Evaluation of spike-detection algorithms for a brain-machine interface application
Evaluation of spike-detection algorithms for a brain-machine interface application
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DOI：
10.1109/tbme.2004.826683
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发表时间：
2004-06-01
影响因子：
4.6
通讯作者：
Wolf, PD
中科院分区：
文献类型：
--
作者：
Obeid, I;Wolf, PD
真实的时间锋电位检测是开发脑机接口的重要要求。我们研究了三类尖峰检测算法，以确定哪一种最适合具有有限传输带宽和计算能力的无线BMI。该算法进行了分析，通过制表真和假检测时，应用到一组现实的人工神经信号与已知的尖峰时间和不同的信号噪声比。一个设计特定的成本函数被开发来评分每个检测器的相对优点;正确的检测增加了分数，而错误的检测和计算负担降低了它。我们还研究了拒绝尖峰的效用，违反了最小不应期发生在一个固定的时间窗口后，前面的阈值交叉。我们的研究结果表明，绝对值算子的成本函数分数与更精细的基于非线性能量算子的检测器的成本函数分数相当。当使用不应期检查时，绝对值操作员评分提高。基于匹配滤波器的检测器由于其相对较大的计算需求而得分较低，这在实时系统中难以实现。
Real time spike detection is an important requirement for developing brain machine interfaces (BMIs). We examined three classes of spike-detection algorithms to determine which is best suited for a wireless BMI with a limited transmission bandwidth and computational capabilities. The algorithms were analyzed by tabulating true and false detections when applied to a set of realistic artificial neural signals with known spike times and varying signal to noise ratios. A design-specific cost function was developed to score the relative merits of each detector; correct detections increased the score, while false detections and computational burden reduced it. Test signals both with and without overlapping action potentials were considered. We also investigated the utility of rejecting spikes that violate a minimum refractory period by occurring within a fixed time window after the preceding threshold crossing. Our results indicate that the cost-function scores for the absolute value operator were comparable to those for more elaborate nonlinear energy operator based detectors. The absolute value operator scores were enhanced when the refractory period check was used. Matched-filter-based detectors scored poorly due to their relatively large compuational requirements that would be difficult to implement in a real-time system.