A time-delay parallel cascade identification system for predicting jaw movements

Nazanin Goharian, Hadi Kalani, Sanar Moghimi
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引用次数: 2

Abstract

The relationship between muscles' electrical activity and body movements is of special importance in many medical applications. In this study, for the first time, we plan to evaluate the efficiency of time-delay parallel cascade identification (TDPCI) to predict jaw motion using Electromyography (EMG) signals recorded from two masticatory muscles, namely masseter and temporalis. The Obtained results demonstrate the efficiency of TDPCI in predicting time-varying mastication kinematic parameters based on EMG signals recorded from the two aforementioned muscles. The proposed model has the potential to be employed for controlling masticatory robots controlled by remotely recorded EMG signals.
一种预测下颌运动的时滞平行级联识别系统
肌肉电活动和身体运动之间的关系在许多医学应用中具有特别重要的意义。在这项研究中,我们首次计划评估延时平行级联识别(TDPCI)预测下颌运动的效率,该方法使用的是来自咬肌和颞肌的肌电图(EMG)信号。实验结果表明,TDPCI可以有效地根据上述肌肉的肌电信号预测咀嚼运动参数的时变。所提出的模型有可能被用于控制咀嚼机器人通过远程记录的肌电信号控制。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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