USBAMP RESEARCH
REAL-TIME 16 CHANNEL BIOSIGNAL AMPLIFIER FOR MULTIMODAL NEUROSCIENCE
Researchers developing Brain Computer Interfaces, closed-loop neuroscience experiments, neurophysiology studies, and multimodal electrophysiology require more than a conventional EEG amplifier. They need simultaneous sampling, deterministic signal acquisition, flexible biosignal recording, and open software integration.
g.USBamp RESEARCH is a high-performance 16-channel biosignal amplifier designed for research environments where timing, flexibility, and signal quality are critical. The platform combines dedicated 24-bit analog-to-digital converters for every channel, integrated digital signal processing, four independent amplifier groups, and an open software ecosystem for developing real-time neuroscience applications.
Rather than being limited to EEG alone, g.USBamp RESEARCH records EEG, EMG, ECG, EOG, peripheral nerve signals, and numerous physiological sensors using one flexible acquisition platform.
| Real-time Brain-Computer Interface (BCI) research and development |
| Neurofeedback, biofeedback, and closed-loop neuroscience applications |
| Simultaneous EEG, EMG, ECG, EOG, and physiological signal acquisition |
| EEG-TMS, EEG-tDCS, and EEG-fNIRS integration |
| Functional brain mapping, neurophysiology, and epilepsy research |
| Neuroprosthetics, assistive technologies, and human-computer interaction studies |
| Multimodal neuroscience research combining biosignals and external sensors |
| High-accuracy recordings with exceptional signal-to-noise ratio |
| Four independent grounds for interference-free recordings |
| Scalable from 16 channels to multi-amplifier high-channel-count configurations |
| Compatible with active and passive EEG electrodes and physiological sensors |
| Real-time processing with g.HIsys and Python integration through g.Pype |
| Open APIs for Python, MATLAB, Simulink, C, C#, and .NET development |
| Compatible with MNE-Python, FieldTrip, EEGLAB, BCI2000, OpenViBE, and Lab Streaming Layer (LSL) |
| Supports machine learning, AI-based neuroscience workflows, and reproducible research |
| 16 monopolar or 8 bipolar channels per device (software selectable) | Dimensions: 197 × 155 × 40 mm |
| 24-bit A/D conversion | Weight: 1,000 g |
| Simultaneous sampling across all channels | USB 2.0 interface |
| Up to 38.4 kHz sampling rate per channel | 8 digital trigger inputs |
| Real DC-coupled amplifier design | 4 digital outputs |
| < 0.4 µV RMS noise (1–30 Hz) | Standard safety and system connectors |
| > 1000 GΩ input impedance / 220 pF | Built-in calibration unit |
| Sensitivity: 85.7 nV / ±250 mV | Internal digital bandpass and notch filters |
| Four independent grounds for artifact reduction | 2 × 12-bit DAC outputs |
| Integrated DSP for real-time filtering and preprocessing | Impedance checking for active and passive electrodes |
| EEG, EMG, ECG, EOG, spike, and physiological signal acquisition | Internal test signal generation (sine, square, sawtooth, white noise) |
| Compatible with GSR, respiration, pulse, temperature, blood pressure, oxygen saturation, and acceleration sensors | Applied Part CF |
| Multi-amplifier synchronization for higher channel counts | Safety Class II |
REAL-TIME BRAIN-COMPUTER INTERFACE RESEARCH
The g.USBamp RESEARCH has become one of the most widely used biosignal amplifiers for Brain-Computer Interface (BCI) research, neurofeedback, closed-loop neuroscience, and neuroprosthetic applications. Its low-noise architecture, real-time signal processing capabilities, and support for multiple synchronized amplifiers make it ideal for demanding experiments that require immediate access to biosignal data.
Combined with g.HIsys, g.Pype, and open APIs for Python, MATLAB, and Simulink, researchers can develop custom decoding algorithms, machine learning models, and real-time applications for communication, rehabilitation, assistive technologies, and human-computer interaction.
OPEN RESEARCH ECOSYSTEM
The g.USBamp RESEARCH is part of a complete open neuroscience ecosystem that enables real-time biosignal acquisition, multimodal integration, and advanced research workflows. Combined with g.Pype, g.HIsys, g.Recorder, g.BSanalyze, and g.tec Suite 2024, researchers can develop Brain-Computer Interfaces (BCIs), neurofeedback systems, machine learning applications, and closed-loop experiments using Python, MATLAB, Simulink, C, C#, and .NET.
The platform integrates with leading neuroscience software including MNE-Python, FieldTrip, EEGLAB, BCI2000, OpenViBE, and Lab Streaming Layer (LSL), while supporting synchronization with third-party technologies such as fNIRS, TMS, eye-tracking, motion capture, and physiological monitoring systems. This flexibility makes g.USBamp an ideal platform for reproducible neuroscience, multimodal research, and next-generation neurotechnology development.
“We have been using g.USBamp intensively for several years, in collaboration with Slovak Academy of Sciences, for measuring EEG on paretic patients as well as healthy individuals.”
Igor Farkas, PhD - Comenius University, Slovakia
“The g.USBamp allows us to study effects of leadership interactions on both the leader’s and the follower’s brain and cognitive processes with great flexibility.”
Jens Rowold, PhD - Technical University of Dortmund, Germany
“We have used the g.USBamps for approximately four years now and the quality of the signals surpasses our greatest expectations. Last year we also invested in the g.Nautilus system and have been able to move from the more stringent laboratory conditions to the real world settings where BCIs find their applications. I would highly recommend both for anyone involved in BCI research.”
Natalie Mrachacz-Kersting, PhD - Aalborg University, Denmark
“With g.USBamp you don’t think about the amplifier anymore… You think about the EEG signals!”
