|
|
论文:2024,Vol:42,Issue(3):567-576 |
|
|
引用本文： |
|
|
杨延璞, 安为岚, 韩钟剑, 范昱, 杨沁夏. 手过头静态作业的上肢肌肉疲劳特性研究[J]. 西北工业大学学报 |
|
|
YANG Yanpu, AN Weilan, HAN Zhongjian, FAN Yu, YANG Qinxia. Research on muscle fatigue of upper limb in overhead static work[J]. Journal of Northwestern Polytechnical University |
|
|
|
|
|
|
|
| 手过头静态作业的上肢肌肉疲劳特性研究 |
|
| 杨延璞1, 安为岚1, 韩钟剑2, 范昱2, 杨沁夏1 |
|
1. 长安大学 道路施工技术与装备教育部重点实验室, 陕西 西安 710064;
2. 中国电子科技集团第二十研究所, 陕西 西安 710068 |
| 摘要: |
| 为探究手过头不同高度下静态作业的上肢肌肉疲劳特性,通过实验设计采集了被试的表面肌电信号(surface electromyography,sEMG)及基于Borg CR-10量表的主观疲劳状态,研究了sEMG的时域与频域特征处理方法,并利用多分类支持向量机(support vector machine,SVM)识别肌肉疲劳状态。通过对肌肉贡献率、主客观肌肉疲劳特征的相关性、不同高度下的肌肉疲劳累积排序及肌肉疲劳分类识别进行分析,结果表明:肌肉平均贡献率超过10％的肌肉为肱二头肌、三角肌与斜方肌,且其累积贡献率超过70％;对疲劳累积程度在3个高度下排序,肱二头肌和斜方肌为H3>H2>H1,三角肌为H2>H3>H1;随着手过头静态作业时间增加,上肢肌肉疲劳逐渐积累,时域特征值增加、频域特征值减小且其变化具有一致性;多分类SVM对手过头静态作业中的上肢肌肉疲劳识别准确率大于90％。 |
| 关键词:
人机工效
手过头静态作业
肌肉疲劳
表面肌电信号
支持向量机
|
|
| Research on muscle fatigue of upper limb in overhead static work |
|
| YANG Yanpu1, AN Weilan1, HAN Zhongjian2, FAN Yu2, YANG Qinxia1 |
|
1. Key Laboratory of Road Construction Technology and Equipment of MOE, Chang'an University, Xi'an 710064, China;
2. The 20th Research Institute of China Electronics Technology Group Corporation, Xi'an 710068, China |
| Abstract: |
| To explore the muscle fatigue features of upper limb at different heights in overhead static work, an experiment was conducted to obtain the surface electromyography (sEMG) of subjects and their subjective fatigue state based on Borg CR-10 scale. The processing methods of time domain and frequency domain features of sEMG were studied and the multiclass support vector machine (SVM) was used to identify the state of muscle fatigue. By analyzing the muscular contribution, the correlation of subjective ratings and objective muscle fatigue features, ranking order of muscle fatigue accumulation, and muscular fatigue classification and identification, the results show that the muscles contribute above 10％ on average are the biceps, deltoid and trapezius, and their cumulative contribution exceeds 70％; and the ranking orders of muscle fatigue accumulation in three heights are H3>H2>H1 for biceps and trapezius and H2>H3>H1 for deltoid; and with the time increase of overhand static operation, the muscle fatigue of upper limb gradually accumulates, resulting in the value of time domain features increases and the frequency domain features decreases, and their changes are consistent; and the accuracy of multiclass SVM is above 90％ for identifying muscle fatigue of upper limb in overhead static work. |
| Key words:
ergonomics
overhead static work
muscle fatigue
surface electromyography
support vector machine
|
|
| 收稿日期: 2023-06-08
修回日期:
|
| DOI: 10.1051/jnwpu/20244230567 |
| 基金项目: 基础加强计划技术领域基金(2021-JCJQ-JJ-1018)、长安大学中央高校基本科研业务费(300102253107)与陕西省创新能力支撑计划(2020PT-014)资助 |
| 通讯作者: 杨延璞(1984—) e-mail:thomasyang2005@126.com
Email：thomasyang2005@126.com |
| 作者简介: 杨延璞(1984—),教授
|
|
|
|
|
|
|
|
参考文献: |
|
|
[1] HUYSAMEN K, BOSCH T, LOOZE M D, et al. Evaluation of a passive exoskeleton for static upper limb activities[J]. Applied Ergonomics, 2018(70): 148-155
[2] 王越, 张驎. 矿工肌肉疲劳状况及事故预防研究[J]. 中国安全科学学报, 2021, 31(3): 191-196 WANG Yue, ZHANG Lin. Research on muscle fatigue status and accident prevention in miners[J]. China Safety Science Journal, 2021, 31(3): 191-196(in Chinese)
[3] MAURICE P, ĈAMERNIK J, GORJAN D, et al. Objective and subjective effects of a passive exoskeleton on overhead work[J]. IEEE Trans on Neural Systems and Rehabiltation Engineering, 2020, 28(1): 152-164
[4] 郭伏, 刘莉, 吕伟, 等. 手机游戏操作方式对视觉和肌肉疲劳的影响研究[J]. 工业工程与管理, 2020, 25(5): 1-7 GUO Fu, LIU Li, LYU Wei, et al. Research on the impact of mobile game operation methods on visual and muscle fatigue[J]. Industrial Engineering and Management, 2020, 25(5): 1-7(in Chinese)
