Suppr超能文献

截瘫患者中功能性电刺激生理肌肉骨骼模型的识别与验证

Identification and validation of FES physiological musculoskeletal model in paraplegic subjects.

作者信息

Benoussaad Mourad, Hayashibe Mitsuhiro, Fattal Charles, Poignet Philippe, Guiraud David

机构信息

INRIA Sophia-Antipolis -DEMAR Project and LIRMM, UMR5506 CNRS UM2, 161 Rue Ada - 34392 Montpellier CEDEX 5, France.

出版信息

Annu Int Conf IEEE Eng Med Biol Soc. 2009;2009:6538-41. doi: 10.1109/IEMBS.2009.5334507.

Abstract

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.

摘要

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。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验