Using articulated speech EEG signals for imagined speech decoding

Brain-Computer Interfaces (BCIs) open avenues for communication among individuals unable to use voice or gestures. Silent speech interfaces are one such approach for BCIs that could offer a trans- formative means of connecting with the external world. Performance on imagined speech decoding however is rather low due to, amongst others, data...

EEG based BCI: measurement and quality control

Purpose<br/>The main purpose of this report is to find out whether the OpenBCI "Ultracortex Mark IV" Electroencephalogram (EEG) headset is capable of differentiating EEG-signals of motor execution from neutral state with recorded data and to find out whether it can differ motor executions between left and right hand. Next to that, it is to be...

BCI user interface

This document presents the development of a user interface for an EEG motor imagery based Brain-Computer Interface (BCI) as the interface subgroup. The aim of this subgroup in the project was to design and implement a graphical user interface (GUI) incorporating visual neurofeedback to enhance the accuracy of the decode algorithm, developed by...

Influential stimuli characteristics on SNR in SSVEP-based interfaces: Thesis report: researching different aspects that influence the SNR in SSVEP-based interfaces

Different paradigms can be used to evoke brainwaves. These brainwaves can be interpreted as commands that can be used to control different applications. These frameworks that interpret the brainwaves are called brain-computer interfaces. Steady-state visually evoked potentials is one of these paradigms that uses external stimuli flickering at...

Epileptic seizure detection using near-ear EEG

60 million people around the world have epilepsy, which is a neurological disorder that severely impacts their day to day life negatively. Currently available methods to reduce the effects of epilepsy are either ineffective or require expensive and invasive surgery. A new method has been found that can suppress epilepsy without the need of...

Agar/NaCl tissue phantom mimicking electrical properties of human body in low frequency spectrum: A Brain-Computer Interface Inside Your Earphones

This report details the design and development of an agar/NaCl gel-like tissue phantom mimicking the electrical properties of wet human skin. The skin phantom provides a reliable, reproducible testing ground for dry-contact polydimethylsiloxane (CNT/PDMS) electrodes, with the aim of recording electroencephalograms (EEGs) and stimulating brain...

Design and validation of a neurofeedback protocol to assess the effect of the sensorimotor rhythm on reflex modulation

People can learn voluntary regulation of certain brain rhythms with help of real-time feedback through a brain-computer interface. Modulation of brain rhythms associated with movement, also known as sensorimotor rhythms (SMR), has shown to alter excitability of the spinal cord. This may indicate a potential role of the SMR in reflex modulation....

Brain-computer interface-based feedback to enhance motor rehabilitation

The central nervous system (CNS) exhibits remarkable plasticity throughout life. The physiological changes in the CNS that occur due to plasticity allow us to perform new skills and old ones more effectively and efficiently over time.<br/><br/>Recently, it has been demonstrated that plasticity can be used to help people recover motor function...

Separating individual finger activity when performing force tasks using EEG source localization methods

Electroencephalography (EEG) source localization has been applied in the development of braincomputer interfaces to control hand prostheses. When performing fine movements, our brain uses sensory feedback regarding position, velocity, and force to improve performance. Understanding the cortical mechanisms underlying individual finger movements...

Enhancing BCI Based Navigation by Adding Intention Detection and a Virtual Assistant

If a person is severely disabled, he can be stuck in a wheelchair without being able to effectively control it. One method to regain control is through a Brain Computer Interface (BCI). However, using a BCI for direct input has several drawbacks, such as a low accuracy, low bitrate (causing a delay in input) and high required mental effort. As a...