Evidence map›Paper›PMID 29157238›Full record

ArticleBiomedical engineering online2017

Evaluation of normal swallowing functions by using dynamic high-density surface electromyography maps.

Mingxing Zhu, Bin Yu, Wanzhang Yang, Yanbing Jiang, Lin Lu, Zhen Huang, Shixiong Chen, Guanglin Li

Open access · goldAbstract read
In one paragraph

Article in Biomedical engineering online, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
9.2field-weighted citation impact, top 2% 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

20 citing papers in PubMed, 58 citations in OpenAlex.

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  20. Swallowing evaluation with videofluoroscopy in the paediatric population.Acta otorhinolaryngologica Italica : organo ufficiale della Societa italiana di otorinolaringologia e chirurgia cervico-facciale · 2019
    Review
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 at 5 institutions in 2 countries.

Mingxing ZhuChinese Academy of Science (CAS) Key Laboratory of Human-Machine Intelligence-Synergy Systems, Shenzhen Institutes of Advanced Technology, Shenzhen, 518055, China.ORCID http://orcid.org/0000-0002-1204-118X
Bin YuDesigned Intelligence Group, Industrial Design Department, Eindhoven University of Technology, 5612 AZ, Eindhoven, The Netherlands.
Wanzhang YangThe Rehabilitation Department, Shenzhen Hospital of Southern Medical University, Shenzhen, 518052, China.
Yanbing JiangChinese Academy of Science (CAS) Key Laboratory of Human-Machine Intelligence-Synergy Systems, Shenzhen Institutes of Advanced Technology, Shenzhen, 518055, China.
Lin LuThe Rehabilitation Department, Shenzhen Sixth People's Hospital, Shenzhen, 518052, China.
Zhen HuangThe Department of Rehabilitation Medicine, Guangzhou Panyu Central Hospital, Guangzhou, 511400, China.
Shixiong ChenChinese Academy of Science (CAS) Key Laboratory of Human-Machine Intelligence-Synergy Systems, Shenzhen Institutes of Advanced Technology, Shenzhen, 518055, China. sx.chen@siat.ac.cn.ORCID http://orcid.org/0000-0002-5868-6952
Guanglin LiChinese Academy of Science (CAS) Key Laboratory of Human-Machine Intelligence-Synergy Systems, Shenzhen Institutes of Advanced Technology, Shenzhen, 518055, China. gl.li@siat.ac.cn.
Shenzhen Institutes of Advanced Technology · CNEindhoven University of Technology · NLPanyu District Central Hospital · CNShenzhen Sixth People's Hospital · CNSouthern Medical University Shenzhen Hospital · CN

Funding

National Natural Science Foundation of China 61403367National Natural Science Foundation of China 81572233National Natural Science Foundation of China 91420301Shenzhen Basic Research Grant JCYJ20150401150223634Shenzhen Health and Family Planning Commission Scientific Research Project SZXJ2017072Shenzhen High-level Oversea Talent Program (Shenzhen Peacock Plan) Grant KQCX2015033117354152Shenzhen High-level Oversea Talent Program (Shenzhen Peacock Plan) Grant KQJSCX20160301141522Shenzhen Science and Technology Project of Nanshan District 2017012
6 · The paper itself

Abstract

backgroundSwallowing is a continuous process with substantive interdependencies among different muscles, and it plays a significant role in our daily life. The aim of this study was to propose a novel technique based on high-density surface electromyography (HD sEMG) for the evaluation of normal swallowing functions.

methodsA total of 96 electrodes were placed on the front neck to acquire myoelectric signals from 12 healthy subjects while they were performing different swallowing tasks. HD sEMG energy maps were constructed based on the root mean square values to visualize muscular activities during swallowing. The effects of different volumes, viscosities, and head postures on the normal swallowing process were systemically investigated by using the energy maps.

resultsThe results showed that the HD sEMG energy maps could provide detailed spatial and temporal properties of the muscle electrical activity, and visualize the muscle contractions that closely related to the swallowing function. The energy maps also showed that the swallowing time and effort was also explicitly affected by the volume and viscosity of the bolus. The concentration of the muscular activities shifted to the opposite side when the subjects turned their head to either side.

conclusionsThe proposed method could provide an alternative method to physiologically evaluate the dynamic characteristics of normal swallowing and had the advantage of providing a full picture of how different muscle activities cooperate in time and location. The findings from this study suggested that the HD sEMG technique might be a useful tool for fast screening and objective assessment of swallowing disorders or dysphagia.

Indexed as

AdultDeglutitionElectrodesElectromyographyFemaleHeadHumansMaleMuscle ContractionPostureSignal Processing, Computer-AssistedViscosityYoung AdultEnergy mapsHigh-density surface electromyographyMuscle contractionsNormal swallowingSwallowing effort

Identifiers

PMID29157238
PMCPMC5696778
OpenAlexW2769104180

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.