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Pedometers and Accelerometers in Multiple Sclerosis: Current and New Applications.

Jeffer Eidi Sasaki1, Gabriel Felipe Arantes Bertochi1, Joilson Meneguci1

  • 1Graduate Program in Physical Education, Federal University of Triangulo Mineiro, Uberaba 38025-180, MG, Brazil.

International Journal of Environmental Research and Public Health
|September 23, 2022
PubMed
Summary

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Effects of Isotemporal Substitution Analysis of Sedentary Behavior, Sleep, and Physical Activity on Physical Performance in Older Adults.

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Motion sensors like pedometers and accelerometers are valuable tools for assessing physical activity and sedentary behavior in multiple sclerosis (MS) research. Future applications may include using this data as biomarkers for disease progression and personalized care.

Area of Science:

  • Neurology
  • Rehabilitation Medicine
  • Biomedical Engineering

Background:

  • Pedometers and accelerometers are widely used in multiple sclerosis (MS) research to evaluate physical behaviors.
  • Current applications focus on measuring steps and classifying physical activity intensity and sedentary behavior using cut-point methods.

Purpose of the Study:

  • To review the current validity and applications of motion sensors in MS research.
  • To explore new opportunities for using sensor data as biomarkers for disease severity and progression.
  • To discuss strategies for improved physical behavior assessment and personalized care in MS.

Main Methods:

  • Review of existing literature on pedometer and accelerometer use in multiple sclerosis.
  • Discussion of technological advancements and their impact on data collection and analysis.
Keywords:
assessmentmultiple sclerosisphysical activitysedentary behaviorwearable technology

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  • Exploration of potential biomarker applications and personalized care strategies.
  • Main Results:

    • Established validity of pedometers and accelerometers for assessing physical activity and sedentary behavior in MS.
    • Emerging opportunities for utilizing sensor data as objective biomarkers of disease progression.
    • Potential for enhanced personalized care through improved physical behavior monitoring.

    Conclusions:

    • Motion sensor technology offers significant potential beyond traditional physical behavior assessment in MS.
    • Data from pedometers and accelerometers can serve as valuable biomarkers for disease management.
    • Future research should focus on leveraging these technologies for personalized interventions and clinical practice in MS.