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A Study of Racket Weight Adaptation in Advanced and Beginner Badminton Players 羽毛球高级和初级运动员对球拍重量适应性的研究
IF 2.2 4区 计算机科学 Q3 ENGINEERING, BIOMEDICAL Pub Date : 2024-01-25 DOI: 10.1155/2024/8908294
Zhengye Pan, Lushuai Liu, Xingman Li, Yunchao Ma
The jump smash is the most aggressive manoeuvre in badminton. Racket parameters may be the key factor affecting the performance of jump smash. Previous studies have focused only on the biomechanical characteristics of athletes or on racket parameters in isolation, with less observation of the overall performance of the human-racket system. This study aims to explore the effects of different racket weights on neuromuscular control strategies in advanced and beginner players. Nonnegative matrix factorisation (NMF) was used to extract the muscle synergies of players when jumping smash using different rackets (3U, 5U), and K-means clustering was used to obtain the fundamental synergies. Uncontrolled manifold (UCM) analyses were used to establish links between synergy and motor performance, and surface electromyography (sEMG) was mapped to each spinal cord segment. The study found significant differences (<span><svg height="9.2729pt" style="vertical-align:-0.6370001pt" version="1.1" viewbox="-0.0498162 -8.6359 21.464 9.2729" width="21.464pt" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"><g transform="matrix(.013,0,0,-0.013,0,0)"></path></g><g transform="matrix(.013,0,0,-0.013,13.833,0)"></path></g></svg><span></span><span><svg height="9.2729pt" style="vertical-align:-0.6370001pt" version="1.1" viewbox="25.0461838 -8.6359 21.919 9.2729" width="21.919pt" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"><g transform="matrix(.013,0,0,-0.013,25.096,0)"></path></g><g transform="matrix(.013,0,0,-0.013,31.336,0)"></path></g><g transform="matrix(.013,0,0,-0.013,34.3,0)"><use xlink:href="#g113-49"></use></g><g transform="matrix(.013,0,0,-0.013,40.54,0)"></path></g></svg>)</span></span> in the postural muscles of skilled players and significant differences (<span><svg height="9.2729pt" style="vertical-align:-0.6370001pt" version="1.1" viewbox="-0.0498162 -8.6359 21.464 9.2729" width="21.464pt" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"><g transform="matrix(.013,0,0,-0.013,0,0)"><use xlink:href="#g113-81"></use></g><g transform="matrix(.013,0,0,-0.013,13.833,0)"><use xlink:href="#g117-91"></use></g></svg><span></span><span><svg height="9.2729pt" style="vertical-align:-0.6370001pt" version="1.1" viewbox="25.0461838 -8.6359 28.182 9.2729" width="28.182pt" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"><g transform="matrix(.013,0,0,-0.013,25.096,0)"><use xlink:href="#g113-49"></use></g><g transform="matrix(.013,0,0,-0.013,31.336,0)"><use xlink:href="#g113-47"></use></g><g transform="matrix(.013,0,0,-0.013,34.3,0)"><use xlink:href="#g113-49"></use></g><g transform="matrix(.013,0,0,-0.013,40.54,0)"><use xlink:href="#g113-49"></use></g><g transform="matrix(.013,0,0,-0.013,46.78,0)"></path></g></svg>)</span></span> in the upper-limb muscles of beginners when the racket weight was increased. Advanced players adapt to the increase in racket weight
跳砸是羽毛球运动中最具攻击性的动作。球拍参数可能是影响跳砸表现的关键因素。以往的研究仅关注运动员的生物力学特征或球拍参数,而较少观察人-球拍系统的整体性能。本研究旨在探索不同球拍重量对高级和初级运动员神经肌肉控制策略的影响。研究使用非负矩阵因式分解(NMF)来提取运动员使用不同球拍(3U、5U)进行跳砸时的肌肉协同作用,并使用 K-means 聚类来获得基本协同作用。利用非控制流形(UCM)分析建立协同作用与运动表现之间的联系,并将表面肌电图(sEMG)映射到每个脊髓节段。研究发现,当球拍重量增加时,熟练运动员的姿势肌肉和初学者的上肢肌肉存在明显差异()。高级运动员主要通过调整第三协同作用的激活时间来适应球拍重量的增加。高级运动员的联合协同作用主要集中在后挥杆,而初学者的联合协同作用主要集中在前挥杆。这表明,高级运动员可能更善于利用姿势肌肉及其与上肢肌肉的协调来适应不同的球拍。此外,运动经验可以帮助运动员更快地适应更重的球拍,而这种适应主要是通过调整协同作用的时间相位和协变特性来实现的,而不是通过增加协同作用的数量。
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引用次数: 0
Assessment of Load Manual Lifting among Shelf-Stoking Workers in Chain Stores: A Cross-Sectional Study 连锁店货架摞货工人的负重手动搬运评估:横断面研究
IF 2.2 4区 计算机科学 Q3 ENGINEERING, BIOMEDICAL Pub Date : 2024-01-17 DOI: 10.1155/2024/2324416
Alireza Choobineh, Elahe Dortaj, Mohsen Razeghi, Haleh Ghaem, Hadi Daneshmandi
