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DOI: 10.14569/IJACSA.2020.0110560
PDF

Parkinson’s Disease Diagnosis using Spiral Test on Digital Tablets

Author 1: Najd Al-Yousef
Author 2: Raghad Al- Saikhan
Author 3: Reema Al- Gowaifly
Author 4: Reem Al-Abdullatif
Author 5: Felwa Al-Mutairi
Author 6: Ouiem Bchir

International Journal of Advanced Computer Science and Applications(IJACSA), Volume 11 Issue 5, 2020.

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Abstract: For a proper diagnosis, Parkinson's disease (PD) requires frequent visits to the doctor for physical tests, causing a huge burden on the patient. As PD impairs the handwriting ability, the handwriting pattern can be used as an indicator for PD diagnosis. More specifically, the Static Spiral Test (SST) and the Dynamic Spiral Test (DST), that consists in retracing spirals using digital pen. Such exam can be self-conducted by the patient, and thus it would be convenient and non-time-consuming for both the patient and the medical staff. In this project, we designed and implemented a system that automatically self-aid-diagnoses PD using SST and DST on digital tablets. The system includes two main components, image processing techniques to pre-process and extract the appropriate visual features and machine learning techniques to recognize PD automatically. The conducted experiment showed that the semi-local Edge Histogram Descriptor extracted from DST drawing, and conveyed to a Gaussian Kernel Support Vector Machine outperforms the other considered systems with an accuracy, specificity and sensitivity around 90%.

Keywords: Component; Parkinson's disease (PD); computer-aided diagnosis; pattern recognition

Najd Al-Yousef, Raghad Al- Saikhan, Reema Al- Gowaifly, Reem Al-Abdullatif, Felwa Al-Mutairi and Ouiem Bchir, “Parkinson’s Disease Diagnosis using Spiral Test on Digital Tablets” International Journal of Advanced Computer Science and Applications(IJACSA), 11(5), 2020. http://dx.doi.org/10.14569/IJACSA.2020.0110560

@article{Al-Yousef2020,
title = {Parkinson’s Disease Diagnosis using Spiral Test on Digital Tablets},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2020.0110560},
url = {http://dx.doi.org/10.14569/IJACSA.2020.0110560},
year = {2020},
publisher = {The Science and Information Organization},
volume = {11},
number = {5},
author = {Najd Al-Yousef and Raghad Al- Saikhan and Reema Al- Gowaifly and Reem Al-Abdullatif and Felwa Al-Mutairi and Ouiem Bchir}
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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