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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Veröffentlicht in:	IEEE access 2024-01, Vol.12, p.1163-1171
Hauptverfasser:	Fujihashi, Takuya, Koike-Akino, Toshiaki
Format:	Artikel
Sprache:	eng
Schlagworte:	Basis functions Bioelectricity Discrete cosine transform Discrete Wavelet Transform Discrete wavelet transforms EEG Electroencephalography Fourier transforms graph signal processing parameterized graph shift operator Quantization (signal) Robot kinematics Robot sensing systems Sensors Signal quality Three-dimensional displays Wavelet transforms
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