Ales Holobar, PhD - University of Maribor, SloveniaDESIGNED FOR CHALLENGING RECORDING CONDITIONS
Many neuroscience experiments involve large electrode offsets, electrical stimulation, movement artifacts, or slowly varying physiological signals.
The DC-coupled architecture of g.USBamp RESEARCH, combined with an input range of ±250 mV and a resolution of 85.7 nV, enables researchers to record these signals without amplifier saturation.
This architecture is particularly valuable for:
- EEG-TMS
- EEG-tDCS
- slow cortical potentials
- evoked potentials
- peripheral nerve recordings
- simultaneous EEG and physiological measurements
Because every channel is digitized independently, signal timing remains consistent across all channels while digital filtering eliminates channel-to-channel variations.
SCALE FROM 16 TO HIGH-CHANNEL-COUNT SYSTEMS
g.USBamp RESEARCH systems can be synchronized to create larger acquisition systems while maintaining simultaneous sampling and consistent timing across all connected amplifiers.
Whether recording 16 channels in a single laboratory or scaling to larger multimodal experiments, researchers can expand the system without replacing their existing hardware.
The same amplifiers can also be separated again, allowing laboratories to configure independent recording systems whenever required.
EXCEPTIONAL SIGNAL QUALITY
Signal quality begins long before data reaches the analysis software. Every input channel of g.USBamp RESEARCH uses its own dedicated 24-bit analog-to-digital converter operating at 2.4576 MHz. Hardware oversampling combined with floating-point digital signal processing significantly improves the signal-to-noise ratio while preserving small electrophysiological signals.
This architecture is particularly beneficial for:
- event-related potentials
- high-resolution ECG
- low-amplitude EEG activity
- evoked potentials
- multimodal electrophysiology
By combining simultaneous sampling, hardware oversampling and integrated digital filtering, g.USBamp RESEARCH delivers highly reproducible recordings suitable for demanding neuroscience experiments.
BUILD-IN SYSTEM VALIDATION
Reliable research begins with reliable hardware. g.USBamp RESEARCH includes integrated signal generation, automatic calibration and impedance checking, allowing researchers to validate the complete acquisition chain before experiments begin.
Built-in sine, square, sawtooth and white-noise generators simplify software validation, hardware testing and educational demonstrations, while automatic calibration continuously compensates for offset and gain variations to maximize measurement accuracy.
SIMULTANEOUS EEG AND TMS
Simultaneous EEG and transcranial magnetic stimulation (TMS) enables researchers to investigate cortical excitability, functional connectivity, neuroplasticity, and the immediate effects of brain stimulation with millisecond temporal resolution.
The g.USBamp RESEARCH is well suited for EEG-TMS experiments thanks to its ±250 mV DC-coupled input range, dedicated 24-bit ADCs for every channel, and integrated digital signal processing. Combined with g.BSanalyze, researchers can remove TMS and tDCS stimulation artifacts using dedicated post-processing algorithms, supporting reproducible EEG-TMS studies and advanced closed-loop neuromodulation research.
SIMULTANEOUS EEG AND FNIRS
Electroencephalography (EEG) provides millisecond temporal resolution, while functional near-infrared spectroscopy (fNIRS) measures changes in cerebral oxygenation. Combining both modalities enables researchers to investigate the relationship between neuronal activity and hemodynamic responses.
The g.USBamp RESEARCH integrates seamlessly with fNIRS, enabling synchronized multimodal recordings for cognitive neuroscience, Brain-Computer Interfaces, neurovascular coupling, functional brain mapping, and rehabilitation research. Together with g.HIsys, researchers can develop custom multimodal analysis pipelines using Python, MATLAB, Simulink, and other open research environments.
PROVEN IN COMPETITIVE BCI RESEARCH
The Cybathlon BCI Race, held at ETH Zurich, brings together teams from around the world to demonstrate how Brain-Computer Interfaces can restore communication and control for people with severe physical disabilities. During the inaugural competition in 2016, Numa Poujouly from École Polytechnique Fédérale de Lausanne (EPFL), Switzerland, won the gold medal by controlling his avatar using only brain activity in the BrainRunners game.
The team relied on g.USBamp RESEARCH for high-quality EEG acquisition, demonstrating the platform’s suitability for real-time Brain-Computer Interface applications under demanding competitive conditions.
BENCHMARKING BCIs IN THE REAL WORLD: THE CYBATHLON
At the Cybathlon 2016, ETH Zurich ran an independent, peer-reviewed benchmark of 11 international BCI teams under live competition conditions with tetraplegic pilots. The gold-medal-winning team, Brain Tweakers/CNBI-EPFL, posted the two fastest times of the entire field (90s and 125s vs. a next-best of 135s) running on g.tec’s g.USBamp RESEARCH.
Published in Frontiers in Neuroscience (Novak et al., 2018), the study found no amplifier gave a systematic edge overall, performance came down to pilot training. At the highest level of real-time BCI control, g.USBamp was never the bottleneck, and in the hands of the best-trained team, it won.
VALIDATED IN LARGE-SCALE P300 BCI RESEARCH
In one of the largest P300-speller studies to date, researchers tested 100 unselected participants using g.USBamp (24-bit, 8 channels, 256 Hz) to acquire EEG for a real-time Simulink-based LDA classifier, comparing row/column and single-character flashing after just 5 minutes of calibration.
72.8% of participants spelled with 100% accuracy using the row/column paradigm, far outperforming a comparable motor-imagery BCI where only 6.2% reached 90–100% accuracy. Published in Neuroscience Letters, the study remains a key reference for rapid, high-accuracy P300 BCI calibration with g.USBamp.
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