This paper is in the following e-collection/theme issue:

New Methods (901) Research Instruments, Questionnaires, and Tools (540) Neurology and Neurosciences (148) Cognitive and Neurorehabilitation (236)

Published on in Vol 20, No 3 (2018): March

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/9462, first published .
Detecting Motor Impairment in Early Parkinson’s Disease via Natural Typing Interaction With Keyboards: Validation of the neuroQWERTY Approach in an Uncontrolled At-Home Setting

Detecting Motor Impairment in Early Parkinson’s Disease via Natural Typing Interaction With Keyboards: Validation of the neuroQWERTY Approach in an Uncontrolled At-Home Setting

Detecting Motor Impairment in Early Parkinson’s Disease via Natural Typing Interaction With Keyboards: Validation of the neuroQWERTY Approach in an Uncontrolled At-Home Setting

Authors of this article:

Teresa Arroyo-Gallego1, 2, 3, 4 Author Orcid Image ;   María J Ledesma-Carbayo2, 3 Author Orcid Image ;   Ian Butterworth5 Author Orcid Image ;   Michele Matarazzo6, 7, 8, 9 Author Orcid Image ;   Paloma Montero-Escribano10 Author Orcid Image ;   Verónica Puertas-Martín7 Author Orcid Image ;   Martha L Gray1, 5 Author Orcid Image ;   Luca Giancardo5, 11 Author Orcid Image ;   Álvaro Sánchez-Ferro5, 6, 7, 8, 12 Author Orcid Image
Article Authors Cited by (38) Tweetations (18) Metrics

Journals

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  21. Tripathi S, Arroyo-Gallego T, Giancardo L. Keystroke-Dynamics for Parkinson's Disease Signs Detection in an At-Home Uncontrolled Population: A New Benchmark and Method. IEEE Transactions on Biomedical Engineering 2023;70(1):182 View
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Books/Policy Documents

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