[5] BORG G A. Psychophysical bases of perceived exertion[J]. Medicine ＆ Science in Sports ＆ Exercise, 1982, 14(5): 377-381
[6] 张岚云, 何彦, 杨静怡, 等. 航空装配作业疲劳监测机理研究及其装备设计应用[J]. 包装工程, 2022, 43(16): 1-9 ZHANG Lanyun, HE Yan, YANG Jingyi, et al. Research on fatigue monitoring mechanism and equipment design application for aviation assembly operations[J]. Packaging Engineering, 2022, 43(16): 1-9(in Chinese)
[7] 张燕军, 徐勇, 张夏, 等. 不同踏板力对驾驶员腿部肌肉疲劳的分析研究[J]. 人类工效学, 2019, 25(6): 1-6 ZHANG Yanjun, XU Yong, ZHANG Xia, et al. Analysis and research on the effect of different pedal forces on driver leg muscle fatigue[J]. Chinese Journal of Ergonomics, 2019, 25(6): 1-6(in Chinese)
[8] GRÄF J, MATTES K, LUEDTKE K, et al. Improved neck posture and reduced neck muscle activity when using a novel camera based workstation for manual precision inspection tasks[J]. Applied Ergonomics, 2021(90): 103147
[9] TAO D, YANG K, ZHANG T, et al. Typing with mobile devices: a comparison of upper limb and shoulder muscle activities, typing performance and perceived workload under varied body postures, typing styles and device types[J]. Applied Ergonomics, 2022(102): 103760
[10] HART S G, STAVELAND L E. Development of NASA-TLX(task load index): results of empirical and theoretical research[J]. Advances in Psychology, 1988, 52(6):139-183
[11] LIN Y H, LU S Y. Effects of ground and load on upper trapezius, biceps brachii muscle and hand forces in one-and two-wheeled wheelbarrow pushing[J]. Applied Ergonomics, 2020(88): 103151
[12] GRIEVE J R, DICKERSON C R. Overhead work: identification of evidence-based exposure guidelines[J]. Occupational Ergonomics, 2008, 8(1): 53-66
[13] MACIUKIEWICZ J M, CUDLIP A C, CHOPP-HURLEY J N, et al. Effects of overhead work configuration on muscle activity during a simulated drilling task[J]. Applied Ergonomics, 2016(53): 10-16
[14] 田保珍, 范沁红. 汽车底盘维修中单手上举操作对肌肉疲劳的影响研究[J]. 中国工程机械学报, 2022, 20(3): 221-225 TIAN Baozhen, FAN Qinhong. Research on the effect of single hand lifting operation on muscle fatigue in automobile chassis maintenance[J]. Chinese Journal of Construction Machinery, 2022, 20(3): 221-225(in Chinese)
[15] VYAS H, DAS S, MEHTA S. Occupational injuries in automobile repair workers[J]. Industrial Health, 2011, 49(5): 642-651
[16] DONOHO D L, JOHNSTONE I M. Adapting to unknown smoothness via wavelet shrinkage[J]. Journal of the American Statistic Association, 1995, 90(432): 1200-1224
[17] SLIM Y, RAOOF K. Removal of ECG interference from surface respiratory electromyography[J]. IRBM, 2010, 31(4): 209-220
[18] 李建华, 王健. 表面肌电图诊断技术临床应用[M]. 杭州: 浙江大学出版社, 2015 LI Jianhua, WANG Jian. Applications of sEMG in clinical diagnosis and evaluations[M]. Hangzhou: Zhejiang University Press, 2015(in Chinese)
[19] CHOWDHURY R H, REAZ M B I, ALI M A B M, et al. Surface electromyography signal processing and classification techniques[J]. Sensors, 2013, 13(9): 12431-12466
[20] 李涛. 肌电功率谱中心频率与肌肉疲劳的相关分析[J]. 中国康复医学杂志, 1995, 10(4): 153-155 LI Tao. Correlation analysis between central frequency of electromyographic power spectrum and muscle fatigue[J]. Chinese Journal of Rehabilitation Medicine, 1995, 10(4): 153-155(in Chinese)
[21] WANG L. Support vector machines: theory and applications[M]. Heidelberg: Springer, 2005
[22] GHOLAMI R, FAKHARI N. Support vector machine: principles, parameters, and applications[M]. Amsterdam: Elsevier,2017
[23] HSU C W, LIN C J. A comparison of methods for multi-class support vector machines[J]. IEEE Trans on Neural Networks, 2001, 13: 415-425 |
|
|
|
相关文献: |
|
|
1．孔德智, 王文东, 郭栋, 史仪凯.基于sEMG的上肢关节角度预测方法研究[J]. 西北工业大学学报, 2022,40(4): 764-770 |
|
|
|
|
|
|
