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从同度扭矩信号计算样本:方法考虑和建议

Peter C Raffalt1,2, Jennifer M Yentes3, Sandro R Freitas4

  • 1Department of Biology, University of Southern Denmark, Odense, Denmark.

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概括

从同度收缩扭矩数据计算最佳样本 (SaEn) 需要特定的参数. 100-250Hz之间的采样频率和至少30秒的观察时间确保有效的SaEn结果.

关键词:
发动机控制器的控制器肌肉收缩 肌肉收缩非线性分析是一种非线性分析.规律性的规律性时间序列时间序列

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科学领域:

  • 生物力学 生物力学
  • 生理学 生理学 生理学
  • 信号处理 信号处理

背景情况:

  • 样本 (SaEn) 量化时间序列的规律性.
  • 准确的SaEn计算对于分析肌肉扭矩等生理信号至关重要.
  • 确定异度收缩中SaEn的最佳参数对于可靠的数据解释至关重要.

研究的目的:

  • 为了研究采样频率,输入参数和观察持续时间对从同度膝盖屈曲扭矩数据中得出的SaEn值的影响.
  • 为了确定在亚最大同位数收缩中进行强大的SaEn分析的最佳参数.

主要方法:

  • 从46名参与者中收集的扭矩数据,这些参与者在20%的最大自发收缩率下进行同度膝盖曲,并以1000Hz的频率收集数据.
  • 功率光谱分析指导下采样,以评估从25到750赫兹的频率.
  • 使用不同的矢量长度 (2-3),耐受性极限 (0.1-0.4),数据长度 (500-18000点) 和观察时间 (5-90秒) 来计算SaEn.

主要成果:

  • SaEn值增加到100 Hz以下,在250 Hz以上保持稳定,支持100-250 Hz的采样频率.
  • 在测试的参数组合 (矢量长度,容忍度,数据长度) 中发现了一致的SaEn结果.
  • 有效的SaEn计算需要至少30秒的观测时间.

结论:

  • 建议在100Hz和250Hz之间的采样频率用于对等矩矩数据的SaEn分析.
  • 对于SaEn计算的参数选择显示相对一致,但观察时间至关重要.
  • 在这种情况下,至少需要30秒的数据才能进行可靠的SaEn量化.