2017
DOI: 10.1177/0142331217704035
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Myoelectric signal classification based on S transform and two-directional two-dimensional principal component analysis

Abstract: Time-frequency representiation has been intensively employed for the analysis of biomedical signals. In order to extract discriminative information, time-frequency matrix is often transformed into a 1D vector followed by principal component analysis (PCA). This study contributes a two-directional two-dimensional principal component analysis (2D2PCA)-based technique for time-frequency feature extraction. The S transform, integrating the strengths of short time Fourier transform and wavelet transform, is applied… Show more

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