Man-machine interface system for neuromuscular training and evaluation based on EMG and MMG signals.
Man-machine interface system for neuromuscular training and evaluation based on EMG and MMG signals.
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DOI：
10.3390/s101211100
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发表时间：
2010
期刊：
影响因子：
--
通讯作者：
Fernández P
中科院分区：
文献类型：
--
作者：
de la Rosa R;Alonso A;Carrera A;Durán R;Fernández P
本文介绍了一种多功能便携式神经肌肉训练系统-UVa-NTS（UniversityofValladolid Neuromuscular Training System）。UVa-NTS旨在分析严重神经运动障碍患者的自主控制，他们的互动反应，以及他们对神经肌肉接口系统的适应，如神经假体或domotic应用。因此，它是一个很好的工具，以评估在残疾人的剩余肌肉能力。UVa-NTS由一个定制的信号调理前端和一台计算机组成。详细描述了前端电子设备以及自定义软件实现的总体功能。该软件系统由一套图形化训练工具和一个处理核心组成。UVa-NTS与两类神经肌肉信号一起工作：经典的肌电信号（MES）和作为新奇事物的肌力学信号（MMS）。为了评估处理核心的性能，已经完成了一个完整的分析，以分类其效率，并检查它满足实时约束。对健康和选定的受损受试者进行了测试。适应是迅速实现的，应用一个预定义的协议的UVa-NTS集的培训工具。精细的随意控制被证明是达到与肌电信号。并且，当应用肌力学信号时，UVa-NTS被证明提供了令人满意的随意控制。
This paper presents the UVa-NTS (University of Valladolid Neuromuscular Training System), a multifunction and portable Neuromuscular Training System. The UVa-NTS is designed to analyze the voluntary control of severe neuromotor handicapped patients, their interactive response, and their adaptation to neuromuscular interface systems, such as neural prostheses or domotic applications. Thus, it is an excellent tool to evaluate the residual muscle capabilities in the handicapped. The UVa-NTS is composed of a custom signal conditioning front-end and a computer. The front-end electronics is described thoroughly as well as the overall features of the custom software implementation. The software system is composed of a set of graphical training tools and a processing core. The UVa-NTS works with two classes of neuromuscular signals: the classic myoelectric signals (MES) and, as a novelty, the myomechanic signals (MMS). In order to evaluate the performance of the processing core, a complete analysis has been done to classify its efficiency and to check that it fulfils with the real-time constraints. Tests were performed both with healthy and selected impaired subjects. The adaptation was achieved rapidly, applying a predefined protocol for the UVa-NTS set of training tools. Fine voluntary control was demonstrated to be reached with the myoelectric signals. And the UVa-NTS demonstrated to provide a satisfactory voluntary control when applying the myomechanic signals.
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影响因子：
4.6
作者：
HOGAN, N;MANN, RW
通讯作者：
MANN, RW
影响因子：
4.6
作者：
HOGAN, N;MANN, RW
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作者：
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影响因子：
4.6
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4.6
作者：
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通讯作者：
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