Kiso Atsushi, Taniguchi Yu, Seki Hirokazu
Electrical, Electronics and Computer Engineering, Chiba Institute of Technology, Chiba 275-0016, Japan.
Annu Int Conf IEEE Eng Med Biol Soc. 2011;2011:4094-9. doi: 10.1109/IEMBS.2011.6091017.
This paper describes an optimal measurement position estimation by the discriminant analysis based on Wilks' lambda for the myoelectric hand control. In the past studies, the myoelectric signals were measured from the same positions for the motions discrimination. However, the optimal measurement positions of the myoelectric signals for the motion discrimination are different according to the remaining muscle situation of amputees. Therefore the purpose of this study is to estimate the optimal and fewer measurement positions for the precise motion discrimination of the human forearm. This study proposes the estimation method of the optimal measurement positions by the discriminant analysis based on Wilks' lambda among the myoelectric signal measured from multiple positions. Some experiments on the myoelectric hand simulator show the effectiveness of the proposed optimal measurement position estimation method.
本文描述了一种基于威尔克斯似然比的判别分析用于肌电手控制的最优测量位置估计方法。在过去的研究中，为了进行运动判别，肌电信号是从相同位置测量的。然而，对于运动判别而言，肌电信号的最优测量位置会因截肢者剩余肌肉情况的不同而有所差异。因此，本研究的目的是估计出用于人体前臂精确运动判别的最优且数量较少的测量位置。本研究提出了一种基于威尔克斯似然比的判别分析方法，用于从多个位置测量的肌电信号中估计最优测量位置。在肌电手模拟器上进行的一些实验表明了所提出的最优测量位置估计方法的有效性。
