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作 者:潘玮敏[1,2] 王世林 俞家乐 梁馨文 褚智威 Pan Weimin;Wang Shilin;Yu Jiale;Liang Xinwen;Chu Zhiwei(School of Sports and Health Science,Xi'an University of Physical Education,Xi'an 710068,China;Key Technologies of Sports Intelligent Equipment Shaanxi University Engineering Research Center,Xi'an 710068,China;School of Artificial Intelligence,Xidian University,Xi'an 710071,China;Xi'an Weisu Intelligent Technology Co.,Ltd.,Xi'an 710000,China)
机构地区:[1]西安体育学院运动与健康科学学院,西安710068 [2]体育智能装备关键技术陕西省高校工程研究中心,西安710068 [3]西安电子科技大学人工智能学院,西安710071 [4]西安维塑智能科技有限公司,西安710000
出 处:《河南师范大学学报(自然科学版)》2025年第2期148-156,I0010,I0011,共11页Journal of Henan Normal University(Natural Science Edition)
基 金:陕西省社会科学基金(2019R020);陕西省自然科学基础研究计划(2021JM-530).
摘 要:[目的]探究实时姿势监测与反馈系统对血流限制(blood flow restriction,BFR)下跑者下肢运动学与肌电特征的变化.[方法]17名无BFR训练经验的新手健康跑者参与3次不同方案的跑步测试.第1次测试空白条件下单纯跑步(blank running,BR)状态;第2次测试BFR下跑步(BFR and running,BFRR)状态;第3次测试BFR并进行实时姿势监测与反馈(monitoring and feedback,MF)时的跑步状态.比较3次测试中跑者下肢髋、膝、踝关节峰值活动角度与下肢主要肌肉肌电参数变化.[结果]与BR方案相比,BFRR方案下跑者下肢关节峰值角度显著增加,肌肉激活程度与肌纤维募集频率范围也显著增加.使用实时姿势监测与反馈后,与BFRR方案相比,BFRR+MF方案下跑者下肢关节峰值活动角度与上述肌电参数显著下降.[结论]BFR训练将导致跑者初次应用时表现出过激运动表现,但实时监测与反馈系统将优化运动表现,降低运动损伤风险.[Objective]To explore the changes of lower limb kinematics and myoelectric characteristics of runners under blood flow restriction(BFR)under real-time posture monitoring and feedback system.[Methods]17 novice healthy runners without BFR training experience participated in three running tests with different programs.The first test was simply under the blank running(BR)condition;The second test was running under BFR(BFRR);The third test was conducted with real-time posture monitoring and feedback running(MR)under BFR.The peak activity angles of lower limb joints of hip,knee and ankle were compared with the EMG parameters of the main muscles of lower limb in the three tests.[Results]Compared with BR scheme,the peak angles of lower limb joints of runners in BFRR scheme were significantly increased,as were the range of muscle activation degree and muscle fiber recruitment frequency.After using real-time posture monitoring and feedback,the lower limb joint peak motion Angle and the above EMG parameters were significantly reduced in BFRR+MF compared with BFRR.[Conclusion]BFR training will lead to excessive motor performance on the first application,but the real-time monitoring and feedback system will optimize motor performance and reduce the risk of sports injuries.
分 类 号:R318.04[医药卫生—生物医学工程]
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