g.Nautilus fNIRS is a wearable headset that enable simultaneous recordings of EEG and fNIRS (functional near-infrared spectroscopy) signals. fNIRS measures the oxygenation level and hemodynamics of the brain non-invasively. The oxygenation level change as brain areas become more active. Researchers can identify brain activity in real-time based on changes in blood oxygenation and other factors.

The EEG indicates the electrical activity in the brain and provides high temporal resolution, unlike fNIRS. However, a simultaneous recording of both fNIRS and EEG signals in one single device is highly beneficial. EEG signals indicate motor imagery while fNIRS signals show long lasting changes like mental counting or pain. In other words, researchers can capture what might be missed when using only EEG or fNIRS.

The g.Nautilus fNIRS is a mobile device and compatible with EEG which sets a new standard of usability. In combination with g.tec’s active EEG electrode technology, researchers get top-quality EEG recordings from 64/32/16/8 g.SCARABEO EEG channels and 8 fNIRS channels within a few minutes.


Combined fNIRS and EEG measurements with a single wearable headset
g.SCARABEO active wet EEG electrodes
Flexible positioning of EEG electrodes
LED based fNIRS sensors for the forehead and for central positions
64/32/16/8 channel wearable EEG with 3-axis accelerometer
24 bit accuracy at 500 Hz sampling rate for EEG
10 Hz sampling rate for (8 channels) fNIRS
10 hours continuous EEG recording and 2-3 hours charging (32 channel version); 1.5 hours (high power LED) – 8 hours (low power LED) of fNIRS recording
Wireless digital transmission, range: 10 meters indoor
A new benchmark in usability
The only wearable EEG+fNIRS headset with active EEG technology
g.tec's unique internal impedance check
Full integration into g.tec's software environment
Used for research applications only


Weight500 g without fNIRS battery box
Size78 (L) x 122 (W) x 50 (H) mm
Sensitivity±2.25 V, ±1.125 V, ±750 mV, ±562,5 mV, ±375 mV, ±187.5 mV (software selectable)
InterfaceWireless 2.4 GHz ISM band
Digital inputs8 digital trigger inputs at Base Station
EEG SupplyBuilt-in lithium ion battery, runtime > 10 h, inductive charging according to the QI standard of the Wireless Power Consortium
fNIRS SupplyExchangeable lithium ion battery
Amplifier type Real DC coupled
32 × ADC 24 Bit (1.024 MHz internal sampling per channel)
Noise level< 0.6 µV RMS between 1 and 30 Hz (at highest input sensitivity)
Input channelsUp to 32 mono-polar / 16 bi-polar channels with GND and REF (software selectable)
Input impedanceDC > 100 MOhm
Safety classII


Dolby Laboratories is widely known for producing great sound in cinemas. Within their research, Dolby Labs use g.Nautilus wearable EEG headset to study their audience while they are watching videos. Their goal is to better understand what makes viewers engaged, what makes their skin blush, increase their heart-rate or give them goose bumps.


g.Nautilus fNIRS and EEG headset allows to record EEG signals and fNIRS signals from one single device. This can be used to decode information like motor imagery from the EEG and long lasting changes like mental counting or pain with the fNIRS. As a result, researachers can capture signals that might be missed when using EEG or fNIRS only.


Wearable EEG headsets are becoming increasingly important in medical and clinical environments because more and more studies are conducted in the field instead of the lab. For that reason, g.tec developed various versions of g.Nautilus wearable EEG headsets. They are different from all other devices on the market. Their tiny and lightweight EEG amplifier is attached to a g.GAMMAcap to avoid artifacts from cable movements and to allow completely free movements. In addition, g.Nautilus wearable EEG headsets come with g.SAHARA active dry or g.SCARABEO active wet EEG electrodes which enable top quality EEG recordings from 8-64 electrodes within a few minutes.

“We will witness more and more mixed fNIRS and EEG BCIs entering into the human augmentation arena, as more and more machine learning and AI will be coming into our lives.”

Tomasz Rutowski, PhD - Research Scientist at RIKEN AIP, Japan


Send us your email so we can contact you as soon as possible.