The Smartwatch Solution for Parkinson’s Disease Management

Published on April 12, 2023

Parkinson’s disease is a complex condition that affects countless individuals worldwide, presenting unique challenges in diagnosis and management. Similar to how a handy GPS keeps us on track during a journey, wrist-worn smartwatches have emerged as an exciting tool in the Parkinson’s research field. By providing long-term monitoring of daily activities, these devices offer valuable insights into the motor symptoms and sleep disorders experienced by patients. This review explores the extensive data from 39 articles across public databases, revealing that accelerometers are the go-to sensors for capturing movement patterns in people with Parkinson’s. While there is limited research on disease progression, automatic assessments based on patient-provided information show promise for improving management strategies. With its convenient and user-friendly design, wrist-worn sensing technology offers a potential solution to assist patients in navigating the challenges of Parkinson’s disease. To delve deeper into this fascinating study, follow the link below.

Parkinson’s disease (PD) is a neurodegenerative disorder that affects millions of people worldwide. Its slow and heterogeneous progression over time makes timely diagnosis challenging. Wrist-worn digital devices, particularly smartwatches, are currently the most popular tools in the PD research field due to their convenience for long-term daily life monitoring. While wrist-worn sensing devices have garnered significant interest, their value for daily practice is still unclear. In this narrative review, we survey demographic, clinical and technological information from 39 articles across four public databases. Wrist-worn technology mainly monitors motor symptoms and sleep disorders of patients in daily life. We find that accelerometers are the most commonly used sensors to measure the movement of people living with PD. There are few studies on monitoring the disease progression compared to symptom classification. We conclude that wrist-worn sensing technology might be useful to assist in the management of PD through an automatic assessment based on patient-provided daily living information.

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