Evidence map›Paper›PMID 41595945›Full record

ReviewBioengineering (Basel, Switzerland)2025

Biomechanical Monitoring of Exercise Fatigue Using Wearable Devices: A Review.

Yang Chen, Siqi Li, Jian Kuang, Xu Zhang, Zhijie Zhou, En-Jing Li, Xiaoli Chen, Xianmei Meng

Abstract readReview
In one paragraph

Review in Bioengineering (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  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

8 authors.

Yang ChenSchool of Nursing, Wuhan University, Wuchang District, Wuhan 430072, China.ORCID 0009-0007-1449-0492
Siqi LiSchool of Nursing, Wuhan University, Wuchang District, Wuhan 430072, China.ORCID 0009-0009-6832-8727
Jian KuangGNSS Research Center, Wuhan University, Wuchang District, Wuhan 430072, China.ORCID 0000-0002-7680-0632
Xu ZhangSchool of Nursing, Wuhan University, Wuchang District, Wuhan 430072, China.
Zhijie ZhouSchool of Nursing, Wuhan University, Wuchang District, Wuhan 430072, China.
En-Jing LiPhysical Culture Institute, Central China Normal University, Hongshan District, Wuhan 430079, China.
Xiaoli ChenSchool of Nursing, Wuhan University, Wuchang District, Wuhan 430072, China.
Xianmei MengSchool of Nursing, Wuhan University, Wuchang District, Wuhan 430072, China.

Funding

Wuhan University 2042023gf0011Wuhan University 21YJA890016
6 · The paper itself

Abstract

Exercise fatigue is a critical factor that compromises athletic performance, increases the risk of musculoskeletal injury, and threatens safety in military and occupational settings. Reliable monitoring of fatigue is therefore essential for optimizing training, preventing injury, and safeguarding long-term health. Biomechanical indicators, including joint kinematics, ground reaction forces, and electromyographic signals, provide valuable insight into the biomechanical manifestations of fatigue. Although traditional laboratory-based methods are accurate, they are costly, cumbersome, and unsuitable for continuous field monitoring. Recent advances in wearable technologies, particularly inertial measurement units (IMUs), insole pressure sensors (IPSs), and surface electromyography (sEMG), enable continuous, noninvasive, and real-time assessment of biomechanical changes during exercise fatigue. This review synthesizes current progress in IMU-, IPS-, and sEMG-based wearable systems for biomechanical exercise fatigue monitoring, highlighting their principles, strengths, and challenges.

Indexed as

biomechanicalexercise fatiguefatigue diagnosisinjury preventionreal-time monitoringwearable

Identifiers

PMID41595945
PMCPMC12838368

What OpenQuestion holds

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LicenceCC BY
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.