NAUTILUS RESEARCH

WEARABLE EEG HEADSET

g.Nautilus RESEARCH is the non-certified version of g.Nautilus PRO. Therefore, it is less expensive, and intended to be used for research applications only. The wearable EEG headset offers flexible cables to configure the electrode positions as you wish. A dry electrode version based on the worldwide proven g.SAHARA EEG electrodes is available, as well as a version with gel-based g.SCARABEO electrodes with 8/16/32/64 EEG channels.

PRODUCT HIGHLIGHTS

g.SAHARA dry EEG electrodes
g.SCARABEO gel based EEG electrodes
Flexible solution: position the electrodes as you wish; kids’ cap available
64/32/16/8 channel wearable EEG headset with 3-axis accelerometer
24 bit accuracy at 500 Hz sampling rate (8/16/32 channels)
24 bit accuracy at 250 Hz sampling rate (64 channels)
A new benchmark in usability
The only wearable headset with active EEG electrode technology
g.tec's unique internal impedance check
Waterproof device with contactless charging
6 hours (64 channels), 10 hours (8, 16, 32 channels) continuous recording and 2-3 hours charging
2.4 GHz digital transmission, range: 10 meters indoor
Full integration into g.tec's software environment
Used for research applications only

TECHNICAL SPECIFICATIONS

Weight< 140 g without electrode grid (64 channels) < 110 g without electrode grid (8, 16, 32 channels)
Size78 (L) x 60 (W) x 36 (H) mm (64 channels) 78 (L) x 60 (W) x 26 (H) mm (8, 16, 32 channels)
ColorBlack
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
SupplyBuilt-in lithium ion battery, runtime > 6 h with 64 channels (> 10 h with 8/16/32 channels), inductive charging according to the QI standard of the Wireless Power Consortium
Amplifier type Real DC coupled
64 × 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 64 mono-polar / 32 bi-polar channels with GND and REF (software selectable)
Input impedanceDC > 100 MOhm
Safety classII

SIGNAL QUALITY COMPARISON TEST

A brand-new article from Thea Radüntz showed that the g.Nautilus g.LADYbird with active gel EEG electrodes and the g.Nautilus g.SAHARA with active dry EEG electrodes outperform other wearable EEG headsets. The Frontiers publication compares the number of artifacts in the EEG data during resting with eyes-open and resting with eyes-closed, playing a computer game or performing a cognitive task for 60 minutes altogether.

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AUTOMOTIVE AND AVIATION RESEARCH

g.Nautilus is easy to set up, highly portable, and can provide high-quality data despite movements and the very noisy electromagnetic environment of an operating aircraft. Therefore, the system can easily be used in cars, plains, flight simulators and even high-gravity simulators for pilots and astronauts. VR is often used to simulate different aviation scenarios. Persons are embedded in a virtual environment where embodiment is increased when they are not wired up to bulky equipment. A BCI system in VR allows the user to navigate or control the scenario without touching everything. g.Nautilus also works nicely with eye-trackers and video cameras, so that electrophysiological parameters can be analyzed for neuromarketing applications.

SPORTS SCIENCE AND MEDICINE

If you’re interested in sports applications, you need a wearable EEG headset that is lightweight and highly robust to movement and challenging real-world environments. g.Nautilus weights about as much as a climbing carabiner and has very compact packaging. The active dry EEG version is well suited for high-altitude medicine because it does not require any hair washing, which is difficult in remote locations. For many sports, very good contact between the head and the electrode is crucial, and hence we recommend the gel version for these applications. If the g.Nautilus is well prepped with gel, subjects can even jump and run without seeing artifacts in the data.

ROBOT CONTROL

The Serbian artist Dragan Ilic equipped a KUKA robot with hundreds of pencils, and used it to create numerous works of art with g.Nautilus and BCI software. He selects drawing commands just by thinking, and the robot paints on a vertical and a horizontal wall guided by Dragan’s mind. The performance was shown during the Ars Electronica Festival in Linz, and visitors could control the robot with the wearable EEG headset. The high-resolution EEG headset with 64 channels enables also exoskeleton control with motor imagery, P300 and SSVEP based BCI systems.

WIRELESS EEG FOR KIDS

g.Nautilus opens up many new research areas that were not possible beforehand. For example, it can be used easily with children because it sits comfortably on the head and children do not try to remove it. Just like adults during sports, kids often run and produce a lot of other movement, and lower-quality systems will generate a lot of motion artifact.

UNLIMITED POSSIBILITIES

Wearable EEG and biosignal acquisition headsets are becoming increasingly important in medical and clinical environments, especially since more and more studies are conducted in the field instead of the lab. Therefore, g.tec developed g.Nautilus. Its design is completely different from all other devices, and it sets a new standard of usability. The tiny and lightweight device is attached to the EEG cap to avoid cable movements and to allow completely free movements. In combination with dry or gel-based active EEG electrode technologies, users get top quality EEG recordings from 8-64 channels within few minutes.

“We have several ongoing studies. One of these studies is to extend human arm control to new approaches that control more than two arms with the help of brain-computer interfaces.”

Hiroshi Ishiguro, PhD - Intelligent Robotics Laboratory, Japan

“g.Nautilus wireless EEG amplifiers allow us to investigate freezing of gait in Parkinson’s disease, a dangerous symptom for the aging population as it can lead to falls. We can synchronize the EEG signals with VICON motion capture data seamlessly, without adding extra burden on our patients such as backpacks, or wired in hardware following them.”

Aysegul Gunduz, PhD - University of Florida, USA

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