Analysis of on-surface and in-air movement in handwriting of subjects with Parkinson’s disease and atypical parkinsonism
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Vera Miler Jerkovic
, Vladimir Kojic
, Natasa Dragasevic Miskovic , Tijana Djukic , Vladimir S. Kostic and Mirjana B. Popovic
Abstract
The purpose of this paper is to emphasize the importance of in-air movement besides on-surface movement for handwriting analysis. The proposed method uses a classification of drawing healthy subjects and subjects with Parkinson’s disease, according to their on-surface and in-air handwriting parameters during their writing on a graphical tablet. Experimental results on real data sets demonstrate that the highest accuracy of subject’s classification was obtained by combining both on-surface and in-air kinematic parameters.
Author Statement
Research funding: The Ministry of Education, Science and Technological Development of the Republic of Serbia financially supported this project (#175016).
Conflict of interest: Authors state no conflict of interest.
Informed consent: All subjects signed an informed consent form.
Ethical approval: The research related to human use complied with all the relevant national regulations and institutional policies and was performed in accordance to the tenets of the Declaration of Helsinki and has been approved by the author’s institutional review board or equivalent committee.
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Articles in the same Issue
- Frontmatter
- Review
- The peripheral cannulas in extracorporeal life support
- Research articles
- Determination of optimal positive end-expiratory pressure based on respiratory compliance and electrical impedance tomography: a pilot clinical comparative trial
- Simulation of personalised haemodynamics by various mounting positions of a prosthetic valve using computational fluid dynamics
- Recovery of signal loss adopting the residual bootstrap method in fetal heart rate dynamics
- Optimal level and order detection in wavelet decomposition for PCG signal denoising
- Simple gastric motility assessment method with a single-channel electrogastrogram
- Analysis of on-surface and in-air movement in handwriting of subjects with Parkinson’s disease and atypical parkinsonism
- Wavelet-enhanced convolutional neural network: a new idea in a deep learning paradigm
- Digital microscopic evaluation of vertical marginal discrepancies of CAD/CAM fabricated zirconia cores
- Modelling the degree of porosity of the ceramic surface intended for implants
- How Hedstrom files fail during clinical use? A retrieval study based on SEM, optical microscopy and micro-XCT analysis
- A novel measurement strategy to evaluate the human head as a transition medium for inductive ear-to-ear communication
- Short communication
- Force plates may be used for dynamic analyses of endoprostheses explantation procedures