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Published in 2019 at "IEEE Signal Processing Letters"
DOI: 10.1109/lsp.2019.2902936
Abstract: This letter investigates different velocity-based signal processing techniques to the aim of Parkinson's disease classification through handwriting. It is showed that combining new velocity-based features with classic features improves state-of-the-art performance on the PaHaW dataset.
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Keywords:
based signal;
velocity;
velocity based;
assessment parkinsonian ... See more keywords