
Associated Techniques
To find out more about the techniques that are applicable to this product, follow the links below.
Added Value
In addition to supplying and supporting a wide range of neuroscience products, Brainbox offers additional value in a number of areas that can benefit our customers, including:
Training
Installation, Product Training, Technique Training, Bespoke Training
Lab Support
System Upgrades, Testing, Calibration, System Integration, Bespoke Solutions
Research Support
Study Design, Piloting, Technical Information, References
Collaboration
Grant Applications, Industrial Projects, Workshops




