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Rapid prototyping
Dry and semi-dry sensors remove the 'laboratory' barrier — a demo is assembled on ready-made hardware without buckets of gel.
Use case
12-month warranty
Support in Russian
BCI development: brain-computer interfaces on ready-made hardware
Use case for R&D teams and startups: rapid prototype start with dry sensors and scaling to lab-quality data.
Official Emotiv supply
Delivery across Russia
Training and support
2–32channels — from compact headset to research system
2048Hz internal sampling frequency of EPOC X with decimation
≤1 msEvent marker synchronization in EPOC X PRO
SDK/APIaccess to raw data and state metrics
About the use case
What it is and how it works
BCI (brain–computer interface) is a system that converts brain signals into commands for external devices. Modern wireless EEG headsets cover the entire neurointerface development cycle: signal acquisition, transmission to a computer, preprocessing, and pattern recognition—without bulky amplifiers and gel-based preparation.
A typical pipeline looks like this: the headset streams raw EEG via Bluetooth or a USB receiver, the application receives data and metrics via SDK (attention, engagement, stress, facial and mental commands), and then your logic converts them into actions—controlling an interface, robot, game, or smart home scene. For strict experiments, data is synchronized with event markers: the EPOC X PRO has a labeling delay of less than a millisecond.
We help you build this pipeline: advise on which headset will cover your prototype's requirements, what sampling rates and channels are needed for your classifier, how to stream data to Python or MATLAB, and where the line is drawn between a 'hackathon demo' and a sustainable product. We supply equipment with documentation and examples in Russian.
Metrics
What do we measure in this use case
Key signal indicators on which the methodology is built: from basic EEG rhythms to derived indices.
Raw EEG
data stream from each channel — foundation for custom features and classifiers
Mental commands
recognition of imagined movements (neurogames, action control)
Facial commands
ocular and facial gestures as quick interface 'buttons'
State metrics
attention, engagement, stress, and relaxation — ready-made metrics on top of EEG
IMU data
6- and 9-axis accelerometer/gyroscope for head movement context
Event markers
precise stimulus-to-signal time-locking for controlled experiments
Implementation
How it works
1
Team briefing
We gather requirements: BCI type, required channels and frequencies, development environment, target application platform.
2
Prototype
We start with dry or semi-dry headsets — MN8 and EPOC X allow you to build a working demo in a matter of weeks.
3
Data pipeline
We configure streaming via SDK/API and LSL, connect Python/MATLAB, and check signal quality and latency.
4
Iterations and tests
We fine-tune the classifier on your features or ready-made metrics, test it with users, and increase accuracy.
5
Scaling
Switching to FLEX or EPOC X PRO — more channels, gel sensors, and precise synchronization for serial research.
Equipment
Recommended devices for this use case
Configurations that most often solve the use case — with a transition to full specifications and photos.
EEG headsetMN8
8-channel in-ear headset with IMU and audio — quick prototype startup and mobile scenarios
Features and photos →
EEG headsetEPOC X
14 channels according to the 10–20 system, 2048 Hz digitization and SDK — a classic platform for BCI prototypes
Features and photos →
EEG headsetFLEX
up to 32 channels with gel sensors and time-locked EEG+ECG+EMG+EOG — for complex multi signal interfaces
Features and photos →Benefits
What you get
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Open data access
SDK and API provide raw EEG and ready-made metrics: you can write your own classifier or build on top of existing ones.
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Compatibility with ecosystem
LSL, Python, MATLAB, Unity — headsets integrate into your familiar stack of research and gaming tools.
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Seamless scaling
The 2 to 32 channel line allows you to grow from a hackathon demo to serial testing without changing the vendor.
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Precise synchronization
Millisecond event marking in EPOC X PRO makes experiments reproducible and publication-ready.
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Vendor expertise
We implement BCI projects ourselves and will point out the pitfalls — from artifacts to choosing the communication protocol.
FAQ
Frequently asked questions about the 'BCI Development' use case
How to start developing a BCI with your headsets?
Start with a prototype on EPOC X or MN8: install the SDK, get raw EEG and metrics, and collect first control of a demo object. We'll help you choose the model for your task and provide code examples in Russian.
What languages and environments are supported?
Official SDKs cover Python, JavaScript/Node, C#/.NET and Unity, data is also available via LSL for MATLAB and psychophysiology stacks. Raw samples can be saved in EDF/CSV for custom processing.
Can real devices be controlled with thought power?
Yes, within research and industrial scenarios: commands are recognized by EEG patterns and facial gestures, then your logic controls the interface, test bench, or robot. We have supplied equipment for such benches—from assistive solutions to exhibits.
What sampling rate is needed for BCI?
For most applications, 128–256 Hz (Insight, EPOC X, FLEX) is sufficient — these are standard frequencies for cortical rhythms. EPOC X PRO with 512 Hz and active amplifiers is required for strict research protocols and precise stimulus synchronization.
How reliable is the signal from dry sensors?
Dry and semi-dry sensors work well for state metrics, neurogames, and prototyping. For tasks critical to the quality of each channel (clinical protocols, precise source localization), we recommend the FLEX gel systems.
Do you help with integration into our product?
Yes, as part of implementation, we advise on pipeline architecture, streaming, and processing, helping with LSL setup and synchronization. Russian support at all project stages.
Emotiv equipment is not a medical device and is intended for research, development, and wellness scenarios. Device names belong to their respective owners.
We'll configure a solution for your use case
We'll send a quote with equipment, software, and timelines — within one business day. A phone consultation takes 10 minutes.