RR interval time series modeling: the PhysioNet/Computers in Cardiology Challenge 2002

G. Moody
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引用次数: 25

Abstract

Cardiac inter-beat (RR) interval time series contain fluctuations at time scales ranging from a few seconds to many hours. Realistic models of these series are potentially useful to researchers, not only as sources of surrogate data with known properties for evaluating novel analytic methods, but also as sources of insight into the diverse mechanisms underlying heart rate variability. PhysioNet and Computers in Cardiology have sponsored an open on-line competition aimed at stimulating the creation and exchange of high-quality models of RR interval variability, the third in an annual series of challenges for the research community. Participants first created software that was used to generate 24-hour synthetic time series, then attempted to identify the synthetic series within an unlabeled data set that included roughly equal amounts of real and synthetic data. All of the software models and the data used in the challenge are available at http://www.physionet.org/challenge/2002/.
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RR区间时间序列建模:2002年物理网络/计算机心脏病学挑战赛
心脏搏动间隔时间序列包含从几秒到数小时不等的时间尺度波动。这些系列的现实模型对研究人员可能有用,不仅作为评估新分析方法的已知属性的替代数据的来源,而且作为洞察心率变异性的各种机制的来源。PhysioNet和Computers in Cardiology赞助了一项开放的在线竞赛,旨在促进RR间隔变异性高质量模型的创建和交流,这是研究界年度系列挑战中的第三项。参与者首先创建了用于生成24小时合成时间序列的软件,然后试图在包含大致相等数量的真实数据和合成数据的未标记数据集中识别合成序列。挑战中使用的所有软件模型和数据都可以在http://www.physionet.org/challenge/2002/上获得。
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