NeuSen W

Wet - Mobile - EEG

The NeuSen W is a new generation of wireless EEG equipment developed by Neuracle. The NeuSen W has research-grade signal quality, excellent portability, signal stability, and shielding. At the same time, it is equipped with a nine-axis motion sensor, that can be utilized for automatic motion artifact reduction.

The electrode positions of the NeuSen W series are arranged in accordance with the international 10-20 system, and currently include four configurations of 8/16/32/64. The signal quality of the NeuSen W series is comparable to traditional wired EEG equipment, and at the same time it is more compact and portable, and its application scenarios are more flexible. The EEG cap equipped with the EEG amplifier has three sizes, which can perfectly fit various head shapes, ensuring the quality and comfort of the collected signals.

Used around the world by leaders in Research, Neurofeedback, Neuromarketing, Brain-Computer Interfaces, & Neuroergonomics.

Research-Grade Signal Quality

High precision with low input noise sampling technology boosts the signal-to-noise ratio, guaranteeing excellent signal quality while recording small amplitudes like ERPs

Dynamic Range

Super wide dynamic range with a DC-coupled amplifier prevents saturation of the amplifier by electrode offset voltage or artifacts

Wireless Data Transmission

Data is transmitted via 5GHz WiFi to avoid interference and packet loss in traditionally noisy 2.4 GHz environments, while also supporting simultaneous recording for multiple devices

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Free Data Acquisition Software

All NeuSenW systems include free, unlimited licenses of Recorder, the data acquisition software which can record raw data, in .bdf file formats

Motion Artifact Reduction

NeuSenW has built in motion-artifact reduction algorithms utilizing a 9-axis motion sensor and real-time signal processing

Free API

All NeuSenW systems include free API, which enables users to pull the raw data directly from the headset, for custom software on Windows

Full Head Coverage

The NeuSenW has up to 64 channel configuration, allowing for maximum head coverage and unlimited research potential

Child Size System

The NeuSenW system has many different cap size ranges, including caps that go as low as 48 cm head circumference, enabling the use of high-density EEG on children as young as 3

Wireless Synchronization

The Wireless TriggerBox simplifies the synchronization of the NeuSenW with other devices. It features: 

  • 8 bit wireless trigger 
  • 1 digital input: microUSB, serial port with DCP
  • 4 analog inputs: TriggerIn (paralell port DB-25 connector), LineIn (line-level audio 3.5mm jack), MicIn (micro audio 3.5mm jack) LightIn (optic sensor)
  • 3 analog outputs: DAC analog output, TriggerOut, RS485 port

An additional benefit of the TriggerBox design is that it allows synchronization across multiple data sources that are distributed across multiple systems, each of which running at its own clock rate. One such case commonly experienced in EEG experiments involves the synchronization of EEG and eye-tracking measurements, where the inevitable clock drift that arises between two systems during extended measurements creates difficulty in aligning data to events across the two systems.

Auxiliary Sensors

The NeuSenW can be customized to include ExG sensors integrated on the cap, enabling the automatic synchronization of sensors including: ECG, EMG, HEOG, and VEOG. The sensor data is collected and recorded in the data acquisition software, Recorder, where you can view the EEG and ExG sensors in real-time.


EEG Channels

8-64 Channels, Customizable Caps Available

Sampling Rate

Up to 16 kHz

Amplifier / Digitizer



> 120 dB

Input Noise


Input range

± 375mVpp

Input Impedance 


Event synchronization



DC to 4kHz


5GHz Wi-Fi

Wireless Range

10 m


6 hours, extendable with swappable Lithium-Ion battery

Head Size Range

Small: 50 cm – 54 cm circumference
Medium: 54 cm – 58 cm circumference
Large: 58 cm – 62 cm circumference


Data Acquisition

Real time

Signal Quality Monitoring

Continuous impedance

Data Type

Raw Data available

File Type

.CSV and .EDF

Data Output Streaming

TCP/IP socket, API (C Based), LSL

Compatible Software

Brain Computer Interface

SSVEP BCI Algorithms; BCI2000; OpenViBE; PsychoPy; BCILab

SSVEP BCI for Robotic Arm Control

Dr. Chen and his team at the Chinese Academy of Medical Sciences utilized the NeuSenW and SSVEP algorithms to control a robotic arm with 4 possible choices in 6.5s with 97.75% accuracy

Quality Assement of NeuSenW

This study compares the NeuSenW to a state-of-the-art wired EEG system during an SSVEP speller task while standing, walking, and running on a treadmill

Hyperscanning During Gaming

Dr. Ding and his team at Tsinghua University explored behavioral and neural correlates of expertise, and successfully discriminated professional vs amateur gamers


Coming Soon! Email [email protected] for more information