Evidence map›Paper›PMID 42037328›Full record

ArticleSheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi2026

[Research on a muscle fatigue quantification based on an improved critical power model].

Xiaoguang Wu, Jintao Shang, Xiaochen Niu, Hongbin Lin, Yihao Du

Abstract readEnglish Abstract
In one paragraph

Article in Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

5 authors.

Xiaoguang WuKey Laboratory of Measurement Technology and Instrumentation of Hebei Province, Institute of Electrical Engineering, Yanshan University, Qinhuangdao, Hebei 066004, P. R. China.
Jintao ShangKey Laboratory of Measurement Technology and Instrumentation of Hebei Province, Institute of Electrical Engineering, Yanshan University, Qinhuangdao, Hebei 066004, P. R. China.
Xiaochen NiuQinhuangdao Vocational and Technical College, Qinhuangdao, Hebei 066100, P. R. China.
Hongbin LinKey Laboratory of Measurement Technology and Instrumentation of Hebei Province, Institute of Electrical Engineering, Yanshan University, Qinhuangdao, Hebei 066004, P. R. China.
Yihao DuKey Laboratory of Measurement Technology and Instrumentation of Hebei Province, Institute of Electrical Engineering, Yanshan University, Qinhuangdao, Hebei 066004, P. R. China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To address the challenge of accurately quantifying and predicting muscle fatigue, this study proposes a method for measuring muscle fatigue levels during dumbbell curl exercises. First, the Hill muscle model was used to calculate the biceps brachii power output during dumbbell curls for 12 male subjects. The true value of average muscle power output required under the current physiological state was fitted based on the average power output during non-fatigued cycles. The variation pattern between the curvature constant of the critical power (CP) model and the true muscle power output was investigated, leading to the construction of an improved CP model capable of adapting to physiological states. Next, residual muscle energy was calculated using a muscle energy expenditure and recovery model to quantify fatigue levels. Test results demonstrated that under varying exercise intensities, the mean root mean square error of the improved CP model in predicting the duration of dumbbell curls compared to actual measurement time is 8.01 seconds, significantly lower than the 19.79 seconds of the original model, validating the effectiveness of this approach. In summary, this methodology provides scientific basis for fitness enthusiasts to plan repetition counts within sets and rest intervals between sets during dumbbell curls. It plays a positive role in enhancing exercise efficiency and lays a foundation for further advancing the popularization of fitness activities.

Indexed as

ExerciseModels, BiologicalMuscle FatigueMuscle, SkeletalMuscle StrengthEnergy MetabolismHumansMaleMuscle ContractionYoung AdultCritical power modelMuscle fatigueMuscle power outputMuscle residual energy

Identifiers

PMID42037328
PMCPMC13112220

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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.