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eego™rt

Real-time neurofeedback and BCI in a compact, portable solution

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eego rt is designed for real-time brain-computer interface (BCI), neurofeedback, and neurorehabilitation applications.

With high-density EEG recordings and seamless integration with leading BCI packages, eego rt delivers superior data quality for mobile and real-time research in diverse environments. 


Why Choose eego rt​

Compact and Portable

Compact, tablet-sized device for portability and real-time applications

Wide Channel Range

Supports 8, 24, 32 and 64 referential and 24 bipolar channels

High Signal Quality

EEG recordings with 24-bit resolution and up to 16 kHz sampling rate (32&64 channels)

Active Shielding

Active shielding technology for noise-free, reliable signals

BCI Integration

Seamless integration with major BCI software (OpenVibe, BEI2000, Brainflow)

​Cap Compatibility

Compatible with saline, dry, and gel-based EEG caps

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Medical Certification

CE marked and FDA 510(k) cleared for safe and reliable use

Publications

Changes in Functional Connectivity Predict Outcome of Repetitive Transcranial Magnetic Stimulation Treatment of Major Depressive Disorder

Juliana Corlier, Andrew Wilson, Aimee M Hunter, Nikita Vince-Cruz, David Krantz, Jennifer Levitt, Michael J Minzenberg, Nathaniel Ginder, Ian A Cook, Andrew F Leuchter.

Read More

Computer-aided autism diagnosis via second-order difference plot area applied to EEG empirical mode decomposition

Enas Abdulhay, Maha Alafeef, Loai Alzghoul, Miral Al Momani, Rabah Al Abdi, N. Arunkumar, Roberto Munoz, Victor Hugo C. de Albuquerque.

Read More

Cortical and psychophysiological effects of sensory modulation on attentional switching during exercise

Marcelo Bigliassi BSc, MSc.

Read More

Enhanced Features

Dimensions: 
86 x 100 x 16 mm (8 channels)
115 x 90 x 20 mm (24 channels)
160 x 205 x 22 mm (32, 64 channels)
Weight: < 100 grams

Input Impedance: > 1 GΩ (all)
Max Sampling Rate:
2,048 Hz (8 channels)
4,096 Hz (24 channels)
16,384 Hz (32, 64 channels)
Resolution: 24 bit (all)

Trigger Input:
2-bit TTL (8, 24 channels)
8-bit TTL (32, 64 channels)
USB Interface: USB 2, electrically separated

Battery: 
Not integrated (8, 24 channels)
Integrated (32, 64 channels)
Operation Time (Battery Mode): Up to 5 hrs

Do you have questions or need an offer?​

eego™ amplifier is CE marked as medical device (CE Class IIa) under MDR (EU)  2017/745, has FDA clearance under 510(k) in the USA, Medical Device License (MDL) issued by Health Canada and is registered in the ARTG (371419) in compliance with the Australian TG(MD)R.

Manufactured by eemagine Medical Imaging Solutions GmbH, Berlin, Germany, ISO 13485 certified. ANT Neuro and eemagine are part of the neuromotion group. 

For more information about eego amplifier and the regulatory status in your country, contact us at [email protected] .

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FAQs


The eego™ rt EEG system is designed for real-time EEG applications, including brain-computer interface (BCI), neurofeedback, neurorehabilitation, cognitive neuroscience, and closed-loop neuroscience research. It combines research-grade EEG signal quality with low-latency data streaming, making it suitable for both clinical and research environments that require real-time brain signal processing.

The eego rt EEG system is suitable for both clinical and research applications. It supports neurofeedback, neurorehabilitation, and other real-time EEG workflows while also providing research-grade performance for neuroscience studies involving brain-computer interfaces, adaptive experimental paradigms, and closed-loop EEG research.

Yes. The eego rt EEG system is designed for real-time neurofeedback applications. Its low-latency data streaming, active shielding technology, and compatibility with leading neurofeedback software platforms enable reliable real-time EEG feedback for clinical practice and neuroscience research.

The amplifier dimensions depend on the configuration.

  • 8-channel amplifier: 86 × 100 × 16 mm, less than 100 g
  • 24-channel amplifier: 115 × 90 × 20 mm, less than 100 g
  • 32-channel and 64-channel amplifiers: 160 × 205 × 22 mm, each weighing approximately 600 g

The compact design supports both clinical and mobile neuroscience applications.

