Evidence map›Paper›PMID 34938421›Full record

ArticleJournal of healthcare engineering2021

Grey Relational Analysis of Lower Limb Muscle Fatigue and Pedalling Performance Decline of Elite Athletes during a 30-Second All-Out Sprint Cycling Exercise.

Lejun Wang, Hua Yang, Guoqiang Ma, Mingxin Gong, Wenxin Niu, Tianfeng Lu

Open access · hybridAbstract read
In one paragraph

Article in Journal of healthcare engineering, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Review
  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

6 authors at 3 institutions in 1 country.

Lejun WangSport and Health Research CenterPhysical Education Department, Tongji University, Shanghai, China.ORCID 0000-0003-4206-8970
Hua YangSport and Health Research CenterPhysical Education Department, Tongji University, Shanghai, China.
Guoqiang MaShanghai Research Institute of Sports Science, Shanghai 200030, China.ORCID 0000-0002-6714-2105
Mingxin GongSport and Health Research CenterPhysical Education Department, Tongji University, Shanghai, China.
Wenxin NiuShanghai Yangzhi Rehabilitation Hospital, Tongji University School of Medicine, Shanghai 201619, China.ORCID 0000-0003-1349-4524
Tianfeng LuSport and Health Research CenterPhysical Education Department, Tongji University, Shanghai, China.ORCID 0000-0002-7809-8701
Tongji University · CNShanghai Research Institute of Sports Science · CNShanghai Sunshine Rehabilitation Center · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The 30-second all-out sprint cycling exercise is a classical sport capacity evaluation method, which may cause severe lower limb muscle fatigue. However, the relationship between lower limb muscle fatigue and the decline in exercise performance during 30-second sprint cycling remains unclear. In this study, ten cyclists volunteered to participate in a 30-second all-out sprint cycling while power, cadence, and surface electromyographic (EMG) signals of eight lower limb muscles were recorded during the exercise. EMG mean frequency (MNF) of each lower limb muscle group was computed for every 3-second epoch based on wavelet packet transformation. Grey relational grades between pedalling performance and the EMG MNF of each lower limb muscle group during the whole process were calculated. The results demonstrated that EMG MNF of the rectus femoris (RF), vastus (VAS), gastrocnemius (GAS), and tibialis anterior (TA) progressively tired during a 30-second all-out sprint cycling exercise. Of the muscles evaluated, the degree of fatigue of TA showed the greatest association with exercise performance decline, whereas the muscle fatigue of RF, VAS, and GAS also significantly impacted exercise performance during a 30-second all-out sprint cycling exercise.

Indexed as

BicyclingMuscle FatigueAthletesElectromyographyHumansLower ExtremityMuscle, Skeletal

Identifiers

PMID34938421
PMCPMC8687788
OpenAlexW4200210193

What OpenQuestion holds

Textmetadata
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.