Menu
    • Home
    • About
    • News
    • Products
          • Biosignal Amplifiers

            • g.HIAMP
            • g.USBAMP RESEARCH
            • g.HIAMP NIRX
            • g.HIAMP TOBII PRO FUSION
          • Wearable EEG Headsets

            • g.NAUTILUS PRO FLEXIBLE
            • g.NAUTILUS MULTI-PURPOSE
            • g.NAUTILUS RESEARCH
            • g.NAUTILUS FNIRS
            • g.NAUTILUS NIRX
            • g.NAUTILUS TOBII PRO GLASSES 3
          • Electrode Systems

            • g.PANGOLIN HIGH-DENSITY EEG
            • g.SCARABEO EEG ELECTRODES
            • g.SAHARA HYBRID EEG ELECTRODES
            • g.LADYBIRD EEG ELECTRODES
            • g.LADYBIRD EEG FOR TMS
          • Electrical Stimulators

            • g.ESTIM FES
            • g.ESTIM PRO
          • External Trigger Generation

            • g.STIMBOX
            • g.TRIGBOX
            • g.AUDIOBOX
          • Software Environment

            • NEW: G.TEC SUITE 2024
            • g.HISYS
            • g.RECORDER
            • g.BSANALYZE
          • Sensors

            • BODY SENSORS
          • Complete Solution

            • THE BCI SYSTEM
            • RECOVERIX NEUROTECHNOLOGY
            • CORTIQ RAPID CORTICAL MAPPING
            • MINDBEAGLE BRAIN ASSESSMENT
          • Unicorn Brain Interface

            • UNICORN HYBRID BLACK
            • UNICORN EDUCATION KIT
            • UNICORN SUITE SOFTWARE
            • UNICORN TUTORIALS
            • GITHUB
            • FAQ
          • Unicorn BCI Core

            • UNICORN BCI CORE-8
            • UNICORN TDCS CORE-2
            • RESOURCES
          • Webinars & Events

            • 11th INTERNATIONAL BCI MEETING
            • MASTERCLASS PYTHON FOR NEUROSCIENCE
            • THE BCI AWARD
            • BR41N.IO HACKATHON
            • THE SPRING SCHOOL 2026
          • RESOURCES

            • RECOMMENDED CITATION LIST
    • Find g.tec in your country
    • Contact
    • Shop
  • News
  • g.Nautilus for Android: 5 Game-Changing Features Revolutionizing Brain-Computer Interface Technology

g.Nautilus for Android: 5 Game-Changing Features Revolutionizing Brain-Computer Interface Technology

If people measure biosignals, they are usually connected via cables to a computer or at least a notebook, which is also pretty bulky. By using a mobile device like an android based smartphone or tablet, along with a wireless system, biosignal acquisition can be much more portable. Signal acquisition could be performed nearly everywhere by the user. Also, a software framework has been created for g.Nautilus, providing functionality to measure biosignals and do some basic processing, such as applying digital filters, estimating bandpower or calculating bipolar derivation.

The application fields may be pretty similar to common computer based applications. It’s possible to record and process biosignal data on a mobile android device. A mobile acquisition device can also open up new possibilities. The software could be used for data-logging while walking, hiking or doing sports, among other options. Read more: The Unlimited Possibilities of Wireless EEG.

The following images show some EEG recordings with different digital filters and tasks from g.Nautilus with Android. The goal of the app is to view EEG signals in real-time and to apply simple processing steps like digital filters. The configuration dialog helps to read the serial number of the connected g.Nautilus wearable EEG headset. In addition, pre-defined grids, including channel numbers and names, can be applied to the selected g.Nautilus. If that is not enough, it is possible to enable or disable channels for data acquisition and apply pre-defined digital filters.

g.Nautilus for Android EEG recording brain signals

The main window of the app allows the user to connect with a wearable EEG headset and to start data acquisition. The main window is featuring a data scope to visualize acquired EEG data. Also, starting or stopping a data acquisition is anther option in this dialog. Furthermore, it is possible to record data and manipulate the data scope by zooming in or out.

g.Nautilus for Android interface

Summary

The application programming interface (API) allows to interface a wearable g.Nautilus EEG headset with an Android based software. For example, Android Studio could be an option. Therefore, an example code is available to develop and implement your own applications.

COMPANY
  • About
  • Lost License
  • News
  • Jobs
  • Events
  • Contact
LEARN MORE
  • MY ACCOUNT
  • FIND G.TEC IN YOUR COUNTRY
  • PRODUCT CATALOG
  • Newsletter
social media
Imprint | Terms & Conditions | Privacy Policy | Quality Management | Gender Equality Plan
© 2025 g.tec medical engineering GmbH Austria.
  • Sign in
  • New account

Do you have confirmation code? Click here

Forgot your password?

Do you have confirmation code? Click here

Back to login

Lost your password? Please enter your email address. You will receive mail with link to set new password.

Do you have confirmation code? Click here

Back to login