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

• 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

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...