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.

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.

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.