Literature DB >> 34745771

BandPass: A Bluetooth-Enabled Remote Monitoring Device for Sarcopenia.

Suehayla Mohieldin1, John A Batsis2, Colin M Minor1, Ryan J Halter3, Curtis L Petersen4.   

Abstract

As the United States population ages, managing pathologies that largely affect older adults, including sarcopenia (i.e., loss of muscle mass and strength) represents a significant and growing clinical challenge. In addition to increased rates of sarcopenia with age, its incidence and impact increase after acute illness, increasing the risk of functional decline, institutionalization, or death. Resistance-based exercises promote muscle regeneration and strength and are an advised therapy for such patients. Yet, such therapeutic exercises are normally conducted either under direct clinical oversight or unsupervised by patients at home, where compliance rates are low. The presented device, BandPass, aims to create an integrated force data detection and acquisition system for monitoring and transmitting at-home exercise force data to patients and clinicians. A potentiometer-based sensor was integrated to a resistance exercise band through the use of custom designed electronics, which incorporated Bluetooth Low Energy (BLE) for wireless transmission to a mobile 'app'. A protocol for calibrating the device was developed using a range of loads and validated in static benchtop and dynamic testing. Data from a pilot study with 7 older adults was also collected and analyzed to test the device. BandPass is 94% accurate with a coefficient of variation (CoV) of 4.9% and sensitivity of 150g. The pilot study recorded 147 exercises, allowing for analysis on patients' exercise performances. BandPass was successfully able to measure force continuously over time during exercises, measure longitudinal compliance with exercises, and quantify force continuously over time. A mobile health (mHealth) force-sensing system allows for the remote monitoring of prescribed in-home resistance exercise band programs for at-risk older adults, bridging the gap between clinicians and patients.

Entities:  

Keywords:  Medical device; biomedical engineering; force measurement; mHealth; remote medical sensing; resistance-based training; sarcopenia

Year:  2021        PMID: 34745771      PMCID: PMC8570642          DOI: 10.1109/iccworkshops50388.2021.9473520

Source DB:  PubMed          Journal:  IEEE Int Conf Commun Workshops        ISSN: 2164-7038


  28 in total

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Journal:  Prev Med       Date:  2017-12-28       Impact factor: 4.018

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Review 7.  Systematic Literature Review and Meta-Analysis of the Association of Sarcopenia With Mortality.

Authors:  Shu-Fang Chang; Pei-Ling Lin
Journal:  Worldviews Evid Based Nurs       Date:  2016-02-04       Impact factor: 2.931

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Journal:  J Gerontol A Biol Sci Med Sci       Date:  2017-10-12       Impact factor: 6.053

9.  How Accurate Is Your Activity Tracker? A Comparative Study of Step Counts in Low-Intensity Physical Activities.

Authors:  Parastoo Alinia; Chris Cain; Ramin Fallahzadeh; Armin Shahrokni; Diane Cook; Hassan Ghasemzadeh
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Journal:  Age Ageing       Date:  2014-09-21       Impact factor: 10.668

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