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

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.本研究提出一款兼具线上与线下采集能力、用于早期帕金森病（Parkinson’s Disease）检测的伊拉克手绘数据集，该数据集仅依托智能手机完成采集，无需配备数位板、专用手写笔等专业采集设备。本数据集的采集对象涵盖30名健康受试者（男17名、女13名），平均年龄56岁（标准差SD=6.12），以及30名帕金森病患者（PD，男23名、女7名），平均年龄60岁（标准差SD=4.91），所有数据均采集自伊拉克巴比伦省希拉市的马尔詹医院（Marjan Hospital）。受试者需完成多项手绘任务，包括重复绘制椭圆、螺旋线、数字以及阿拉伯语单词书写。本数据集有望助力帕金森病的早期检测，并为推动该病症的认知研究与治疗进展提供支撑。