Journal ArticleOPEN ACCESS

Velocity-Based Signal Features for the Assessment of Parkinsonian Handwriting

IEEE Signal Processing Letters (2019) 26(4) 632-636
DOI: 10.1109/LSP.2019.2902936
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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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APA

Impedovo, D. (2019). Velocity-Based Signal Features for the Assessment of Parkinsonian Handwriting. IEEE Signal Processing Letters, 26(4), 632–636. https://doi.org/10.1109/LSP.2019.2902936

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