Evidence map›Paper›PMID 38400219›Full record

ArticleSensors (Basel, Switzerland)2024

Myoelectric, Myo-Oxygenation, and Myotonometry Changes during Robot-Assisted Bilateral Arm Exercises with Varying Resistances.

Hsiao-Lung Chan, Ling-Fu Meng, Yung-An Kao, Ya-Ju Chang, Hao-Wei Chang, Szi-Wen Chen, Ching-Yi Wu

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 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

7 authors.

Hsiao-Lung ChanDepartment of Electrical Engineering, Chang Gung University, Taoyuan 33302, Taiwan.
Ling-Fu MengDepartment of Occupational Therapy and Graduate Institute of Behavioral Sciences, Chang Gung University, Taoyuan 33302, Taiwan.
Yung-An KaoDepartment of Electrical Engineering, Chang Gung University, Taoyuan 33302, Taiwan.
Ya-Ju ChangNeuroscience Research Center, Chang Gung Memorial Hospital, Linkou, Taoyuan 33305, Taiwan.ORCID 0000-0002-9102-4352
Hao-Wei ChangDepartment of Electrical Engineering, Chang Gung University, Taoyuan 33302, Taiwan.
Szi-Wen ChenNeuroscience Research Center, Chang Gung Memorial Hospital, Linkou, Taoyuan 33305, Taiwan.
Ching-Yi WuDepartment of Occupational Therapy and Graduate Institute of Behavioral Sciences, Chang Gung University, Taoyuan 33302, Taiwan.ORCID 0000-0003-4726-2916

Funding

Chang Gung Memorial Hospital Taiwan CMRPD2M0301National Science and Technology Council, Taiwan NSTC 112-2221-E-182-009-MY2
6 · The paper itself

Abstract

Robot-assisted bilateral arm training has demonstrated its effectiveness in improving motor function in individuals post-stroke, showing significant enhancements with increased repetitions. However, prolonged training sessions may lead to both mental and muscle fatigue. We conducted two types of robot-assisted bimanual wrist exercises on 16 healthy adults, separated by one week: long-duration, low-resistance workouts and short-duration, high-resistance exercises. Various measures, including surface electromyograms, near-infrared spectroscopy, heart rate, and the Borg Rating of Perceived Exertion scale, were employed to assess fatigue levels and the impacts of exercise intensity. High-resistance exercise resulted in a more pronounced decline in electromyogram median frequency and recruited a greater amount of hemoglobin, indicating increased muscle fatigue and a higher metabolic demand to cope with the intensified workload. Additionally, high-resistance exercise led to increased sympathetic activation and a greater sense of exertion. Conversely, engaging in low-resistance exercises proved beneficial for reducing post-exercise muscle stiffness and enhancing muscle elasticity. Choosing a low-resistance setting for robot-assisted wrist movements offers advantages by alleviating mental and physiological loads. The reduced training intensity can be further optimized by enabling extended exercise periods while maintaining an approximate dosage compared to high-resistance exercises.

Indexed as

ArmRoboticsAdultExerciseExercise TherapyHumansUpper Extremityelectromyogramexercise intensityheart ratemental fatiguemuscle fatiguemuscular oxygenationmyotonometryrobot-assisted bilateral arm training

Identifiers

PMID38400219
PMCPMC10892273

What OpenQuestion holds

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LicenceCC BY
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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.