Generalized alternating stimulation: A novel method to reduce stimulus artifact in electrically evoked compound action potentials

推荐理由

通过3000条专家评价的数据，训练用于评价ECAP信号质量的机器学习模型，以此优化去噪算法。该研究将ECAP信号评价客观化，并以此基础发表了后续一系列的文章。

文章简介
期刊	Journal of Neuroscience Methods
发表年份	2007
DOI	10.1016/j.jneumeth.2007.05.028
类型	研究性工作
领域	神经信号处理
引用量	{{{Citation_}}}

推荐信息
推荐人	张皓晨
审核	马伯志、张博扬
推荐小组	人工脊髓小组

摘要

Stimulus artifact is one of the main limitations when considering electrically evoked compound action potential for clinical applications. Alternating stimulation (average of recordings obtained with anodic–cathodic and cathodic–anodic bipolar stimulation pulses) is an effective method to reduce stimulus artifact when evoked potentials are recorded. In this paper we extend the concept of alternating stimulation by combining anodic–cathodic and cathodic–anodic recordings with a weight in general different to 0.5. We also provide an automatic method to obtain an estimation of the optimal weights. Comparison with conventional alternating, triphasic stimulation and masker-probe paradigm shows that the generalized alternating method improves the quality of electrically evoked compound action potential responses.

细分领域

< | 闭环调控 | 电诱发复合动作电位研究