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Updated: Sep 8, 2025

High Density Event-related Potential Data Acquisition in Cognitive Neuroscience
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High Density Event-related Potential Data Acquisition in Cognitive Neuroscience

Published on: April 16, 2010

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使用外部数据采集和线性过从不连续的PerceptTMPC和RC输出重建时间域数据

Jinxin Chen1, Mandy M Koop2, Kenneth B Baker3

  • 1Department of Biomedical Engineering, Case Western Reserve University, Cleveland, OH, United States of America.

Journal of neuroscience methods
|September 5, 2025
PubMed
概括

在Medtronic深度大脑刺激 (DBS) 记录中发现了时间错误,并使用了新的算法进行了纠正. 这种方法提高了对长期DBS数据分析的时间同步的准确性.

关键词:
生物医学信号唤起的潜力频率分析功能性电刺激信号采集和处理

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