BriefGPT.xyz
Aug, 2023
癫痫预测的路径签名
Path Signatures for Seizure Forecasting
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Jonas F. Haderlein, Andre D. H. Peterson, Parvin Zarei Eskikand, Mark J. Cook, Anthony N. Burkitt...
TL;DR
通过对长期患者数据集的分析,研究人员提出了用于预测特定患者癫痫发作的统计特征的自动发现和量化方法,其中使用了现有和新颖的特征提取算法,特别是路径标识这一时间序列分析的最新发展技术。
Abstract
forecasting
the state of a system from an observed time series is the subject of research in many domains, such as computational neuroscience. Here, the prediction of
epileptic seizures
from
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