Enhancing Parkinson's Disease Management through Automatic Personalized Assistive Systems

As the global population ages, chronic diseases such as Parkinson's disease (PD) are on the rise, placing significant strain on healthcare systems. This paper presents a conceptual framework for automatic personalized assistive systems---integrating wearable sensors, mobile apps, and machine learning---to enhance PD management. These systems aim to deliver real-time interventions and tailored treatment plans to address the complex symptoms of PD. Successfully addressing challenges such as user acceptance and technical reliability could improve patients' quality of life and alleviate healthcare burdens.