Yes. The eego rt EEG system is designed as a compact and portable EEG solution.

  • 8-channel amplifier: Measures 86 × 100 × 16 mm, weighs less than 100 g, and requires external power.
  • 24-channel amplifier: Measures 115 × 90 × 20 mm, weighs less than 100 g, and is powered entirely via USB, with no internal battery required—making it a lightweight solution for mobile and field research.
  • 32-channel and 64-channel amplifiers: Measure 160 × 205 × 22 mm and each weigh approximately 600 g. They include an integrated rechargeable battery providing up to 5 hours of operation, extendable through USB power.

The eego rt EEG system is available with 8, 24, 32, or 64 referential EEG channels, depending on the configuration. The 32-channel and 64-channel systems additionally support 24 bipolar channels for recording EMG and other physiological signals.

The 8-channel eego rt EEG system supports sampling rates up to 2,048 Hz.

The 24-channel eego rt EEG system supports sampling rates up to 4,096 Hz (4 kHz), with 24-bit resolution.

The 32-channel and 64-channel systems support sampling rates up to 16,384 Hz (16 kHz), with up to 24-bit resolution.

These sampling rates enable precise recording of fast neural activity, ERP components, high-frequency oscillations, and demanding real-time neuroscience applications.

Yes. The eego rt EEG system supports hardware TTL triggers for accurate event synchronization.

  • 8-channel amplifier: 2-bit TTL trigger input
  • 24-channel amplifier: 2-bit TTL trigger input, plus 1-bit TTL output for third-party trigger integration
  • 32-channel and 64-channel amplifiers: 8-bit TTL trigger input

TTL triggers are recommended for ERP studies and other applications requiring precise timing.

The eego rt EEG system uses ANT Neuro's active shielding technology to reduce electrical interference and movement-related artefacts during EEG recording. Active shielding helps maintain high signal quality in clinical environments, research laboratories, and mobile recording settings.

Yes. Depending on the configuration, the eego rt EEG system supports 8, 24, 32, or 64 referential EEG channels, as well as 24 bipolar channels for differential physiological recordings.

The eego rt EEG system is optimized for applications requiring continuous, low-latency EEG data. It supports real-time EEG streaming, integrates with leading BCI software platforms, provides up to 16,384 Hz sampling and up to 24-bit resolution, and features active shielding technology and compatibility with ANT Neuro's waveguard™ EEG caps. These features enable real-time neurofeedback, motor imagery, P300, SSVEP, closed-loop stimulation, and other BCI paradigms.

The eego rt EEG system integrates with widely used BCI development platforms, including:

  • OpenViBE
  • BCI2000
  • BrainFlow

The system also provides a dedicated EDI (eego data interface) toolkit for developers creating custom BCI, neurofeedback, rehabilitation, or neuroscience applications on Windows, Android, or Linux platforms.

Yes. EEG data can be streamed in real time using a dedicated EDI (eego data interface) toolkit, allowing developers to build custom neurofeedback, BCI, rehabilitation, or neuroscience research applications on Windows, Android, or Linux platforms.

Yes. The eego rt EEG system supports integration with third-party software through its EDI (eego data interface) toolkit. This enables real-time EEG streaming into custom software, neuroscience research platforms, and BCI applications.

Yes. The eego rt EEG system supports integration with third-party software through its EDI (eego data interface) toolkit. This enables real-time EEG streaming into custom software, neuroscience research platforms, and BCI applications.

No. LSL is implemented at the software level in the eego recording software. The eego rt system is supplied without recording software. Data are streamed through the provided EDI toolkit to compatible BCI or neurofeedback software, or to a custom-built platform on Windows, Android, or Linux.

The ideal EEG channel count depends on the application.

  • 8–24 channels: Suitable for many neurofeedback protocols and basic BCI applications.
  • 32 channels: Provide improved spatial coverage for motor imagery and cognitive neuroscience.
  • 64 channels: Support advanced source localization, connectivity analysis, and complex BCI research.

Because the eego rt EEG system is available in multiple configurations, laboratories and clinics can choose the channel count that best matches their workflow.

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