Evidence map›Paper›PMID 32993105›Full record

ArticleSensors (Basel, Switzerland)2020

Sonomechanomyography (SMMG): Mapping of Skeletal Muscle Motion Onset during Contraction Using Ultrafast Ultrasound Imaging and Multiple Motion Sensors.

Yan To Ling, Christina Zong-Hao Ma, Queenie Tsung Kwan Shea, Yong-Ping Zheng

Open access · goldAbstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.1field-weighted citation impact, top 24% 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

13 citing papers in PubMed, 22 citations in OpenAlex.

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  4. Advances in Neuromuscular Monitoring Techniques in Anesthesiology: A 2025 Perspective.Medical science monitor : international medical journal of experimental and clinical research · 2025
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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

4 authors at 1 institution in 1 country.

Yan To LingDepartment of Biomedical Engineering, The Hong Kong Polytechnic University, Hung Hom, Hong Kong, China.ORCID 0000-0003-2443-1561
Christina Zong-Hao MaDepartment of Biomedical Engineering, The Hong Kong Polytechnic University, Hung Hom, Hong Kong, China.ORCID 0000-0001-6507-2329
Queenie Tsung Kwan SheaDepartment of Biomedical Engineering, The Hong Kong Polytechnic University, Hung Hom, Hong Kong, China.ORCID 0000-0001-6229-7047
Yong-Ping ZhengDepartment of Biomedical Engineering, The Hong Kong Polytechnic University, Hung Hom, Hong Kong, China.
Hong Kong Polytechnic University · HK

Funding

Hong Kong Polytechnic University ZG4WResearch Grants Council, University Grants Committee R5017-18
6 · The paper itself

Abstract

backgroundAvailable methods for studying muscle dynamics, including electromyography (EMG), mechanomyography (MMG) and M-mode ultrasound, have limitations in terms of spatial resolution.

methodsThis study developed a novel method/protocol of two-dimensional mapping of muscle motion onset using ultrafast ultrasound imaging, i.e., sono-mechano-myo-graphy (SMMG). The developed method was compared with the EMG, MMG and force outputs of tibialis anterior (TA) muscle during ankle dorsiflexion at different percentages of maximum voluntary contraction (MVC) force in healthy young adults.

resultsSignificant differences between all pairwise comparisons of onsets were identified, except between SMMG and MMG. The EMG onset significantly led SMMG, MMG and force onsets by 40.0 ± 1.7 ms (

conclusionsThis study introduced and evaluated a new method/protocol, SMMG, for studying muscle dynamics and demonstrated its feasibility for muscle contraction onset research. This novel technology can potentially provide new insights for future studies of neuromuscular diseases, such as multiple sclerosis and muscular dystrophy.

Indexed as

Isometric ContractionMuscle ContractionMuscle, SkeletalUltrasonographyElectromyographyHumansMyographyYoung Adultelectromyography (EMG)maximum voluntary contraction (MVC)mechanomyography (MMG)muscle motion onsetultrafast ultrasound

Identifiers

PMID32993105
PMCPMC7582362
OpenAlexW3087860908

What OpenQuestion holds

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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.