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  3. Movement Disorders And Smart Wrist Devices: A Comprehensive Study.
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  3. Movement Disorders And Smart Wrist Devices: A Comprehensive Study.

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Movement Disorders and Smart Wrist Devices: A Comprehensive Study.

Andrea Caroppo1, Andrea Manni1, Gabriele Rescio1

  • 1National Research Council of Italy, Institute for Microelectronics and Microsystems, 73100 Lecce, Italy.

Sensors (Basel, Switzerland)
|January 11, 2025

View abstract on PubMed

Summary
This summary is machine-generated.

Smart wrist devices show promise for monitoring movement disorders like Parkinson's disease. However, challenges remain in their widespread clinical application for various neurological conditions.

Keywords:
Huntington’s diseaseParkinson’s diseaseTourette Syndromeataxiabraceletepilepsyessential tremorgait disordersmovement disordersreviewseizure detectionsmartwatchtremorsunilateral cerebral palsywrist-wornwristband

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Area of Science:

  • Biomedical Engineering
  • Neurology
  • Digital Health

Background:

  • Movement disorders encompass a range of conditions including Parkinson's disease, Huntington's disease, and tremors, characterized by diverse motor and non-motor symptoms.
  • Smart wrist devices (smartwatches, wristbands, bracelets) are increasingly prevalent due to their affordability, user-friendliness, and non-invasiveness compared to other health monitoring sensors.

Purpose of the Study:

  • To systematically review and synthesize research on the utilization of smart wrist devices for monitoring specific movement disorders.
  • To analyze trends, methodologies, and challenges in the application of wearable technology for neurological condition assessment.

Main Methods:

  • A systematic literature review was conducted following PRISMA-S guidelines, analyzing 130 selected studies.
  • Data extraction included device models, user numbers, datasets, data types, algorithmic pipelines, and classification methods.

    • Main Results:

    • A significant increase in research publications over the last decade indicates growing scientific interest in this field.
    • Parkinson's disease is the most frequently studied condition, followed by epilepsy and seizure detection. Other disorders like Huntington's disease and ataxia are less represented.
    • Despite advantages, current smart wrist device applications face challenges in effectively monitoring diverse movement disorders.

    Conclusions:

    • Smart wrist devices offer a potential low-cost, accessible solution for remote monitoring of movement disorders in daily living environments.
    • Further research and technological advancements are needed to overcome existing limitations and fully realize the potential of wearables in neurological care.