In Iranian stores, shelf workers, in addition to shelf-stocking, perform diverse tasks, such as working as a cashier, cleaning, barcode reading, labeling goods, and entering the price with the portable data terminal (PDT). Therefore, this study aimed to investigate the prevalence of work-related musculoskeletal symptoms (WMSs) and assess load manual lifting among shelf-stoking workers. This cross-sectional study was conducted among 101 shelf-stoking workers (60 males and 41 females) in chain stores at Shiraz city, Iran. The subjects were selected by cluster sampling from chain stores in Shiraz city, namely Refah, Canbo, Soroush, and Tirazis. Then, the required number of samples was selected and entered into the study from each cluster in proportion. The Persian version of the Nordic Musculoskeletal Questionnaire and the National Institute of Occupational Safety and Health–variable lifting index method were used to collect the required data. Data were analyzed by SPSS software version 22 using the Mann–Whitney U test, Spearman’s correlation coefficient, and linear regression. Ankles/feet, lower back, and knees had the highest prevalence of WMSs among the participants. About 70.3% of workers had a VLI higher than 1. There was an association between gender and VLI. The VLI was higher in males than females. The study’s findings revealed that the medians of the VLI were significantly different among participants with/without upper back symptoms during 12 months prior to the study and among participants with/without lower back symptoms during 7 days prior to the study. According to the linear regression analysis, gender and lower back symptoms during 7 days prior to the study remained in the model and were associated with the VLI. The findings revealed that the back region of the shelf-stoking workers is prone to work-related musculoskeletal disorders. In addition, based on the results, gender and lower back symptoms during the 7 days prior to the study were predicting variables for VLI. This study provides an overview of pain/discomfort and postural load in shelf-stoking workers. Since the principles of ergonomics for the placement and layout of shelves are the same in all stores, the findings of the present study can be used in other stores.
在伊朗的商店里,货架工人除了负责货架存货外,还从事多种工作,如收银、清洁、阅读条形码、给商品贴标签以及使用便携式数据终端(PDT)输入价格。因此,本研究旨在调查与工作相关的肌肉骨骼症状(WMSs)的发生率,并评估货架堆放工人的手动搬运负荷。这项横断面研究在伊朗设拉子市连锁店的 101 名货架戳货工人(60 名男性和 41 名女性)中进行。研究对象从设拉子市的连锁店(即 Refah、Canbo、Soroush 和 Tirazis)中分组抽取。然后,按比例从每个群组中选取所需的样本数量并将其输入研究中。在收集所需数据时,使用了波斯语版的北欧肌肉骨骼问卷和国家职业安全与健康研究所的变量提升指数法。数据分析采用 SPSS 软件 22 版,使用曼-惠特尼 U 检验、斯皮尔曼相关系数和线性回归。在参与者中,脚踝/脚掌、腰部和膝盖的 WMS 患病率最高。约 70.3% 的工人的 VLI 值高于 1。男性的 VLI 值高于女性。研究结果显示,在研究前 12 个月内有/没有上背部症状的参与者之间,以及在研究前 7 天内有/没有下背部症状的参与者之间,VLI 的中位数存在显著差异。根据线性回归分析,性别和研究前 7 天的下背部症状仍保留在模型中,并与 VLI 相关。研究结果表明,上架工人的背部容易发生与工作有关的肌肉骨骼疾病。此外,根据研究结果,性别和研究前 7 天内的下背部症状是 VLI 的预测变量。这项研究概述了货架戳货工人的疼痛/不适和姿势负荷。由于货架摆放和布局的人体工程学原则在所有商店都是相同的,因此本研究的结果可用于其他商店。
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引用次数: 0
3D Kinematics of Male and Female Soccer Players for a Variety of Game-Specific Skills 男女足球运动员各种特定比赛技能的三维运动学研究
IF 2.2 4区 计算机科学 Q3 ENGINEERING, BIOMEDICAL Pub Date : 2024-01-08 DOI: 10.1155/2024/9588416
Danyon Loud, Paul Grimshaw, Richard Kelso
Soccer is played by a variety of individuals with varying abilities. The complicated lower limb movements involved within the game often lead to knee and ankle injuries, with anterior cruciate ligament injuries being the most severe with regard to rehabilitation time and ongoing health risks. This research explores the biomechanical kinematics of male and female soccer players on synthetic grass to determine whether trends in lower limb biomechanics over a variety of movements could explain injury risk. Both male and female players (n = 10) aged between 19 and 24 years performed running-based and stationary-start movements. Biomechanical measurements at the hip, knee, and ankle were recorded. Observations showed that specific differences in joint angles were largely dependent on the movements performed; however, for male players, on average, across all movements, 84.6% and 72.6% of the variation in joint angles could be explained by internal/external rotation at the hip and knee, respectively. For female players, internal/external knee rotation, as well as hip abduction and adduction, accounted for 83.6% and 80.2% of the variation in joint angles, respectively, across all the tested movements. This highlights the importance of hip mechanics and knee alignment for players when performing a variety of movements.
