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A method of discriminating fingers and wrist action from surface EMG signals for controlling robotic or prosthetic forearm hand

机译:一种从表面肌电信号中区分手指和手腕动作的方法,用于控制机器人或假肢前臂

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The purpose of the study is to find a method for discriminating wrist action and finger action from electro-miography (EMG) picked up from surface electrodes. It will contribute a voluntary control of robotic or prosthetic forearm hand that has wrist joint and fingers. The proposed method is based on two physiological facts: the first is that EMG coming from deep layer has a tendency of power spectrum shifting to low frequency: the second is that EMG coming from thin layer shows a difference in the magnitude according to difference in distance between differential electrodes. The double differential electrode with pre-amplifiers that has two pair of electrodes with different electrode distances is then developed to confirm the method. Experiments show the proposed method is capable of discriminating finger action, wrist action and their combinatory action.
机译:该研究的目的是找到一种方法,该方法可从从表面电极拾取的电子照相(EMG)中区分出手腕动作和手指动作。它将自愿控制具有腕关节和手指的机械手或假肢前臂。所提出的方法基于两个生理事实:第一个是来自深层的EMG具有功率谱向低频移动的趋势;第二个是来自薄层的EMG根据距离的不同在幅度上存在差异。在差分电极之间。然后开发带有前置放大器的双差分电极,该电极具有两对电极距离不同的电极,以确认该方法。实验表明,该方法能够区分手指动作,腕部动作及其组合动作。

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