EMOTIV EPOC X – 14-Channel Wireless EEG System

EMOTIV EPOC X – 14-Channel Wireless EEG System

The EMOTIV EPOC X is a professional, portable, and wireless 14-channel EEG system designed for brain activity research, scientific experiments, neurotechnology, and BCI (Brain-Computer Interface) projects.

The device enables recording of electrical brain activity at 14 locations consistent with the international 10-20 electrode placement system. The sensor placement ensures coverage of the frontal, temporal, parietal, and occipital regions, making the EPOC X suitable for academic research as well as projects in psychology, neuroscience, HCI (Human Computer Interaction), and BCI.

The EPOC X utilizes reusable sensors with felt pads soaked in saline solution. This solution reduces subject preparation time compared to traditional EEG systems using conductive gel.

The system allows for a selectable sampling rate of 128 or 256 samples per second and a resolution of 14 or 16 bits. The recorded EEG signal covers a frequency range of 0.16 to 43 Hz.

The built-in 9-axis IMU module enables simultaneous recording of head movements and orientation. Data can be transmitted wirelessly via Bluetooth Low Energy or via a dedicated USB receiver operating in the 2.4 GHz band.

The EMOTIV EPOC X is intended for universities, research laboratories, R&D teams, BCI developers, UX/HCI specialists, and users conducting experiments requiring mobile EEG recording.

Key Features

Professional Wireless EEG System
14 EEG Channels
2 Additional CMS/DRL Reference Electrodes
Electrode Arrangement Complies with the International 10-20 System
Electrode Locations: AF3, F7, F3, FC5, T7, P7, O1, O2, P8, T8, FC6, F4, F8, AF4
Selectable Sampling Rate: 128 or 256 SPS
Internal Signal Sampling at 2048 Hz
Selectable Resolution: 14 or 16 Bit
EEG Frequency Range: 0.16–43 Hz
Built-in 50 Hz and 60 Hz Digital Mains Filters
Built-in 5th Order Digital Sinc Filter
Active Common Mode Noise Reduction System
Reusable Sensors
Electrodes Using Felt Pads Soaked in Saline
Sensors Can Be Quickly Rehydrated During the Test
Wireless Transmission Data
Bluetooth Low Energy
Support for a dedicated 2.4 GHz USB receiver
Bluetooth 5.0-ready hardware
Built-in 9-axis IMU motion sensor
Accelerometer
Gyroscope
Magnetometer
Head orientation and movement recording
Built-in lithium-polymer battery
Up to 9 hours of operation with the USB receiver
Up to 6 hours of operation with Bluetooth Low Energy transmission
Weighs only 170 g
Design enabling mobile research
Compatibility with EMOTIV software
Can be used in BCI projects
Access to real-time EEG data
Can be integrated with custom software via Cortex API and SDK
Can be integrated with Python, MATLAB, and Unity, among others

Technical Specifications

EEG Electrodes and Channels
Number of EEG Channels: 14
Number of Reference Electrodes: 2
EEG Channels: AF3, F7, F3, FC5, T7, P7, O1, O2, P8, T8, FC6, F4, F8, AF4
Electrode Placement System: International 10-20 System
Reference Electrodes: CMS/DRL
Standard Reference Electrode Position: P3/P4
Alternative Reference Electrode Position: Left and Right Mastoid Processes M1/M2
Sensor Material: Felt Pads Impregnated with Saline
Sensors: Reusable
EEG Signal Parameters
Sampling Method: Sequential Sampling
Transducer: Single ADC
Internal Sampling Rate: 2048 Hz
Output Sampling Rate: 128 SPS or 256 SPS
Sampling rate: User-configurable
Resolution: 14 or 16 bits
Voltage resolution in 14-bit mode: 0.51 µV/LSB
Voltage resolution in 16-bit mode: 0.1275 µV/LSB
Frequency response: 0.16–43 Hz
Network filter: 50 Hz digital notch filter
Network filter: 60 Hz digital notch filter
Filtration: 5th-order digital Sinc filter
Input signal dynamic range: 8400 µVpp
Dynamic range: approximately ±4.17 mV
Input coupling: AC

Motion sensor
Built-in IMU module
IMU model: ICM-20948
Number of measurement axes: 9
Accelerometer: 3-axis
Gyroscope: 3-axis
Magnetometer: 3-axis
Orientation data: Normalized 4D quaternions
Resolution: 14 or 16 bits
Ability to record head movement and orientation

Connectivity
Communication: Wireless
Bluetooth: Bluetooth Low Energy
Device hardware ready for Bluetooth 5.0
Dedicated wireless USB receiver: Yes
Wireless receiver frequency: 2.4 GHz
USB interface: USB
Real-time EEG transmission: Yes

Power supply: Built-in rechargeable battery
Battery type: Lithium polymer
Battery capacity: 595 mAh
Operating time using the USB receiver: Up to 9 hours
Operating time using Bluetooth Low Energy: Up to 6 hours
Battery: Rechargeable

Physical parameters
Weight: 170 g
Dimensions: 9 × 15 × 15 cm
Design: Portable
Headband design: Adjustable/rotatable wristband
sensors: replaceable and reusable

Features available in the EMOTIV ecosystem

The availability of individual features depends on the software used and your EMOTIV license.

EEG data recording
Real-time EEG monitoring
Electrode contact quality control
EEG signal analysis
Data export – depending on license
Mental Commands
Neutral state + up to 4 trained commands in one profile
Performance Metrics
Excitement
Engagement
Relaxation
Interest
Stress
Attention
Blink detection
Left or right eye blink detection
Surprise detection
Frowning detection
Smile detection
Jaw clenching detection
Laughter detection
Left/right asymmetric smile detection
Ability to create your own BCI applications
Access via Cortex API and SDK
Python compatibility
MATLAB compatibility
Unity compatibility
Ability to integrate with your own research systems and processes

Software

The EMOTIV EPOC X works with the EMOTIV software ecosystem, including:

EMOTIV Launcher – connection, configuration, and device management
EmotivPRO – EEG recording, visualization, and analysis
EmotivBCI – Brain-Computer Interface application development and testing
Cortex API
Cortex SDK
Python integration
MATLAB integration
Unity integration

The scope of available data, the ability to export raw EEG data, and access to analytical features depend on your EMOTIV software plan and license.

Intended Use

The EMOTIV EPOC X is a device intended for research, education, development, and BCI applications. This device should not be presented as a medical EEG device intended for clinical diagnostics.

Applications

EEG research
Scientific research
Academic research
Neuroscience
Neurotechnology
BCI projects
Brain-Computer Interface
Human-Computer Interaction (HCI)
UX research
User behavior research
Cognitive research
Psychological experiments
Attention and engagement research
Development of applications using EEG signals
Education
Research laboratories
R&D projects
Prototyping EEG-controlled solutions