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

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
Main Authors: Yeou-Jiunn Chen, Pei-Chung Chen, Shih-Chung Chen, Chung-Min Wu
Format: Article
Language:English
Published: MDPI AG 2021-07-01
Series:Sensors
Subjects:
denoising autoencoder
steady state visually evoked potential
brain computer interface
noise suppression
deep neural network
Online Access:https://www.mdpi.com/1424-8220/21/15/5019

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https://www.mdpi.com/1424-8220/21/15/5019

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