Evidence map›Paper›PMID 32367012›Full record

ArticleSpinal cord2020

Wheelchair propulsion fatigue thresholds in electromyographic and ventilatory testing.

Liping Qi, Li Zhang, Xiang-Bo Lin, Martin Ferguson-Pell

Abstract read
PubMed Publisher
In one paragraph

Article in Spinal cord, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 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

3 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. 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

4 authors.

Liping QiSchool of Biomedical Engineering, Dalian University of Technology, Dalian, 116024, Liaoning, China. lipingqi@dlut.edu.cn.ORCID http://orcid.org/0000-0002-3109-2353
Li ZhangSchool of Biomedical Engineering, Dalian University of Technology, Dalian, 116024, Liaoning, China.
Xiang-Bo LinSchool of Information and Communication Engineering, Dalian University of Technology, Dalian, 116024, Liaoning, China.
Martin Ferguson-PellFaculty of Rehabilitation Medicine, University of Alberta, Edmonton, AB, T6G 2G4, Canada.

Funding

National Natural Science Foundation of China (National Science Foundation of China) 31600797
6 · The paper itself

Abstract

STUDY

designQualitative study.

objectiveThe objective of the present study are physiological processes occurring when the intensity of manual wheelchair propulsion approaches levels causing muscular fatigue. In particular, we set out to (1) detect the electromyographic (EMG) and ventilatory fatigue threshold during a single wheelchair incremental test, (2) examine the relationship between EMG threshold (EMGT) and ventilatory threshold (VT), and (3) detect the EMG threshold differences between the propulsive and recovery muscle synergies.

settingBiomechanics laboratory at the University of Alberta, Canada.

methodsOxygen uptake and EMG signals from ten wheelchair users (seven males and three females) were recorded as they were each performing an incremental propulsion bout in their own wheelchairs on a wheelchair ergometer. The V-slope method was used to identify the VT, and the EMGT of each of the eight muscles (anterior deltoid, middle deltoid, posterior deltoid, infraspinatus, upper trapezius, sternal head of pectoralis major, biceps brachii, and triceps brachii) was determined using the bisegmental linear regression method.

resultsFor each participant, we were able to determine the EMGT and VT from a single incremental wheelchair propulsion bout. EMGT stands in good agreement with VT, and there was a high similarity in EMGT between push and recovery muscles (intraclass correlation coefficient = 0.91).

conclusionThe EMG fatigue threshold method can serve as a valid and reliable tool for identifying the onset of muscular fatigue during wheelchair propulsion, thus providing a foundation for automated muscle fatigue detection/prediction in wearable technology.

Indexed as

WheelchairsAdultElectromyographyErgometryFemaleHumansMaleMiddle AgedMuscle FatigueOxygen ConsumptionPulmonary VentilationRespiratory Function TestsSpinal Cord InjuriesThoracic Vertebrae

Identifiers

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.