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.
Velocity-Based Signal Features for the Assessment of Parkinsonian Handwriting
Impedovo, Donato
2019-01-01
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.File in questo prodotto:
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