Denoising Autoencoder-Based Feature Extraction to Robust SSVEP-Based BCIs

For subjects with amyotrophic lateral sclerosis (ALS), the verbal and nonverbal communication is greatly impaired. Steady state visually evoked potential (SSVEP)-based brain computer interfaces (BCIs) is one of successful alternative augmentative communications to help subjects with ALS communicate...

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Bibliographic Details

Published in:	Sensors (Basel, Switzerland) Vol. 21; no. 15; p. 5019
Main Authors:	Chen, Yeou-Jiunn, Chen, Pei-Chung, Chen, Shih-Chung, Wu, Chung-Min
Format:	Journal Article
Language:	English
Published:	Basel MDPI AG 23.07.2021 MDPI
Subjects:	Amyotrophic lateral sclerosis Back propagation brain computer interface Communication deep neural network denoising autoencoder Electroencephalography Interfaces Neural networks Noise noise suppression Performance evaluation steady state visually evoked potential
ISSN:	1424-8220, 1424-8220
Online Access:	Get full text
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