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Potential of Overcomplete Wavelet Frame Expansion for Facilitating Electroencephalogram Information Mining
Potential of Overcomplete Wavelet Frame Expansion for Facilitating Electroencephalogram Information Mining
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Potential of Overcomplete Wavelet Frame Expansion for Facilitating Electroencephalogram Information Mining
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Potential of Overcomplete Wavelet Frame Expansion for Facilitating Electroencephalogram Information Mining
Potential of Overcomplete Wavelet Frame Expansion for Facilitating Electroencephalogram Information Mining

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Potential of Overcomplete Wavelet Frame Expansion for Facilitating Electroencephalogram Information Mining
Potential of Overcomplete Wavelet Frame Expansion for Facilitating Electroencephalogram Information Mining
Journal Article

Potential of Overcomplete Wavelet Frame Expansion for Facilitating Electroencephalogram Information Mining

2022
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Overview
To date, different types brain signals have been employed to develop BCI systems. Because of its convenience and low cost, EEG signal has become the main medium in BCI systems. [...]the method should have a rigorous mathematical basis and can be easily improved theoretically. [...]the method has been widely used in clinical practice, and some mature and practical technical solutions have been formed. [...]as an important tool for feature extraction, wavelet transform also needs to be combined with artificial intelligence to achieve intelligent analysis results (Cao et al., 2019).
Publisher
Frontiers Research Foundation