帕金森病（Parkinson’s disease，PD）是第二大神经退行性疾病，慢性进行性损害患者的运动功能，使其 生活质量大幅下降。目前，PD的早期精确诊断面临挑战，也缺乏监测疾病进展、评估治疗疗效的生物标志 物。采集并分析患者手写文字大小、速度、加速度、流畅性、压力等运动学和动力学指标有助于早期识别 PD、及时监测疾病进展、评估治疗疗效。随着手写分析技术的不断发展和研究的深入，该方法有望成为PD 诊治和随访中的重要辅助工具。

Parkinson’s disease (PD) is the second most common neurodegenerative disorder, chronically and progressively impairing patients’motor functions and significantly reducing their quality of life. At present, the accurate early diagnosis of PD faces challenges, and there is a lack of biomarkers for monitoring disease progression and assessing treatment efficacy. Collecting and analyzing kinematic and dynamic indicators of patients’handwriting, such as size, speed, acceleration, fluency, and pressure, can help in the early recognition of PD, timely monitoring of disease progression, and assessment of treatment efficacy. With the continuous development of handwriting analysis technology and deepening research, this method is expected to become an important adjunct tool in the diagnosis, treatment, and follow-up of PD.