踢足球的人各不相同,能力也各不相同。足球运动中涉及的复杂下肢运动经常导致膝关节和踝关节受伤,其中前十字韧带受伤最为严重,需要花费大量时间进行康复治疗,并对健康造成持续威胁。本研究探讨了男女足球运动员在人造草地上的生物力学运动学,以确定下肢生物力学在各种运动中的趋势是否能解释受伤风险。年龄在 19 至 24 岁之间的男女球员(n = 10)均进行了跑步和静止起跑动作。对髋关节、膝关节和踝关节的生物力学测量结果进行了记录。观察结果表明,关节角度的具体差异在很大程度上取决于所做的动作;然而,对于男性球员来说,在所有动作中,平均分别有 84.6% 和 72.6% 的关节角度变化可以用髋关节和膝关节的内/外旋来解释。对于女运动员来说,在所有测试动作中,膝关节内/外旋以及髋关节外展和内收分别占关节角度变化的 83.6% 和 80.2%。这凸显了髋关节力学和膝关节对齐对球员完成各种动作的重要性。
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引用次数: 0
Force Tracking Control of Lower Extremity Exoskeleton Based on a New Recurrent Neural Network 基于新型递归神经网络的下肢外骨骼力跟踪控制
IF 2.2 4区 计算机科学 Q3 ENGINEERING, BIOMEDICAL Pub Date : 2024-01-06 DOI: 10.1155/2024/5870060
Yuxuan Cao, Jie Chen, Li Gao, Jiqing Luo, Jinyun Pu, Shengli Song
The lower extremity exoskeleton can enhance the ability of human limbs, which has been used in many fields. It is difficult to develop a precise force tracking control approach for the exoskeleton because of the dynamics model uncertainty, external disturbances, and unknown human–robot interactive force lied in the system. In this paper, a control method based on a novel recurrent neural network, namely zeroing neural network (ZNN), is proposed to obtain the accurate force tracking. In the framework of ZNN, an adaptive RBF neural network (ARBFNN) is employed to deal with the system uncertainty, and a fixed-time convergence disturbance observer is designed to estimate the external disturbance of the exoskeleton electrohydraulic system. The Lyapunov stability method is utilized to prove the convergence of all the closed-loop signals and the force tracking is guaranteed. The proposed control scheme’s (ARBFNN-FDO-ZNN) force tracking performances are presented and contrasted with the exponential reaching law-based sliding mode controller (ERL-SMC). The proposed scheme is superior to ERL-SMC with fast convergence speed and lower tracking error peak. Finally, experimental tests are conducted to verify the efficacy of the proposed controller for solving accurate force tracking control issues.
