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Development of new inverse analyses of surface EMG about change of neuromuscular structure and function with ageing

开发关于神经肌肉结构和功能随衰老变化的新表面肌电图逆分析

基本信息

批准号：
17300197
负责人：
SAITOU Kenji
金额：
$ 5.25万
依托单位：
Saga University
依托单位国家：
日本
项目类别：
Grant-in-Aid for Scientific Research (B)
财政年份：
2005
资助国家：
日本
起止时间：
2005 至 2007
项目状态：
已结题

项目摘要

We examined the inverse analysis of surface EMG to extract anatomical and physiological information such as the position (depth),current strength, size (radius), muscle fiber density, recruitment and firing rate of active motor units. It became clear that the depth of the active motor units was 0.5-7.7mm, and the current strength of the active motor units was 0.1-230.9nAm, through the inverse analysis with surface MUAP. In addition, the radius of the motor units was 1.4-5.4mm, and the muscle fiber density of the motor units was 0.4-9.3fiber/mm2, was estimated through the relationships between depth and current strength that were clarified by the inverse analysis. Furthermore, we developed the extended electrode array for new inverse analysis to progress the accuracy of estimation. It was clarified that the number of recruitment of motor units in rapid contraction with low force was smaller than that in maximal voluntary contraction for EMG amplitude, from the simulation of surface EMG … More with the model that had anatomical and physiological parameters about motor unit. But, the simulation method including the model of motor units must be extended for information about firing statistics of the motor units. On the other hand, the effect of the inhomogenious tissue such as epidermis and dermis, and the fiber density of motor unit on the surface electromyo potential was examined through the simulation with finite element method. As the results, it was clarified that the estimate of depth of motor unit was robust and stable against the above conditions. The inverse analysis developed in this study have the advantage that this method is able to estimate the anatomical and physiological process such as the depth, current strength, size, fiber density and firing statistics of active motor units, which is not able to measure practically under the interfered condition produced by recruitment of many motor units. In order to collect more detail and effective information about neuromuscular system, we must progress the development of the inverse analysis including recording method and model for simulation, and application of those methods to aged subjects. Less

我们研究了表面肌电图的逆分析，以提取解剖和生理信息，如位置（深度），电流强度，大小（半径），肌纤维密度，募集和激活运动单位的放电率。用表面MUAP进行反分析，发现活动运动单位的深度为0.5-7.7mm，电流强度为0.1-230.9nAm。此外，通过对深度与电流强度的关系进行反分析，得到运动单位的半径为1.4-5.4mm，肌纤维密度为0.4-9.3fiber/mm ~ 2。此外，我们开发了新的反分析电极阵列的扩展，以提高估计的准确性。从表面肌电的模拟结果可以看出，在肌电幅度为最大的随意收缩时，小力快速收缩时运动单位的募集数量小于最大力快速收缩时的募集数量 ...更多信息运动单位的解剖学和生理学参数。但是，包括运动单元模型的仿真方法必须扩展到有关运动单元的射击统计信息。另一方面，通过有限元模拟，研究了表皮和真皮等非均匀组织以及运动单位纤维密度对表面肌电位的影响。结果表明，运动单元深度的估计值在上述条件下具有稳健性和稳定性。本研究中发展的逆分析方法的优点是，该方法能够估计活动运动单位的深度、电流强度、大小、纤维密度和放电统计等解剖和生理过程，而在许多运动单位募集产生的干扰条件下，这些解剖和生理过程无法实际测量。为了更详细、更有效地获取神经肌肉系统的信息，必须发展逆分析方法，包括记录方法和仿真模型，并将这些方法应用于老年人。少