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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...

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Detalles Bibliográficos
Autores principales: Liang, Meifu, Zhao, Ningning, Li, Yamei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
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.
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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
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