The role of wrist-worn technology in the management of Parkinson’s disease in daily life: A narrative review

Peng Li, Richard van Wezel, Fei He, Yifan Zhao, Ying Wang

Research output: Contribution to journalReview articlepeer-review

2 Citations (Scopus)
21 Downloads (Pure)

Abstract

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.

Original languageEnglish
Article number1135300
Number of pages13
JournalFrontiers in Neuroinformatics
Volume17
Early online date12 Apr 2023
DOIs
Publication statusE-pub ahead of print - 12 Apr 2023

Bibliographical note

This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

Keywords

  • Parkinson’s disease
  • wrist-worn
  • sensor
  • daily life
  • monitoring
  • management

ASJC Scopus subject areas

  • Neuroscience (miscellaneous)
  • Biomedical Engineering
  • Computer Science Applications

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