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首页> 外文期刊>IEEE Transactions on Biomedical Engineering >Determination of nerve conduction velocity distribution from sampled compound action potential signals
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Determination of nerve conduction velocity distribution from sampled compound action potential signals

机译:根据采样的复合动作电位信号确定神经传导速度分布

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摘要

The sampled compound action potential (CAP) data sequence was expressed as the circular convolution of the delay sequence and the sampled single fiber action potential (SFAP) data sequence. An algorithm, based on Hirose's method (1986) was then developed to separate the delay sequence from the sampled CAP data sequence, and the nerve conduction velocity distribution (NCVD) was consequently calculated from the delay sequence. The NCVD was found to be the product of the amplitude of the SFAP and the number of fibers. Simulations show that the estimated results were in good agreement with the calculated results. Experiments were performed on ten sciatic nerves from five bullfrogs (Rana pipens) using two independent variables: interelectrode distance and stimulus current strength. The results estimated from CAP's recorded under each condition reflect the corresponding feature of NCVD of the condition. The advantage of the technique is to provide detailed information about both slow and fast conducting fibers. This technique also offers the possibility to directly calculate the nerve fiber diameter distribution from the sampled CAP data sequences.
机译:采样的复合动作电位(CAP)数据序列表示为延迟序列和采样的单纤维动作电位(SFAP)数据序列的循环卷积。然后,开发了一种基于Hirose方法(1986)的算法,将延迟序列与采样的CAP数据序列分开,从而从延迟序列计算出神经传导速度分布(NCVD)。发现NCVD是SFAP振幅和纤维数量的乘积。仿真表明,估计结果与计算结果吻合良好。使用两个独立变量:电极间距离和刺激电流强度,对来自五只牛蛙(蛙蛙)的十个坐骨神经进行了实验。根据每种情况下记录的CAP估算的结果反映了该条件的NCVD的相应特征。该技术的优点是可以提供有关慢速和快速导电纤维的详细信息。该技术还提供了从采样的CAP数据序列直接计算神经纤维直径分布的可能性。

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