Evidence map›Paper›PMID 36904637›Full record

ArticleSensors (Basel, Switzerland)2023

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

Changda Lu, Kaiyu Zhang, Yixiong Cui, Yinsheng Tian, Siyao Wang, Jie Cao, Yanfei Shen

Full text read
In one paragraph

Article in Sensors (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Changda LuAI Sports Engineering Laboratory, School of Sports Engineering, Beijing Sport University, 48 Xinxi Road, Beijing 100084, China.ORCID 0000-0003-0017-3975
Kaiyu ZhangAI Sports Engineering Laboratory, School of Sports Engineering, Beijing Sport University, 48 Xinxi Road, Beijing 100084, China.ORCID 0000-0002-4187-341X
Yixiong CuiAI Sports Engineering Laboratory, School of Sports Engineering, Beijing Sport University, 48 Xinxi Road, Beijing 100084, China.ORCID 0000-0002-1755-9631
Yinsheng TianAI Sports Engineering Laboratory, School of Sports Engineering, Beijing Sport University, 48 Xinxi Road, Beijing 100084, China.
Siyao WangAI Sports Engineering Laboratory, School of Sports Engineering, Beijing Sport University, 48 Xinxi Road, Beijing 100084, China.
Jie CaoKey Laboratory of Biomimetic Robots and Systems, Ministry of Education, School of Optics and Photonics, Beijing Institute of Technology, Beijing 100081, China.
Yanfei ShenAI Sports Engineering Laboratory, School of Sports Engineering, Beijing Sport University, 48 Xinxi Road, Beijing 100084, China.

Funding

National Key R&D Program of China under Grant 2018YFC2000600National Natural Science Foundation of China under Grant 72071018
6 · The paper itself

Abstract

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.

Indexed as

Resistance TrainingArrhythmias, CardiacHumansMonitoring, PhysiologicMuscle StrengthPostureSoftwareTransducersfull-waveform training monitoring systemlinear position transducermovement velocityresistance trainingsystem design

Identifiers

PMID36904637
PMCPMC10007005

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.