Adaptive convolutional dictionary learning for denoising seismocardiogram to enhance the classification performance of aortic stenosis
Abstract: Highlights•A novel application of convolutional dictionary learning for denoising seismocardiogram (SCG).•Sparse modeling of SCG as the theoretical foundation enabling noise reduction.•Optimized denoising parameters determined through grid search on a self-collected SCG dataset.•Enhancement of Aortic stenosis classification using denoised SCG.
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