online-offline Iraquian hand-drawing dataset for early Parkinson’s disease detection

Citation Author(s):: Mohammed F. Allebawi (Technical Institute of Babylon, Al-Furat Al-Awsat Technical University (ATU), Iraq.)

Thameur Dhieb (REGIM-Lab.: REsearch Groups in Intelligent Machines, Enis, University of Sfax, Tunisia.)

Islem Jarraya (REGIM-Lab.: REsearch Groups in Intelligent Machines, Enis, University of Sfax, Tunisia.)

Mohamed Neji (REGIM-Lab.: REsearch Groups in Intelligent Machines, Enis, University of Sfax, Tunisia.)

Nouha Farhat (Laboratory of Neurogenetics, Parkinson’s Disease and Cerebrovascular Disease (LR-12-SP-19), University of Sfax, Tunisia.)

Tarek M. Hamdani (REGIM-Lab.: REsearch Groups in Intelligent Machines, Enis, University of Sfax, Tunisia.)

Mariem Damak (Laboratory of Neurogenetics, Parkinson’s Disease and Cerebrovascular Disease (LR-12-SP-19), University of Sfax, Tunisia.)

Chokri Mhiri (Laboratory of Neurogenetics, Parkinson’s Disease and Cerebrovascular Disease (LR-12-SP-19), University of Sfax, Tunisia.)

Adel M. Alimi (REGIM-Lab.: REsearch Groups in Intelligent Machines, Enis, University of Sfax, Tunisia.)
Submitted by:: Thameur Dhieb
Last updated:: Sat, 08/03/2024 - 16:59
DOI:: 10.21227/3z4w-gq35
Data Format:: *.avi; *.png; *.csv; *.zip

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Categories:

Keywords:

Parkinson’s disease

online-offline hand-drawing

Iraquian

PD patients

healthy controls

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Abstract

We introduce an online-offline Iraquian hand-drawing dataset for early Parkinson’s disease detection, exclusively collected using smartphones, thus eliminating the need for specialized equipment like digitizing tablets and pens. Our dataset comprises data from 30 healthy individuals (17 men, 13 women) with an average age of 56 years (SD = 6.12) and 30 PD patients (23 men, 7 women) with an average age of 60 years (SD = 4.91), gathered at Marjan Hospital in Hilla, Babil Governorate, Iraq. Participants undertook various hand-drawing tasks, including repetitive ellipses, spirals, digits, and Arabic word writing. We anticipate that our dataset will aid in early detection of Parkinson's disease and contribute to advancing understanding and treatment of the condition.