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The Cloud FIBER-FIT Model for Physical Fitness Check-Up
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 co...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Wolters Kluwer - Medknow
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10246596/ https://www.ncbi.nlm.nih.gov/pubmed/37292442 http://dx.doi.org/10.4103/jmss.jmss_156_21 |
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author | Rakpongsiri, Kedsara Rakpongsiri, Pornchai |
author_facet | Rakpongsiri, Kedsara Rakpongsiri, Pornchai |
author_sort | Rakpongsiri, Kedsara |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-10246596 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Wolters Kluwer - Medknow |
record_format | MEDLINE/PubMed |
spelling | pubmed-102465962023-06-08 The Cloud FIBER-FIT Model for Physical Fitness Check-Up Rakpongsiri, Kedsara Rakpongsiri, Pornchai J Med Signals Sens Original Article 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. Wolters Kluwer - Medknow 2023-03-27 /pmc/articles/PMC10246596/ /pubmed/37292442 http://dx.doi.org/10.4103/jmss.jmss_156_21 Text en Copyright: © 2023 Journal of Medical Signals & Sensors https://creativecommons.org/licenses/by-nc-sa/4.0/This is an open access journal, and articles are distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 License, which allows others to remix, tweak, and build upon the work non-commercially, as long as appropriate credit is given and the new creations are licensed under the identical terms. |
spellingShingle | Original Article Rakpongsiri, Kedsara Rakpongsiri, Pornchai The Cloud FIBER-FIT Model for Physical Fitness Check-Up |
title | The Cloud FIBER-FIT Model for Physical Fitness Check-Up |
title_full | The Cloud FIBER-FIT Model for Physical Fitness Check-Up |
title_fullStr | The Cloud FIBER-FIT Model for Physical Fitness Check-Up |
title_full_unstemmed | The Cloud FIBER-FIT Model for Physical Fitness Check-Up |
title_short | The Cloud FIBER-FIT Model for Physical Fitness Check-Up |
title_sort | cloud fiber-fit model for physical fitness check-up |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10246596/ https://www.ncbi.nlm.nih.gov/pubmed/37292442 http://dx.doi.org/10.4103/jmss.jmss_156_21 |
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