ArticleBiology2021
Gait Characteristics and Fatigue Profiles When Standing on Surfaces with Different Hardness: Gait Analysis and Machine Learning Algorithms.
Article in Biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed, 12 citations in OpenAlex.
- Changes in the mechanical properties of myotonometric muscles following manual therapy during archery: a single-group, single-session repeated measurement study.Scientific reports · 2026Article
- Effects of an ICT-Based Wearable Intervention on Physical Function in Arteriosclerosis Obliterans: A 12-Week Study.Life (Basel, Switzerland) · 2026Article
- Exploring acute physiological adaptations to circuit strength training: the role of work-to-rest interval variations.Scientific reports · 2026Article
- Speed-related increases in plantar tissue stress without affected-side laterality in individuals with unilateral shoulder dislocation.Frontiers in public health · 2026Article
- Short-Term Foot and Postural Adaptations During an Industrial Workday: A Workplace-Based Biomechanical Assessment.Journal of functional morphology and kinesiology · 2025Article
- Biomechanical differences in lower limb movements during lifting tasks before and after fatigue.Frontiers in bioengineering and biotechnology · 2025Article
- Comparison of IMU-Based Knee Kinematics with and without Harness Fixation against an Optical Marker-Based System.Bioengineering (Basel, Switzerland) · 2024Article
- Editorial to the Special Issue "Human Bodywork: Applications in Health, Disease, and Rehabilitation".Biology · 2023Article
- Effect of pregnancy on female gait characteristics: a pilot study based on portable gait analyzer and induced acceleration analysis.Frontiers in physiology · 2023Article
- The Influence of a Shoe's Heel-Toe Drop on Gait Parameters during the Third Trimester of Pregnancy.Bioengineering (Basel, Switzerland) · 2022Article
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Authors and funding
6 authors at 3 institutions in 3 countries.
Funding
Abstract
backgroundLongtime standing may cause fatigue and discomfort in the lower extremities, leading to an increased risk of falls and related musculoskeletal diseases. Therefore, preventive interventions and fatigue detection are crucial. This study aims to explore whether anti-fatigue mats can improve gait parameters following long periods of standing and try to use machine learning algorithms to identify the fatigue states of standing workers objectively.
methodsEighteen healthy young subjects were recruited to stand on anti-fatigue mats and hard ground to work 4 h, including 10 min rest. The portable gait analyzer collected walking speed, stride length, gait frequency, single support time/double support time, swing work, and leg fall intensity. A Paired sample t-test was used to compare the difference of gait parameters without standing intervention and standing on two different hardness planes for 4 h. An independent sample t-test was used to analyze the difference between males and females. The K-nearest neighbor (KNN) classification algorithm was performed, the subject's gait characteristics were divided into non-fatigued and fatigue groups. The gait parameters selection and the error rate of fatigue detection were analyzed.
resultsWhen gender differences were not considered, the intensity of leg falling after standing on the hard ground for 4 h was significantly lower than prior to the intervention (
conclusionThe results show that the discomfort and fatigue caused by standing for 4 h could lead to the gait parameters variation, especially in females. The use of anti-fatigue mats may improve the negative influence caused by standing for a long period. The results of the KNN classification algorithm showed that gait parameters could be identified after fatigue, and the use of an anti-fatigue mat could improve the negative effect of standing for a long time. The accuracy of the prediction results in this study was moderate. For future studies, researchers need to optimize the algorithm and include more factors to improve the prediction accuracy.
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Registered trials
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.