This tutorial demonstrates how to control a 6-DOF robotic arm (or any actuator) in real time using only alpha activity measured with the OpenBCI Cyton board. The purpose of this project is to explore ...

Automatic signal processingAutomatic calculation of frontal asymmetry and power spectral density with integrated R-notebooks. Intersubject Correlation ScoresAlso known as Neural Synchrony, ...

NeuroKit2 is a user-friendly package providing easy access to advanced biosignal processing routines. Researchers and clinicians without extensive knowledge of programming or biomedical signal ...

The PyGSP2 is a Python package to ease Signal Processing on Graphs. The documentation is available on Read the Docs and development takes place on GitHub. A (mostly unmaintained) Matlab version exists ...

If you are searching for a way to be able to explore the intricate signals that your body emits, like the electrical activity of your brain, muscles, and heart. Now, with the PiEEG, a new Raspberry Pi ...

Abstract: The interplay of brain signals and the Internet of Things (IoT) is an emerging area. The processing of electroencephalographic (EEG) signals is mainly divided into two categories: (1) signal ...

Even though human experience unfolds continuously in time, it is not strictly linear; instead, it entails cascading processes building hierarchical cognitive structures. For instance, during speech ...