Embedding Dimension Selection for Adaptive Singular Spectrum Analysis of EEG Signal

• Published in: Sensors (Basel, Switzerland) Vol. 18; no. 3; p. 697
• Main Authors: Xu, Shanzhi, Hu, Hai, Ji, Linhong, Wang, Peng
• Format: Journal Article
• Language: English
• Published: Switzerland MDPI AG 26.02.2018; MDPI
• Subjects: adaptive singular spectrum analysis; Brain; EEG signal; Electroencephalography; embedding dimension selection; Humans; rhythm extraction; Signal Processing, Computer-Assisted; Spectrum Analysis; rhythm extraction; EEG signal; embedding dimension selection; adaptive singular spectrum analysis

The recorded electroencephalography (EEG) signal is often contaminated with different kinds of artifacts and noise. Singular spectrum analysis (SSA) is a powerful tool for extracting the brain rhythm from a noisy EEG signal. By analyzing the frequency characteristics of the reconstructed component (...