Microrecording of writer's cramp signals with indigenously developed advanced real-time multi-channel intelligent-EMG-system

V. R. Raju, B. Roopam, K. Rukmini, G. R. Chakravarthy, Anuradha Boya
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Abstract

In this study we gathered EMG Writers cramp signals from 5 weights of right-hand, when the subject inscribed first with right hand and left hand, i.e. right-hand-writing-signal (RHWS) and left-hand-writing-signal (LHWS) over a period of 10 seconds with sampling-frequency (fs) 3 kHz yields 3k readings, 150k samples/5muscle channels. Maximum fs of A/D is 40 k samples/sec, conversion time 25 μ-Sec. Due to system bus and computer-monitor resolution limitation, only 3 kHz (fs) sampling done. Neuro-sensors were embedded in dominant intrinsic dystonia attacked RH and signal acquisition — recording was performed while writing from both LH and RH. Left hand writing is mainly to see the mirror objects (i.e. movements) of RH. Our computational results showed 80% variation with the first two PC scores in our scatter plot.
国产先进实时多通道智能肌电系统对作家痉挛信号的微记录
在本研究中,我们收集了受试者首先用右手和左手书写时,右手书写信号(RHWS)和左手书写信号(LHWS)在10秒内以采样频率(fs) 3 kHz产生3k个读数,150k个样本/5个肌肉通道的肌电图痉挛信号。A/D最大fs为40k采样/秒,转换时间为25 μ-秒。由于系统总线和计算机显示器分辨率的限制,只进行了3khz (fs)采样。神经传感器嵌入显性内禀肌张力障碍发作的RH,并在从LH和RH写入时进行信号采集-记录。左手写字主要是看RH的镜像对象(即运动)。我们的计算结果显示,在我们的散点图中,前两个PC分数有80%的变化。
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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