Graph-Based EEG Signal Compression for Human–Machine Interaction

Communication of bioelectric signals, such as electroencephalography (EEG) signals, will be a key technology for smooth interaction between users and remote robots. The existing solutions use an orthogonal transform for EEG signal compression, such as Discrete Wavelet Transform (DWT) or Discrete Cos...

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Bibliographic Details
Main Authors: Takuya Fujihashi, Toshiaki Koike-Akino
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/10375318/