Evidence map›Paper›PMID 39136723›Full record

ArticleExperimental brain research2024

Robust fatigue markers obtained from muscle synergy analysis.

Chen Zhang, Zi-Jian Zhou, Lu-Yi Wang, Ling-Hua Ran, Hui-Min Hu, Xin Zhang, Hong-Qi Xu, Ji-Peng Shi

Abstract read
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In one paragraph

Article in Experimental brain research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–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

1 citing paper in PubMed.

  1. 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

8 authors.

Chen ZhangResearch Center of Exercise Capacity Assessment and Promotion, 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 & Electrical Engineering, Jilin University, Changchun, Jilin Province, China.
Lu-Yi WangResearch Center of Exercise Capacity Assessment and Promotion, School of Sports Science and Physical Education, Northeast Normal University, Changchun, Jilin Province, China.
Ling-Hua RanErgonomics Standardization Research Field, China National Institute of Standardization, Beijing, China.
Hui-Min HuErgonomics Standardization Research Field, China National Institute of Standardization, Beijing, China.
Xin ZhangErgonomics Standardization Research Field, China National Institute of Standardization, Beijing, China.
Hong-Qi XuResearch Center of Exercise Capacity Assessment and Promotion, School of Sports Science and Physical Education, Northeast Normal University, Changchun, Jilin Province, China. xu_hongqi0402@126.com.
Ji-Peng ShiResearch Center of Exercise Capacity Assessment and Promotion, School of Sports Science and Physical Education, Northeast Normal University, Changchun, Jilin Province, China.

Funding

the Central Fundamental Scientific Research Operating Expenses Project 522023Y-10381the Key Laboratory of Human Factors and Ergonomics for State Market Regulation 2023SYSKF02002the National Key R&D Program of China 2023YFF0615902the Science and Technology Plan Program of State Administration for Market Regulation 2023MK192
6 · The paper itself

Abstract

This study aimed to utilize the nonnegative matrix factorization (NNMF) algorithm for muscle synergy analysis, extracting synergy structures and muscle weightings and mining biomarkers reflecting changes in muscle fatigue from these synergy structures. A leg press exercise to induce fatigue was performed by 11 participants. Surface electromyography (sEMG) data from seven muscles, electrocardiography (ECG) data, Borg CR-10 scale scores, and the z-axis acceleration of the weight block were simultaneously collected. Three indices were derived from the synergy structures: activation phase difference, coactivation area, and coactivation time. The indicators were further validated for single-leg landing. Differences in heart rate (HR) and heart rate variability (HRV) were observed across different fatigue levels, with varying degrees of disparity. The median frequency (MDF) exhibited a consistent decline in the primary working muscle groups. Significant differences were noted in activation phase difference, coactivation area, and coactivation time before and after fatigue onset. Moreover, a significant correlation was found between the activation phase difference and the coactivation area with fatigue intensity. The further application of single-leg landing demonstrated the effectiveness of the coactivation area. These indices can serve as biomarkers reflecting simultaneous alterations in the central nervous system and muscle activity post-exertion.

Indexed as

ElectromyographyHeart RateMuscle FatigueMuscle, SkeletalAdultAlgorithmsElectrocardiographyFemaleHumansMaleYoung AdultFatigueLeg pressMuscle synergysEMGSynergy structure

Identifiers

PMID39136723

What OpenQuestion holds

Textmetadata
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.