Development of sarcopenia assessment system using balance and gait ability: Preliminary tests in the elderly

Author:

Seo Shinbae1,Kwon Taekyu23,Shin Miyeon4,Jeong Hochoon5,Yu Mi23,Jeong Jongkyun6,Yu Changho47

Affiliation:

1. Department of Healthcare Engineering, Jeonbuk National University, Jeonju, Korea

2. Division of Biomedical Engineering, Jeonbuk National University, Jeonju, Korea

3. Research Center of Healthcare and Welfare Instrument for the Aged, Jeonbuk National University, Jeonju, Korea

4. Department of Energy Storage/Conversion Engineering of Graduate School (BK21 FOUR), Jeonbuk National University, Jeonju, Korea

5. Cybermedic, Co., Ltd., Gwangju, Korea

6. Bukeong Hightech, Co., Gunsan, Korea

7. Division of Convergence Technology Engineering, Jeonbuk National University, Jeonju, Korea

Abstract

BACKGROUND: Sarcopenia is a disease that has recently become an issue, and research on various assessment methods is being conducted based on guidelines published for the diagnosis of sarcopenia. However, most assessments are complex because the inspector must measure each device to collect data, or the elderly must directly manipulate and get assessment. OBJECTIVE: In this study, we developed an sarcopenia assessment system to assess and analyze various sarcopenia in one system. METHODS: The system consists of a scaffold sensor for balance ability assessment, a chair sensor for assessing the walking and lower extremity function, and a hand-held dynamometer for assessing grip strength. The balance pad consists of 326 FSR (Force Sensitive Resistor) sensors, and the accuracy is 10 kg/± 10%. The chair sensor applied four weight sensors (Loadcells) to the corner of the hip of the chair, and the accuracy is up to 150 kg ± 10%, and the resolution is 1 kg ± 10%. All data is transmitted to the software through a USB cable to assess sarcopenia through data analysis. The software has built a database to manage user-specific data. The assessment items consisted of “Short Physical Performance Battery (SPPB) Test” and “Hand Grip Strength Test.” After completion, the software automatically terminates the assessment results and classifies sarcopenia according to the presented reference value. RESULTS: The average value of the total SPPB test scores, including the balance test, gait speed test, and chair stand test, of all participants was 9.06 ± 1.97. The average values of the balance test, gait speed test, and chair stand test scores of all participants were 8.48 ± 2.80 sec (score 3.28 ± 1.23), 1.05 ± 0.26 m/sec (score 3.69 ± 0.79), and 16.05 ± 4.62 sec (score 2.08 ± 1.13). The average value of the hand grip test of all participants was 28.57 ± 2.94 kgf. CONCLUSIONS: A preliminary assessment was conducted on the elderly in their 60 s or older with the developed system, and its performance confirmed that the assessment and result analysis were conducted well without any errors in software or hardware. Future studies intend to verify the reliability and accuracy of the assessment results compared to the existing direct measurement methods. In addition, we would like to conduct a study to establish data on the muscle reduction index by age group of Koreans.

Publisher

IOS Press

Reference15 articles.

1. SARC-F: a symptom score to predict persons with sarcopenia at risk for poor functional outcomes;Malmstrom;Journal of Cachexia, Sarcopenia and Muscle.,2016

2. Associations of sarcopenia definitions, and their components, with the incidence of recurrent falling and fractures: the longitudinal aging study Amsterdam;Schaap;Journal of gerontology: medical sciences.,2018

3. Sarcopenia in asia: consensus report of the asian working group for sarcopenia;Chen;Journal of the American Medical Directors Association.,2014

4. Asian Working Group for Sarcopenia: 2019 consensus update on sarcopenia diagnosis and treatment;Chen;Journal of the American medical directors association.,2020

5. Diagnosis of sarcopenia in primary health care;Won;Journal of Korean Medical Association.,2020

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3