首页> 外文会议>SICE Symposium on Decentralized Autonomous Systems >Comparison of Decoding Accuracies from Electrocorticogram (ECoG) and Local Filed Potentials (LFPs) During Monkey Arm Movements
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Comparison of Decoding Accuracies from Electrocorticogram (ECoG) and Local Filed Potentials (LFPs) During Monkey Arm Movements

机译:猴子臂运动中电下图(ECOG)和局部归档电位(LFP)解码精度的比较

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We compared decoding accuracies of arm movement kinematics and electromyography (EMG) activities from intracortical local field potentials (LFPs) and electrocorticogram (ECoG) on the motor cortex of a monkey performing reach-and-grasp movements. Best decoding accuracies from a LFP channel were comparable to ones from a single ECoG in the nearby LFP (decoding of arm movemnts; LFP: R=0.79-0.43, ECoG: R=0.79-0.58, decoding of EMG; LFP: R=0.79-0.48, ECoG: R=0.83-0.45). Most ECoG signals for advantage over a best LFP were recorded from the primary motor cortex and somatosensory area. Our result suggested the ECoG was available for decoding both of arm movement and EMG activities.
机译:我们比较了在执行REACH和掌握运动的猴子的电动机皮质上从内部局部场电位(LFP)和电池线(ECOG)的臂运动运动学和肌电图(EMG)活动的解码精度。来自LFP通道的最佳解码精度与附近LFP中的单个ECOG的准确性相当(ARM Movemnts的解码; LFP:R = 0.79-0.43,ECOG:R = 0.79-0.58,EMG的解码; LFP:R = 0.79 -0.48,ECOG:R = 0.83-0.45)。大多数ECOG信号用于优于最佳LFP,从主要电机皮层和躯体感应区域记录。我们的结果表明ECOG可用于解码ARM运动和EMG活动。

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