| 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. |