Suppr超能文献

用于体能检查的云纤维适配模型。

The Cloud FIBER-FIT Model for Physical Fitness Check-Up.

作者信息

Rakpongsiri Kedsara, Rakpongsiri Pornchai

机构信息

Department of Physical Therapy, Faculty of Allied Health Science, Thammasat University (Rangsit Campus), Pathumtani, Thailand.

Department of Advance Technical Engineering, Western Digital Corporation (Thailand), Ayutthaya, Thailand.

出版信息

J Med Signals Sens. 2023 Mar 27;13(1):49-56. doi: 10.4103/jmss.jmss_156_21. eCollection 2023 Jan-Mar.

Abstract

BACKGROUND

Physical fitness refers to the ability of the body to perform tasks or do one of the physical activities well without being tired quickly. The objective of this research is to develop a physical fitness instrument for measuring oneself heart rate, grip strength, and reaction time that could develop a model for a self-check-up on physical fitness which helps to plan the improvement for health which is called the "FIBER-FIT" model.

METHODS

The physical fitness measuring instrument is composed of three modules; (1) heart rate meter module using a green light emitting diode and a photosensor, (2) grip strength meter module using a load cell transducer, and (3) reaction time meter module using a computer graphical function. All modules are controlled by computer programming, LabVIEW. The program could measure the physical fitness parameters in real-time and display the results in graphs, values on a computer monitor. The data could be recorded on cloud storage and could be retrieved for viewing and analyzing from anywhere via the internet.

RESULTS

Getting the "FIBER-FIT" model, a physical fitness measuring instrument to evaluate and analyze the results in real time. Overall performance test results were comparable to the standard commonly used instruments. The satisfaction survey scores from the participants were 33.33% and 66.67% for the highest level and the high level, respectively.

CONCLUSIONS

The Cloud "FIBER-FIT" model is recommended for physical fitness applications for health improvement.

摘要

背景

身体素质是指身体能够完成任务或出色地进行一项体育活动而不会很快感到疲劳的能力。本研究的目的是开发一种身体素质测量仪器,用于测量个人的心率、握力和反应时间,从而建立一个用于自我健康检查的模型,以帮助规划健康改善方案,即“纤维健康”模型。

方法

身体素质测量仪器由三个模块组成;(1)使用绿色发光二极管和光电传感器的心率计模块,(2)使用称重传感器的握力计模块,(3)使用计算机图形功能的反应时间计模块。所有模块均由计算机编程LabVIEW控制。该程序可以实时测量身体素质参数,并在计算机显示器上以图表、数值形式显示结果。数据可以记录在云存储中,并可以通过互联网从任何地方检索以进行查看和分析。

结果

获得了“纤维健康”模型,一种用于实时评估和分析结果的身体素质测量仪器。整体性能测试结果与常用标准仪器相当。参与者的满意度调查得分中,最高水平和高水平分别为33.33%和66.67%。

结论

推荐云“纤维健康”模型用于改善健康的身体素质应用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/235d/10246596/7e04e1005501/JMSS-13-49-g001.jpg

相似文献

1
The Cloud FIBER-FIT Model for Physical Fitness Check-Up.
J Med Signals Sens. 2023 Mar 27;13(1):49-56. doi: 10.4103/jmss.jmss_156_21. eCollection 2023 Jan-Mar.
2
Fit to Perform: A Profile of Higher Education Music Students' Physical Fitness.
Front Psychol. 2020 Mar 5;11:298. doi: 10.3389/fpsyg.2020.00298. eCollection 2020.
4
Relative Contribution among Physical Fitness Factors Contributing to the Performance of Modern Pentathlon.
Int J Environ Res Public Health. 2021 May 3;18(9):4880. doi: 10.3390/ijerph18094880.
7
Physical fitness in older people with ID-Concept and measuring instruments: a review.
Res Dev Disabil. 2010 Sep-Oct;31(5):1027-38. doi: 10.1016/j.ridd.2010.04.012. Epub 2010 May 21.
9
Physical Fitness Tests and Type 2 Diabetes Among Japanese: A Longitudinal Study From the Niigata Wellness Study.
J Epidemiol. 2019 Apr 5;29(4):139-146. doi: 10.2188/jea.JE20170280. Epub 2018 Jul 28.
10
Design of Cloud Storage-Oriented Sports Physical Fitness Monitoring System.
Comput Intell Neurosci. 2022 Jun 10;2022:1889381. doi: 10.1155/2022/1889381. eCollection 2022.

本文引用的文献

1
Wearable Device for Yogic Breathing with Real-Time Heart Rate and Posture Monitoring.
J Med Signals Sens. 2021 Oct 20;11(4):253-261. doi: 10.4103/jmss.JMSS_54_20. eCollection 2021 Oct-Dec.
2
How is exercise different from physical activity? A concept analysis.
Nurs Forum. 2019 Jan;54(1):45-52. doi: 10.1111/nuf.12296. Epub 2018 Oct 17.
3
Energy cost and muscular activity required for leg swing during walking.
J Appl Physiol (1985). 2005 Jul;99(1):23-30. doi: 10.1152/japplphysiol.01190.2004.
4
Acquisition of intellectual and perceptual-motor skills.
Annu Rev Psychol. 2001;52:453-70. doi: 10.1146/annurev.psych.52.1.453.

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验