Evidence map›Paper›PMID 34811406›Full record

ArticleScientific reports2021

Retentive capacity of power output and linear versus non-linear mapping of power loss in the isotonic muscular endurance test.

Hong-Qi Xu, Yong-Tai Xue, Zi-Jian Zhou, Koon Teck Koh, Xin Xu, Ji-Peng Shi, Shou-Wei Zhang, Xin Zhang, Jing Cai

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.1field-weighted citation impact, top 59% of its field
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

4 citing papers in PubMed, 4 citations in OpenAlex.

  1. [Research on a muscle fatigue quantification based on an improved critical power model].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2026
    Article
  2. Article
  3. Review
  4. 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

9 authors at 5 institutions in 2 countries.

Hong-Qi XuResearch Center of Sports and Health Science, School of Sports Science and Physical Education, Northeast Normal University, Changchun, Jilin Province, China.
Yong-Tai XueResearch Center of Sports and Health Science, School of Sports Science and Physical Education, Northeast Normal University, Changchun, Jilin Province, China.
Zi-Jian ZhouResearch Field of Medical Instruments and Bioinformation Processing, College of Instrumentation and Electrical Engineering, Jilin University, Changchun, Jilin Province, China.
Koon Teck KohPhysical Education and Sports Science Academic Group, National Institute of Education, Nanyang Technological University, Singapore, Singapore.
Xin XuResearch Field of Representation Learning On Graph and Date Mining, School of Information Science and Technology, Northeast Normal University, Changchun, Jilin Province, China.
Ji-Peng ShiResearch Center of Sports and Health Science, School of Sports Science and Physical Education, Northeast Normal University, Changchun, Jilin Province, China. shijp2006@163.com.
Shou-Wei ZhangResearch Center of Sports and Health Science, School of Sports Science and Physical Education, Northeast Normal University, Changchun, Jilin Province, China.
Xin ZhangErgonomics Standardization Research Field, China National Institute of Standardization, Beijing, China.
Jing CaiResearch Field of Medical Instruments and Bioinformation Processing, College of Instrumentation and Electrical Engineering, Jilin University, Changchun, Jilin Province, China.
Northeast Normal University · CNChina National Institute of Standardization · CNJilin Medical University · CNJilin University · CNNanyang Technological University · SG

Funding

Fundamental Research Funds for the Central Universities 2412020XK005National Key R&D Program of China 2017YFF0206601National Key R&D Program of China 2018YFF0300806
6 · The paper itself

Abstract

The limit of dynamic endurance during repetitive contractions has been referred to as the point of muscle fatigue, which can be measured by mechanical and electrophysiological parameters combined with subjective estimates of load tolerance for revealing the human real-world capacity required to work continuously. In this study, an isotonic muscular endurance (IME) testing protocol under a psychophysiological fatigue criterion was developed for measuring the retentive capacity of the power output of lower limb muscles. Additionally, to guide the development of electrophysiological evaluation methods, linear and non-linear techniques for creating surface electromyography (sEMG) models were compared in terms of their ability to estimate muscle fatigue. Forty healthy college-aged males performed three trials of an isometric peak torque test and one trial of an IME test for the plantar flexors and knee and hip extensors. Meanwhile, sEMG activity was recorded from the medial gastrocnemius, lateral gastrocnemius, vastus medialis, rectus femoris, vastus lateralis, gluteus maximus, and biceps femoris of the right leg muscles. Linear techniques (amplitude-based parameters, spectral parameters, and instantaneous frequency parameters) and non-linear techniques (a multi-layer perception neural network) were used to predict the time-dependent power output during dynamic contractions. Two mechanical manifestations of muscle fatigue were observed in the IME tests, including power output reduction between the beginning and end of the test and time-dependent progressive power loss. Compared with linear mapping (linear regression) alone or a combination of sEMG variables, non-linear mapping of power loss during dynamic contractions showed significantly higher signal-to-noise ratios and correlation coefficients between the actual and estimated power output. Muscular endurance required in real-world activities can be measured by considering the amount of work produced or the activity duration via the recommended IME testing protocol under a psychophysiological termination criterion. Non-linear mapping techniques provide more powerful mapping of power loss compared with linear mapping in the IME testing protocol.

Indexed as

Biomechanical PhenomenaElectromyographyElectrophysiological PhenomenaHealthy VolunteersHipHumansKneeKnee JointLegMaleMuscle ContractionMuscle FatigueMuscle, SkeletalPhysical EnduranceTorqueYoung Adult

Identifiers

PMID34811406
PMCPMC8608821
OpenAlexW3216125644

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.