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Development and Usability Assessment of a Connected Resistance Exercise Band Application for Strength-Monitoring.

J A Batsis¹, G G Boateng², L M Seo³

¹Dartmouth-Hitchcock, Geisel School of Medicine at Dartmouth College, and The Dartmouth Institute for Health Policy & Clinical Practice, Lebanon, NH, 03756 USA.

World Academy of Science, Engineering and Technology

|June 18, 2019

Summary

This study introduces a Bluetooth-enabled resistance band and app to monitor home-based strength training. The system showed promise for improving adherence and supporting older adults in exercise programs.

Keywords:

Application mHealth older adult resistance exercise band sarcopenia

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Area of Science:

Gerontology
Biomedical Engineering
Rehabilitation Science

Background:

Sarcopenia, age-related muscle loss, is a significant health concern.
Home-based strength training adherence is challenging due to monitoring and compliance issues.
Resistance exercise bands are crucial for strengthening programs.

Purpose of the Study:

To develop and evaluate a novel system for real-time monitoring of resistance exercise bands.
To assess the usability and acceptability of a Bluetooth-enabled resistance band system in diverse age groups.
To lay the groundwork for home-based monitoring interventions for older adults.

Main Methods:

Development of a Bluetooth-enabled resistance band transmitting data to an open-source platform.
Creation of a dedicated application for real-time data capture.
Conducting three usability studies with mixed-aged groups (n=6 each) and older adults with obesity (n=20).

Main Results:

The developed system was found to be favorable and acceptable across usability studies.
The system provided iterative information, suggesting potential for future deployment.
Formative work supports home-based monitoring for high-risk older adult populations.

Conclusions:

The Bluetooth-enabled resistance band and application system offers a viable solution for monitoring home-based strength training.
This technology has the potential to improve exercise adherence, particularly in older adults.
Further development can lead to ubiquitous platforms for personalized health interventions.