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Nine-Axis Sensor for Athlete Physical Training Load Characteristics
In order to understand the characteristic data of athletes' training load, a method based on nine-axis sensor was proposed. Twenty-seven male college athletes were tested twice with a time interval of more than 48 hours. In part 1, participants take the 1 Repetition Maximum (1RM) test. The resu...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8783727/ https://www.ncbi.nlm.nih.gov/pubmed/35106061 http://dx.doi.org/10.1155/2022/1538331 |
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author | Liang, Meifu Zhao, Ningning Li, Yamei |
author_facet | Liang, Meifu Zhao, Ningning Li, Yamei |
author_sort | Liang, Meifu |
collection | PubMed |
description | In order to understand the characteristic data of athletes' training load, a method based on nine-axis sensor was proposed. Twenty-seven male college athletes were tested twice with a time interval of more than 48 hours. In part 1, participants take the 1 Repetition Maximum (1RM) test. The results show that maximum strength is one of the basic factors to develop the output power of athletes. In the process of skeletal muscle contraction, the curve of speed, force, and power is closely related. When the external load is 10%∼70%, the average power increases with the increase in the average force, it increases with the decrease in the average speed, and at 70%1RM, the average power reaches the peak and then decreases at an inflection point. It is proved that the accurate weight ratio of strength training is the basis of winning athletes, the focus of high level physical coach, and the premise of scientific sports training. |
format | Online Article Text |
id | pubmed-8783727 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Hindawi |
record_format | MEDLINE/PubMed |
spelling | pubmed-87837272022-01-31 Nine-Axis Sensor for Athlete Physical Training Load Characteristics Liang, Meifu Zhao, Ningning Li, Yamei Contrast Media Mol Imaging Research Article In order to understand the characteristic data of athletes' training load, a method based on nine-axis sensor was proposed. Twenty-seven male college athletes were tested twice with a time interval of more than 48 hours. In part 1, participants take the 1 Repetition Maximum (1RM) test. The results show that maximum strength is one of the basic factors to develop the output power of athletes. In the process of skeletal muscle contraction, the curve of speed, force, and power is closely related. When the external load is 10%∼70%, the average power increases with the increase in the average force, it increases with the decrease in the average speed, and at 70%1RM, the average power reaches the peak and then decreases at an inflection point. It is proved that the accurate weight ratio of strength training is the basis of winning athletes, the focus of high level physical coach, and the premise of scientific sports training. Hindawi 2022-01-15 /pmc/articles/PMC8783727/ /pubmed/35106061 http://dx.doi.org/10.1155/2022/1538331 Text en Copyright © 2022 Meifu Liang et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Liang, Meifu Zhao, Ningning Li, Yamei Nine-Axis Sensor for Athlete Physical Training Load Characteristics |
title | Nine-Axis Sensor for Athlete Physical Training Load Characteristics |
title_full | Nine-Axis Sensor for Athlete Physical Training Load Characteristics |
title_fullStr | Nine-Axis Sensor for Athlete Physical Training Load Characteristics |
title_full_unstemmed | Nine-Axis Sensor for Athlete Physical Training Load Characteristics |
title_short | Nine-Axis Sensor for Athlete Physical Training Load Characteristics |
title_sort | nine-axis sensor for athlete physical training load characteristics |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8783727/ https://www.ncbi.nlm.nih.gov/pubmed/35106061 http://dx.doi.org/10.1155/2022/1538331 |
work_keys_str_mv | AT liangmeifu nineaxissensorforathletephysicaltrainingloadcharacteristics AT zhaoningning nineaxissensorforathletephysicaltrainingloadcharacteristics AT liyamei nineaxissensorforathletephysicaltrainingloadcharacteristics |