Benoussaad Mourad, Hayashibe Mitsuhiro, Fattal Charles, Poignet Philippe, Guiraud David
INRIA Sophia-Antipolis -DEMAR Project and LIRMM, UMR5506 CNRS UM2, 161 Rue Ada - 34392 Montpellier CEDEX 5, France.
Annu Int Conf IEEE Eng Med Biol Soc. 2009;2009:6538-41. doi: 10.1109/IEMBS.2009.5334507.
The knowledge and prediction of the behavior of electrically activated muscles are important requisites for the movement restoration by FES in spinal cord injured subjects. The whole parameter's identification of a physiological musculoskeletal model for FES is investigated in this work. The model represents the knee and its associated quadriceps muscle. The identification protocol is noninvasive and based on the in-vivo experiments on paraplegic subjects. The isometric and nonisometric data was obtained by stimulating the quadriceps muscles of 3 paraplegic subjects through surface electrodes. A cross validation has been carried out using nonisometric data set. The normalized RMS errors between the identified model and the measured knee response are presented for each subject.
了解和预测电激活肌肉的行为是脊髓损伤患者通过功能性电刺激恢复运动的重要前提。本文研究了用于功能性电刺激的生理肌肉骨骼模型的全参数识别。该模型代表膝盖及其相关的股四头肌。识别方案是非侵入性的,基于对截瘫患者的体内实验。通过表面电极刺激3名截瘫患者的股四头肌获得等长和非等长数据。使用非等长数据集进行了交叉验证。给出了每个受试者识别模型与测量的膝盖反应之间的归一化均方根误差。