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Related Experiment Video

Updated: Aug 6, 2025

Video Movement Analysis Using Smartphones ViMAS: A Pilot Study

Video Movement Analysis Using Smartphones ViMAS: A Pilot Study

Published on: March 14, 2017

Smartphone accelerometry for quantifying core stability and developing exercise training progressions in people with

Amaya Prat-Luri¹, Pedro Moreno-Navarro¹, Carmen Carpena¹

¹Department of Sport Science, Sports Research Centre, Miguel Hernández University of Elche, Elche, Alicante, Spain.

Multiple Sclerosis and Related Disorders

|March 17, 2023

Summary

This summary is machine-generated.

Smartphone accelerometry reliably measures core stability in people with multiple sclerosis (PwMS). This low-cost tool can guide exercise programs for improved balance and function.

Keywords:

Core stability exercises Exercise progressions Multiple sclerosis Postural control Smartphone accelerometry

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Last Updated: Aug 6, 2025

Video Movement Analysis Using Smartphones ViMAS: A Pilot Study

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Published on: March 14, 2017

Home-Based Monitor for Gait and Activity Analysis

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Published on: August 8, 2019

Evaluation of a Smartphone-based Human Activity Recognition System in a Daily Living Environment

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Published on: December 11, 2015

Area of Science:

Biomedical Engineering
Rehabilitation Science
Neurology

Background:

Core stability exercises are popular for people with multiple sclerosis (PwMS) to improve balance and function.
The effectiveness of these programs is unclear due to a lack of objective core stability measurement.
This study aimed to validate smartphone accelerometers for core stability assessment in PwMS.

Purpose of the Study:

To test the reliability of smartphone accelerometers for quantifying core stability in PwMS.
To explore the potential for developing exercise progressions based on objective data.
To provide a low-cost, accessible method for monitoring core stability.

Main Methods:

Twenty participants with multiple sclerosis (MS) performed various core stability exercises (bridges, bird-dog).
Lumbopelvic acceleration was measured using smartphone accelerometers across two sessions.
Intraclass correlation coefficient (ICC), SEM, and MDC were used to assess reliability.

Main Results:

Good to excellent reliability (ICC: 0.85-0.96) was found for lumbopelvic acceleration in 10 out of 12 exercises.
Low standard error of measurement (SEM: 7.8%-19.2%) and minimal detectable change (MDC: 21.6%-53.2%) were observed.
No significant learning effect was detected between test-retest sessions.

Conclusions:

Smartphone accelerometry is a reliable, portable, and cost-effective tool for objectively tracking core stability in PwMS.
Short/long bridges and three-point bird-dog exercises are feasible for assessment.
Findings support the use of this technology to guide core stability exercise prescription for PwMS.