Fuzzy Classifiers for Diagnosing of Parkinson’s Disease Based on Static Handwritten Data-Reference-Cited by-同舟云学术

Fuzzy Classifiers for Diagnosing of Parkinson’s Disease Based on Static Handwritten Data

Published:2023-06 Issue:3 Volume:59 Page:346-357
ISSN:8756-6990
Container-title:Optoelectronics, Instrumentation and Data Processing
language:en
Short-container-title:Optoelectron.Instrument.Proc.

Author:

Hodashinsky I. A.,Shurygin Yu. A.,Sarin K. S.,Bardamova M. B.,Slezkin A. O.,Svetlakov M. O.,Koryshev N. P.

Publisher

Allerton Press

Subject

Electrical and Electronic Engineering,Condensed Matter Physics,Instrumentation

Link

https://link.springer.com/content/pdf/10.3103/S8756699023030081.pdf

Reference30 articles.

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4. R. Senatore and A. Marcelli, ‘‘A paradigm for emulating the early learning stage of handwriting: Performance comparison between healthy controls and Parkinson’s disease patients in drawing loop shapes,’’ Hum. Movement Sci. 65, 89–101 (2019). https://doi.org/10.1016/j.humov.2018.04.007

5. A. Parziale, R. Senatore, A. Della Cioppa, and A. Marcelli, ‘‘Cartesian genetic programming for diagnosis of Parkinson disease through handwriting analysis: Performance vs. interpretability issues,’’ Artif. Intell. Med. 111, 101984 (2021). https://doi.org/10.1016/j.artmed.2020.101984