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Development and Evaluation of a Full-Waveform Resistance Training Monitoring System Based on a Linear Position Transducer

Recent advances in training monitoring are centered on the statistical indicators of the concentric phase of the movement. However, those studies lack consideration of the integrity of the movement. Moreover, training performance evaluation needs valid data on the movement. Thus, this study presents...

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Autores principales: Lu, Changda, Zhang, Kaiyu, Cui, Yixiong, Tian, Yinsheng, Wang, Siyao, Cao, Jie, Shen, Yanfei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10007005/
https://www.ncbi.nlm.nih.gov/pubmed/36904637
http://dx.doi.org/10.3390/s23052435
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author Lu, Changda
Zhang, Kaiyu
Cui, Yixiong
Tian, Yinsheng
Wang, Siyao
Cao, Jie
Shen, Yanfei
author_facet Lu, Changda
Zhang, Kaiyu
Cui, Yixiong
Tian, Yinsheng
Wang, Siyao
Cao, Jie
Shen, Yanfei
author_sort Lu, Changda
collection PubMed
description Recent advances in training monitoring are centered on the statistical indicators of the concentric phase of the movement. However, those studies lack consideration of the integrity of the movement. Moreover, training performance evaluation needs valid data on the movement. Thus, this study presents a full-waveform resistance training monitoring system (FRTMS) as a whole-movement-process monitoring solution to acquire and analyze the full-waveform data of resistance training. The FRTMS includes a portable data acquisition device and a data processing and visualization software platform. The data acquisition device monitors the barbell’s movement data. The software platform guides users through the acquisition of training parameters and provides feedback on the training result variables. To validate the FRTMS, we compared the simultaneous measurements of 30–90% 1RM of Smith squat lifts performed by 21 subjects with the FRTMS to similar measurements obtained with a previously validated three-dimensional motion capture system. Results showed that the FRTMS produced practically identical velocity outcomes, with a high Pearson’s correlation coefficient, intraclass correlation coefficient, and coefficient of multiple correlations and a low root mean square error. We also studied the applications of the FRTMS in practical training by comparing the training results of a six-week experimental intervention with velocity-based training (VBT) and percentage-based training (PBT). The current findings suggest that the proposed monitoring system can provide reliable data for refining future training monitoring and analysis.
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spelling pubmed-100070052023-03-12 Development and Evaluation of a Full-Waveform Resistance Training Monitoring System Based on a Linear Position Transducer Lu, Changda Zhang, Kaiyu Cui, Yixiong Tian, Yinsheng Wang, Siyao Cao, Jie Shen, Yanfei Sensors (Basel) Article Recent advances in training monitoring are centered on the statistical indicators of the concentric phase of the movement. However, those studies lack consideration of the integrity of the movement. Moreover, training performance evaluation needs valid data on the movement. Thus, this study presents a full-waveform resistance training monitoring system (FRTMS) as a whole-movement-process monitoring solution to acquire and analyze the full-waveform data of resistance training. The FRTMS includes a portable data acquisition device and a data processing and visualization software platform. The data acquisition device monitors the barbell’s movement data. The software platform guides users through the acquisition of training parameters and provides feedback on the training result variables. To validate the FRTMS, we compared the simultaneous measurements of 30–90% 1RM of Smith squat lifts performed by 21 subjects with the FRTMS to similar measurements obtained with a previously validated three-dimensional motion capture system. Results showed that the FRTMS produced practically identical velocity outcomes, with a high Pearson’s correlation coefficient, intraclass correlation coefficient, and coefficient of multiple correlations and a low root mean square error. We also studied the applications of the FRTMS in practical training by comparing the training results of a six-week experimental intervention with velocity-based training (VBT) and percentage-based training (PBT). The current findings suggest that the proposed monitoring system can provide reliable data for refining future training monitoring and analysis. MDPI 2023-02-22 /pmc/articles/PMC10007005/ /pubmed/36904637 http://dx.doi.org/10.3390/s23052435 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Lu, Changda
Zhang, Kaiyu
Cui, Yixiong
Tian, Yinsheng
Wang, Siyao
Cao, Jie
Shen, Yanfei
Development and Evaluation of a Full-Waveform Resistance Training Monitoring System Based on a Linear Position Transducer
title Development and Evaluation of a Full-Waveform Resistance Training Monitoring System Based on a Linear Position Transducer
title_full Development and Evaluation of a Full-Waveform Resistance Training Monitoring System Based on a Linear Position Transducer
title_fullStr Development and Evaluation of a Full-Waveform Resistance Training Monitoring System Based on a Linear Position Transducer
title_full_unstemmed Development and Evaluation of a Full-Waveform Resistance Training Monitoring System Based on a Linear Position Transducer
title_short Development and Evaluation of a Full-Waveform Resistance Training Monitoring System Based on a Linear Position Transducer
title_sort development and evaluation of a full-waveform resistance training monitoring system based on a linear position transducer
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10007005/
https://www.ncbi.nlm.nih.gov/pubmed/36904637
http://dx.doi.org/10.3390/s23052435
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