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On detecting and adaptive timing for electromyogram based control signals

机译:基于肌电图的控制信号的检测和自适应定时

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The purpose of this study was to develop and evaluate a signal-processing algorithm for controlling electromechanical devices by use of electromyogram (EMG) signals acquired with surface electrodes. The goal was to provide a robust trigger pulse with an appropriate duty cycle that, to some extent, reflects the duration of the muscle contraction. The EMG signal was amplified, digitized, and processed by an 8-bit microprocessor. The Multiplication of Backward Differences (MOBD) algorithm, originally designed to detect the QRS complexes in the electrocardiogram, was used to detect the on-set of the EMG signal. An adaptive refractory period scheme was devised to adjust the trigger pulse width based on EMG activities after the on-set point. This paper describes the development of the microprocessor based system and the preliminary test results.
机译:这项研究的目的是开发和评估一种信号处理算法,该算法通过使用通过表面电极获取的肌电图(EMG)信号来控制机电设备。目的是提供一个具有适当占空比的鲁棒触发脉冲,该占空比在某种程度上反映了肌肉收缩的持续时间。 EMG信号被8位微处理器放大,数字化和处理。最初设计为检测心电图中QRS络合物的后向差异乘积(MOBD)算法用于检测EMG信号的开始。设计了一种自适应不应期方案,以根据设定点后的EMG活动来调整触发脉冲宽度。本文介绍了基于微处理器的系统的开发以及初步的测试结果。

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