机械工程、能源工程 |
|
|
|
|
基于表面肌电与步态的外骨骼穿戴疲劳评测 |
何恺伦1( ),吕健1,*( ),李林2,徐兆1,潘伟杰1 |
1. 贵州大学 现代制造技术教育部重点实验室,贵州 贵阳 550025 2. 贵州航天控制技术有限公司,贵州 贵阳 550009 |
|
Evaluation of exoskeleton wearing fatigue based on surface electromyography and gait |
Kai-lun HE1( ),Jian LV1,*( ),Lin LI2,Zhao XU1,Wei-jie PAN1 |
1. Key Laboratory of Advanced Manufacturing Technology, Ministry of Education, Guizhou University, Guiyang 550025, China 2. Guizhou Aerospace Control Technology Co. Ltd, Guiyang 550009, China |
引用本文:
何恺伦,吕健,李林,徐兆,潘伟杰. 基于表面肌电与步态的外骨骼穿戴疲劳评测[J]. 浙江大学学报(工学版), 2023, 57(10): 2077-2085.
Kai-lun HE,Jian LV,Lin LI,Zhao XU,Wei-jie PAN. Evaluation of exoskeleton wearing fatigue based on surface electromyography and gait. Journal of ZheJiang University (Engineering Science), 2023, 57(10): 2077-2085.
链接本文:
https://www.zjujournals.com/eng/CN/10.3785/j.issn.1008-973X.2023.10.016
或
https://www.zjujournals.com/eng/CN/Y2023/V57/I10/2077
|
1 |
XU Z, PAN W, HOU Y, et al A decision tree model for analysis and judgment of lower limb movement comfort level[J]. International Journal of Environmental Research and Public Health, 2022, 19 (11): 6437
doi: 10.3390/ijerph19116437
|
2 |
DIJK W V, KOOIJ H V D, HEKMAN E. A passive exoskeleton with artificial tendons: Design and experimental evaluation [C]// IEEE International Conference on Rehabilitation Robotics. Zurich: IEEE, 2011: 1-6.
|
3 |
LOVRENOVIC Z, DOUMIT M Development and testing of a passive walking assist exoskeleton[J]. Biocybernetics and Biomedical Engineering, 2019, 39 (4): 992- 1004
doi: 10.1016/j.bbe.2019.01.002
|
4 |
GUAN X, KUAI S, SONG L, et al. How height and weight of patients with spinal cord injury affect the spring locations of unpowered energy-stored exoskeleton [C]// 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society. Berlin: IEEE, 2019: 4449-4453.
|
5 |
FOSTER C, JOSE A, RODRIGUEZ MARROVO, et al Monitoring training loads: the past, the present, and the future[J]. International Journal of Sports Physiology and Performance, 2017, 12 (S2): 3- 8
|
6 |
MORSE J J, PALLASKA G, PIERCE P, et al Acute low-dose caffeine supplementation increases electromyographic fatigue threshold in healthy men[J]. Journal of Strength and Conditioning Research, 2016, 30 (11): 3236- 3241
doi: 10.1519/JSC.0000000000001603
|
7 |
刘晓光, 李梦楠, 王立玲, 等 基于表面肌电信号的康复过程中肌疲劳有效性分析[J]. 生物医学工程学杂志, 2019, 36 (1): 80- 84 LIU Xiao-guang, LI Meng-nan, WANG Li-ling, et al Effectiveness analysis of muscle fatigue in rehabilitation based on surface electromyogram[J]. Journal of Biomedical Engineering, 2019, 36 (1): 80- 84
doi: 10.7507/1001-5515.201703089
|
8 |
PHIBBS P J, ROE G, JONES B, et al Validity of daily and weekly self-reported training load measures in adolescent athletes[J]. Journal of Strength and Conditioning Research, 2017, 31 (4): 1121- 1126
doi: 10.1519/JSC.0000000000001708
|
9 |
CHEN D, CAI Y, QIAN X, et al. Bring Gait Lab to Everyday Life: gait analysis in terms of activities of daily living [C]// IEEE Internet of Things Journal. Buffalo: IEEE, 2020: 1298-1312.
|
10 |
TURNER A N, BISHOP C, MARSHALL G, et al How to monitor training load and mode using sRPE[J]. Prof Strength Cond, 2015, 39: 15- 20
|
11 |
DING Y, LIU S. Research on the application of TRIMP method in the training of martial arts athletes [C]// International Conference on Innovations in Economic Management and Social Science (IEMSS). Dordrecht: AP, 2017: 196-200.
|
12 |
TAO W, LIU T, ZHENG R, et al Gait analysis using wearable sensors[J]. Sensors, 2012, 12 (2): 2255- 2283
doi: 10.3390/s120202255
|
13 |
ZHU J, YI C, WEI B, et al The muscle fatigue’s effects on the sEMG-based gait phase classification: an experimental study and a novel training strategy[J]. Applied Sciences, 2021, 11 (9): 3821
doi: 10.3390/app11093821
|
14 |
CONCALVES, MAURO, LAROCHE, et al Utility of electromyographic fatigue threshold during treadmill running[J]. Muscle and Nerve, 2015, 52 (6): 1030- 1039
doi: 10.1002/mus.24658
|
15 |
PRROMSRI A, MOHR M, FEDEROLF P Principal postural acceleration and myoelectric activity: Interrelationship and relevance for characterizing neuromuscular function in postural control[J]. Human Movement Science, 2021, 77: 102792
doi: 10.1016/j.humov.2021.102792
|
|
Viewed |
|
|
|
Full text
|
|
|
|
|
Abstract
|
|
|
|
|
Cited |
|
|
|
|
|
Shared |
|
|
|
|
|
Discussed |
|
|
|
|