Brain–Computer Interface: The HOL–SSA Decomposition and Two-Phase Classification on the HGD EEG Data

Brain–Computer Interface: The HOL–SSA Decomposition and Two-Phase Classification on the HGD EEG Data

An efficient processing approach is essential for increasing identification accuracy since the electroencephalogram (EEG) signals produced by the Brain–Computer Interface (BCI) apparatus are nonlinear, nonstationary, and time-varying. The interpretation of scalp EEG recordings can be hampered by non...

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Bibliographic Details
Main Authors: Mary Judith Antony, Baghavathi Priya Sankaralingam, Shakir Khan, Abrar Almjally, Nouf Abdullah Almujally, Rakesh Kumar Mahendran
Format: Article
Language:English
Published: MDPI AG 2023-09-01
Series:Diagnostics
Subjects:
brain–computer interface (BCI)
electroencephalogram (EEG) signals
artifact removal
Singular Spectrum Analysis (SSA)
Independent Component Analysis (ICA)
Online Access:https://www.mdpi.com/2075-4418/13/17/2852

Internet

https://www.mdpi.com/2075-4418/13/17/2852

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