Evidence map›Paper›PMID 39551737›Full record

ArticleBiomedical engineering online2024

Multi-channel EMG manifestations of upper-extremity muscle coordination imbalance among community-dwelling sarcopenic seniors.

Haoru He, Xiaochu Wu, Na Li, Yi Jiang, Jiayuan He, Ning Jiang

Abstract read
In one paragraph

Article in Biomedical engineering online, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 2 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

4 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
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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

6 authors.

Haoru HeThe National Clinical Research Center for Geriatrics, West China Hospital of Sichuan University, Chengdu, 610041, Sichuan, China.
Xiaochu WuThe National Clinical Research Center for Geriatrics, West China Hospital of Sichuan University, Chengdu, 610041, Sichuan, China.
Na LiThe National Clinical Research Center for Geriatrics, West China Hospital of Sichuan University, Chengdu, 610041, Sichuan, China.
Yi JiangThe National Clinical Research Center for Geriatrics, West China Hospital of Sichuan University, Chengdu, 610041, Sichuan, China.
Jiayuan HeThe National Clinical Research Center for Geriatrics, West China Hospital of Sichuan University, Chengdu, 610041, Sichuan, China.
Ning JiangThe National Clinical Research Center for Geriatrics, West China Hospital of Sichuan University, Chengdu, 610041, Sichuan, China. jiangning21@wchscu.cn.

Funding

Fundamental Research Funds for the Central Universities YJ202373National Clinical Research Center for Geriatrics Z2023YY001National Clinical Research Center for Geriatrics Z2024YY002Science and Technology Major Project of Tibetan Autonomous Region of China XZ202201ZD0001G
6 · The paper itself

Abstract

backgroundSarcopenia is an age-related, insidious, crippling but curable degenerative disease if diagnosed and treated early. However, no accessible and accurate early screening method is available for community settings that does not require specialized personnel. One of the hallmarks of sarcopenia is the pathological changes of muscle fiber type composition and motor unit firing patterns. Surface electromyography (sEMG) may serve as an effective tool for detecting differences between healthy and sarcopenic individuals due to its superior wearability and accessibility compared to other screening methods such as medical imaging and bioimpedance measurements, making it ideal for community-based sarcopenic screening. Our study aims to explore sEMG biomarkers that can be used for screening or diagnosis of sarcopenia.

resultsWe collected multi-channel sEMG signals from six forearm muscles of 98 healthy and 55 sarcopenic community-dwelling older adults. Participants performed grasp tasks at 20% and 50% of maximum voluntary contraction (MVC). Hexagons created by various EMG features, normalized with respect to respective MVC, and symmetry analyses were performed to estimate multi-muscle coordination patterns. An innovative index, namely incenter-circumcenter distance of muscle coordination (ICDMC), is proposed to discriminate between the healthy and sarcopenic groups. We utilized non-parametric tests to compare the ICDMC between the two groups, considering a p-value less than 0.05 statistically significant. The results showed that at 20% MVC, ICDMCs from root mean square (RMS), mean absolute value (MAV), slope sign changes (SSC) and wavelength (WL) showed statistically significant differences. More insights of this sEMG manifestation of sarcopenia were revealed by gender- and age-stratifications analyses.

conclusionsOur results demonstrated that there are clear sEMG manifestations of altered muscle coordination in sarcopenic patients. More consistent force generation patterns were observed in the sarcopenic group, especially at lower contraction intensities. The novel ICDMC can quantify differences between sarcopenic and healthy muscle. These results warrant further research to further develop more accessible sarcopenia screening strategies in community settings based on electrophysiological measurements such as sEMG.

Indexed as

ElectromyographyIndependent LivingSarcopeniaAgedAged, 80 and overFemaleHumansMaleMiddle AgedMuscle, SkeletalUpper ExtremityAgingCommunity-dwellingDiagnosisSarcopeniaSurface electromyogram

Identifiers

PMID39551737
PMCPMC11571991

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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.