Evidence map›Paper›PMID 29850588›Full record

Trial reportBioMed research international2018

A Comparative Study of EMG Indices in Muscle Fatigue Evaluation Based on Grey Relational Analysis during All-Out Cycling Exercise.

Lejun Wang, Yuting Wang, Aidi Ma, Guoqiang Ma, Yu Ye, Ruijie Li, Tianfeng Lu

Abstract readClinical TrialComparative Study
In one paragraph

Trial report in BioMed research international, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing 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

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

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  15. [Fatigue analysis of upper limb rehabilitation based on surface electromyography signal and motion capture].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2022
    Article
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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.

Lejun WangSport and Health Research Center, Physical Education Department, Tongji University, Shanghai, China.ORCID 0000-0003-4206-8970
Yuting WangSport and Health Research Center, Physical Education Department, Tongji University, Shanghai, China.ORCID 0000-0001-8232-767X
Aidi MaSport and Health Research Center, Physical Education Department, Tongji University, Shanghai, China.
Guoqiang MaPhysical Education and Sports Science Institute of Shanghai, Shanghai 200030, China.
Yu YeSport and Health Research Center, Physical Education Department, Tongji University, Shanghai, China.
Ruijie LiSport and Health Research Center, Physical Education Department, Tongji University, Shanghai, China.
Tianfeng LuSport and Health Research Center, Physical Education Department, Tongji University, Shanghai, China.ORCID 0000-0002-7809-8701

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The increased popularization of cycling has brought an increase in cycling-related injuries, which has been suggested to be associated with muscle fatigue. However, it still remains unclear on the utility of different EMG indices in muscle fatigue evaluation induced by cycling exercise. In this study, ten cyclist volunteers performed a 30-second all-out cycling exercise after a warm-up period. Surface electromyography (sEMG) from vastus lateralis muscle (VL) and power output and cadence were recorded and EMG RMS, MF and MPF based on Fourier Transform, MDF and MNF based on wavelet packet transformation, and C(n) based on Lempel-Ziv complexity algorithm were calculated. Utility of the indices was compared based on the grey rational grade of sEMG indices and power output and cadence. The results suggested that MNF derived from wavelet packet transformation was significantly higher than other EMG indices, indicating the potential application for fatigue evaluation induced by all-out cycling exercise.

Indexed as

AlgorithmsBicyclingElectromyographyExerciseFemaleHumansMaleMuscle FatigueSignal Processing, Computer-AssistedYoung Adult

Identifiers

PMID29850588
PMCPMC5926489

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Registered trials

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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.