Ensemble Voting-Based Multichannel EEG Classification in a Subject-Independent P300 Speller

Classification of brain signal features is a crucial process for any brain–computer interface (BCI) device, including speller systems. The positive P300 component of visual event-related potentials (ERPs) used in BCI spellers has individual variations of amplitude and latency that further changse wi...

Full description

Bibliographic Details

Published in:	Applied sciences Vol. 11; no. 23; p. 11252
Main Authors:	Mussabayeva, Ayana, Jamwal, Prashant Kumar, Akhtar, Muhammad Tahir
Format:	Journal Article
Language:	English
Published:	Basel MDPI AG 01.12.2021
Subjects:	Accuracy Algorithms Amyotrophic lateral sclerosis Brain research brain–computer interface Classification Discriminant analysis EEG classification ensemble learning Neural networks P300 speller Signal processing Support vector machines
ISSN:	2076-3417, 2076-3417
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!