Publication

Feasibility and Accuracy of a Dry and Wireless EEG Helmet for Upper Limb Motor Imagery-Based Brain-Computer Interfaces

2023

Abstract

EEG-based brain-computer interfaces (BCIs) are a common tool in neurorehabilitation. However, the benefits of EEG-based BCIs can be limited by the use of wet electrodes, which are often uncomfortable and time-consuming to arrange. Here, we investigated the efficacy of an 8-channel wireless and dry EEG system (Helmate, ab medica s.p.a.) in the context of motor imagery-based BCIs, depending on the positioning of the channels. We collected EEG signals from ten healthy subjects and identified the best electrode configuration to discriminate imagined left and right arm movements based on characteristic event-related desynchronization patterns. This study remarks on and refines the use of the Helmate as a tool for motor imagery-based BCI applications.

Official source

https://infoscience.epfl.ch/entities/publication/827e9b02-66ec-4c46-ad6b-36c35f0f566f

About this result

This page is automatically generated and may contain information that is not correct, complete, up-to-date, or relevant to your search query. The same applies to every other page on this website. Please make sure to verify the information with EPFL's official sources.

Graph Chat

Chat with Graph Search

Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.

DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.

2023

Abstract

Official source

https://infoscience.epfl.ch/entities/publication/827e9b02-66ec-4c46-ad6b-36c35f0f566f

About this result

Related concepts (32)

Brain–computer interface

A brain–computer interface (BCI), sometimes called a brain–machine interface (BMI) or smartbrain, is a direct communication pathway between the brain's electrical activity and an external device, most commonly a computer or robotic limb. BCIs are often directed at researching, mapping, assisting, augmenting, or repairing human cognitive or sensory-motor functions. They are often conceptualized as a human–machine interface that skips the intermediary component of the physical movement of body parts, although they also raise the possibility of the erasure of the discreteness of brain and machine.

Electroencephalography

Electroencephalography (EEG) is a method to record an electrogram of the spontaneous electrical activity of the brain. The biosignals detected by EEG have been shown to represent the postsynaptic potentials of pyramidal neurons in the neocortex and allocortex. It is typically non-invasive, with the EEG electrodes placed along the scalp (commonly called "scalp EEG") using the International 10–20 system, or variations of it. Electrocorticography, involving surgical placement of electrodes, is sometimes called "intracranial EEG".

Electrocorticography

Electrocorticography (ECoG), a type of intracranial electroencephalography (iEEG), is a type of electrophysiological monitoring that uses electrodes placed directly on the exposed surface of the brain to record electrical activity from the cerebral cortex. In contrast, conventional electroencephalography (EEG) electrodes monitor this activity from outside the skull. ECoG may be performed either in the operating room during surgery (intraoperative ECoG) or outside of surgery (extraoperative ECoG).

Related publications (1)

Feasibility and Accuracy of a Dry and Wireless EEG Helmet for Upper Limb Motor Imagery-Based Brain-Computer Interfaces

Chat with Graph Search

Small-world scale-free brain networks from EEG with application to motor imagery decoding and brain fingerprinting