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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… Click to show full 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.
Keywords:
based signal;
velocity;
velocity based;
assessment parkinsonian;
features assessment;
signal features
Journal Title: IEEE Signal Processing Letters
Year Published: 2019
Link to full text (if available)
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Journal Title: IEEE Signal Processing Letters
Year Published: 2019
Link to full text (if available)
Share on Social Media: Sign Up to like & get
recommendations!