下肢外骨骼可增强人体肢体的能力,已在许多领域得到应用。由于系统中存在动力学模型的不确定性、外部干扰和未知的人机交互力,因此很难开发出精确的外骨骼力跟踪控制方法。本文提出了一种基于新型递归神经网络(即归零神经网络(ZNN))的控制方法,以获得精确的力跟踪。在 ZNN 框架下,采用自适应 RBF 神经网络(ARBFNN)来处理系统的不确定性,并设计了一个固定时间收敛扰动观测器来估计外骨骼电液系统的外部扰动。利用 Lyapunov 稳定性方法证明了所有闭环信号的收敛性,并保证了力的跟踪。介绍了所提出的控制方案(ARBFNN-FDO-ZNN)的力跟踪性能,并与基于指数达成律的滑模控制器(ERL-SMC)进行了对比。所提出的方案优于 ERL-SMC,收敛速度快,跟踪误差峰值更低。最后,通过实验测试验证了所提控制器在解决精确力跟踪控制问题方面的功效。
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引用次数: 0
Retracted: Educational Data Mining by Optimally Fusing Shallow and Deep Features 撤回:通过优化融合浅层和深层特征进行教育数据挖掘
IF 2.2 4区 计算机科学 Q3 ENGINEERING, BIOMEDICAL Pub Date : 2023-12-20 DOI: 10.1155/2023/9759207
Applied Bionics and Biomechanics
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引用次数: 0
Retracted: An Intelligent Health Monitoring Model Based on Fuzzy Deep Neural Network 撤回:基于模糊深度神经网络的智能健康监测模型
IF 2.2 4区 计算机科学 Q3 ENGINEERING, BIOMEDICAL Pub Date : 2023-12-20 DOI: 10.1155/2023/9821681
Applied Bionics and Biomechanics
{"title":"Retracted: An Intelligent Health Monitoring Model Based on Fuzzy Deep Neural Network","authors":"Applied Bionics and Biomechanics","doi":"10.1155/2023/9821681","DOIUrl":"https://doi.org/10.1155/2023/9821681","url":null,"abstract":"<jats:p />","PeriodicalId":8029,"journal":{"name":"Applied Bionics and Biomechanics","volume":"35 22","pages":""},"PeriodicalIF":2.2,"publicationDate":"2023-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138956551","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Retracted: The Diagnostic Performance of 18F-FDG PET/CT in Recurrent Pancreatic Cancer: A Systematic Review and Meta-analysis 撤回:18F-FDG PET/CT 对复发性胰腺癌的诊断效果:系统回顾与元分析
IF 2.2 4区 计算机科学 Q3 ENGINEERING, BIOMEDICAL Pub Date : 2023-12-20 DOI: 10.1155/2023/9769050
Applied Bionics and Biomechanics
{"title":"Retracted: The Diagnostic Performance of 18F-FDG PET/CT in Recurrent Pancreatic Cancer: A Systematic Review and Meta-analysis","authors":"Applied Bionics and Biomechanics","doi":"10.1155/2023/9769050","DOIUrl":"https://doi.org/10.1155/2023/9769050","url":null,"abstract":"<jats:p />","PeriodicalId":8029,"journal":{"name":"Applied Bionics and Biomechanics","volume":"47 16","pages":""},"PeriodicalIF":2.2,"publicationDate":"2023-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138957237","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Retracted: The Influence Mechanism of BIM on Green Building Engineering Project Management under the Background of Big Data 撤回:大数据背景下 BIM 对绿色建筑工程项目管理的影响机制
IF 2.2 4区 计算机科学 Q3 ENGINEERING, BIOMEDICAL Pub Date : 2023-12-20 DOI: 10.1155/2023/9851621
Applied Bionics and Biomechanics
{"title":"Retracted: The Influence Mechanism of BIM on Green Building Engineering Project Management under the Background of Big Data","authors":"Applied Bionics and Biomechanics","doi":"10.1155/2023/9851621","DOIUrl":"https://doi.org/10.1155/2023/9851621","url":null,"abstract":"<jats:p />","PeriodicalId":8029,"journal":{"name":"Applied Bionics and Biomechanics","volume":"77 21","pages":""},"PeriodicalIF":2.2,"publicationDate":"2023-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138957856","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Retracted: Deep-Learning-Guided Student Intelligent Classroom Management System. 撤回:深度学习引导的学生智能课堂管理系统。
IF 2.2 4区 计算机科学 Q3 ENGINEERING, BIOMEDICAL Pub Date : 2023-12-20 eCollection Date: 2023-01-01 DOI: 10.1155/2023/9837861
Applied Bionics And Biomechanics

[This retracts the article DOI: 10.1155/2022/1961631.].

[本文撤回了文章 DOI:10.1155/2022/1961631.]。
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引用次数: 0
Retracted: Effective Graph Mining for Educational Data Mining and Interest Recommendation. 撤回:用于教育数据挖掘和兴趣推荐的有效图挖掘。
IF 2.2 4区 计算机科学 Q3 ENGINEERING, BIOMEDICAL Pub Date : 2023-12-20 eCollection Date: 2023-01-01 DOI: 10.1155/2023/9794627
Applied Bionics And Biomechanics

[This retracts the article DOI: 10.1155/2022/7610124.].

[本文撤回文章 DOI:10.1155/2022/7610124]。
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引用次数: 0
期刊
Applied Bionics and Biomechanics
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