| 基于希尔伯特-黄变换的肌动图估计肌肉疲劳研究 |
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| 引用本文： | 胡淑娴,施俊. 基于希尔伯特-黄变换的肌动图估计肌肉疲劳研究[J]. 生物医学工程学杂志, 2011, 0(2) |
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| 作者姓名： | 胡淑娴 施俊 |
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| 作者单位： | 上海大学通信与信息工程学院; |
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| 基金项目： | 国家自然科学基金资助项目(60701021); 上海市教委重点学科建设项目资助(J50104) |
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| 摘 要： | 肌动图(MMG)记录了肌纤维的低频侧向振动,表征了肌肉活动的力学特性。MMG信号可用于估计肌肉疲劳。希尔伯特-黄变换(HHT)作为一种时频分析方法,具有自适应性,适合于非线性、非平稳信号分析。本文利用HHT对上肢肱二头肌等长收缩疲劳实验中记录的MMG信号进行分析,提取计算瞬时频率的最高值与最低值的差(频带值)作为特征量,以估计肌肉疲劳特性。实验结果表明,当肌肉完全疲劳以后,50%最大力矩值和70%最大力矩值情况下,频带比分别为0.431±0.607和0.286±0.218,说明肌肉疲劳以后,频率有了明显地下降。
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| 关 键 词： | 肌动图 希尔伯特-黄变换 肌肉疲劳 肌电图 频带 |
A Study of Mechanomyography Analysis for Muscle Fatigue with Hilbert-Huang Transform |
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| Hu Shuxian Shi Jun. A Study of Mechanomyography Analysis for Muscle Fatigue with Hilbert-Huang Transform[J]. Journal of biomedical engineering, 2011, 0(2) |
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| Authors: | Hu Shuxian Shi Jun |
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| Affiliation: | Hu Shuxian Shi Jun(School of Communication and Information Engineering,Shanghai University,Shanghai 200072,China) |
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| Abstract: | The mechanomyography(MMG) records and quantifies the low-frequency lateral oscillations of active muscle fibers.It can represent the mechanical characteristics of muscle activity.MMG has been used to evaluate muscle fatigue.Hilbert-Huang transform(HHT) is a time-frequency method with the feature of self-adaptation,and designed specifically for nonlinear and nonstationary signal analysis.In this study,MMG signal was recorded from biceps brachii during isometric fatigue contraction.HHT was used to calculate t... |
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| Keywords: | Mechanomyography(MMG) Hilbert-Huang transform(HHT) Muscle fatigue Electromyography(EMG) Band |
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