Literature DB >> 31205628

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

J A Batsis1, G G Boateng2, L M Seo3, C L Petersen4, K L Fortuna5, E V Wechsler6, R J Peterson7, S B Cook8, D Pidgeon9, R S Dokko7, R J Halter6, D F Kotz7.   

Abstract

Resistance exercise bands are a core component of any physical activity strengthening program. Strength training can mitigate the development of sarcopenia, the loss of muscle mass or strength and function with aging. Yet, the adherence of such behavioral exercise strategies in a home-based setting are fraught with issues of monitoring and compliance. Our group developed a Bluetooth-enabled resistance exercise band capable of transmitting data to an open-source platform. In this work, we developed an application to capture this information in real-time, and conducted three usability studies in two mixed-aged groups of participants (n=6 each) and a group of older adults with obesity participating in a weight-loss intervention (n=20). The system was favorable, acceptable and provided iterative information that could assist in future deployment on ubiquitous platforms. Our formative work provides the foundation to deliver home-based monitoring interventions in a high-risk, older adult population.

Entities:  

Keywords:  Application; mHealth; older adult; resistance exercise band; sarcopenia

Year:  2019        PMID: 31205628      PMCID: PMC6570823          DOI: 10.5281/zenodo

Source DB:  PubMed          Journal:  World Acad Sci Eng Technol


  4 in total

1.  Deep-Learning-Based Hemoglobin Concentration Prediction and Anemia Screening Using Ultra-Wide Field Fundus Images.

Authors:  Xinyu Zhao; Lihui Meng; Hao Su; Bin Lv; Chuanfeng Lv; Guotong Xie; Youxin Chen
Journal:  Front Cell Dev Biol       Date:  2022-05-19

2.  Usability Assessment of a Bluetooth-Enabled Resistance Exercise Band Among Young Adults.

Authors:  Lillian M Seo; Curtis L Petersen; Ryan J Halter; David F Kotz; Karen L Fortuna; John A Batsis
Journal:  Health Technol (Berl)       Date:  2021-04-30

3.  Interoception Primes Emotional Processing: Multimodal Evidence from Neurodegeneration.

Authors:  Paula C Salamone; Agustina Legaz; Lucas Sedeño; Sebastián Moguilner; Matías Fraile-Vazquez; Cecilia Gonzalez Campo; Sol Fittipaldi; Adrián Yoris; Magdalena Miranda; Agustina Birba; Agostina Galiani; Sofía Abrevaya; Alejandra Neely; Miguel Martorell Caro; Florencia Alifano; Roque Villagra; Florencia Anunziata; Maira Okada de Oliveira; Ricardo M Pautassi; Andrea Slachevsky; Cecilia Serrano; Adolfo M García; Agustín Ibañez
Journal:  J Neurosci       Date:  2021-04-07       Impact factor: 6.167

4.  Using Natural Language Processing and Sentiment Analysis to Augment Traditional User-Centered Design: Development and Usability Study.

Authors:  Curtis Lee Petersen; Ryan Halter; David Kotz; Lorie Loeb; Summer Cook; Dawna Pidgeon; Brock C Christensen; John A Batsis
Journal:  JMIR Mhealth Uhealth       Date:  2020-08-07       Impact factor: 4.773

  4 in total

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