PhysioNet: An NIH research resource for complex signals
PhysioNet: An NIH research resource for complex signals
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DOI：
10.1016/j.jelectrocard.2003.09.038
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发表时间：
2003-01-01
影响因子：
1.3
通讯作者：
Goldberger, AL
中科院分区：
文献类型：
--
作者：
Costa, M;Moody, GB;Goldberger, AL
复杂生理信号研究资源由美国国立卫生研究院（NIH）支持，旨在促进和促进心血管和其他复杂生物医学信号研究的调查。资源站（www.physionet.or）有3个相互依存的组成部分：1）PhysioBank是生理信号和相关数据的良好特征化数字记录的档案，包括心力衰竭、冠心病、睡眠呼吸暂停综合征和心律失常患者的心电图和心率时间序列数据库; 2）PhysioToolkit是用于生理信号处理和分析的开源软件库;和3）PhysioNet，该资源的名称，是一个在线论坛，用于传播和交换记录的生物医学信号和用于分析它们的开放源码软件。PhysioNet与年度心脏病学计算机会议合作，举办了一系列挑战，邀请参与者解决临床上未解决或未得到很好解决的有趣问题。PhysioNet邀请生物医学界的数据库和软件的贡献。
The Research Resource for Complex Physiologic Signals, supported by the National Institutes of Health (NIH), is intended to promote and facilitate investigations in the study of cardiovascular and other complex biomedical signals. The resource website (www.physionet.or) has 3 interdependent components: 1) PhysioBank is an archive of well-characterized digital recordings of physiologic signals and related data, including databases of electrocardiogram and heart rate time series from patients with heart failure, coronary disease, sleep apnea syndromes, and cardiac arrhythmias; 2) PhysioToolkit is a library of open-source software for physiologic signal processing and analysis; and 3) PhysioNet, for which the resource is named, is an on-line forum for dissemination and exchange of recorded biomedical signals and open-source software for analyzing them. PhysioNet, in cooperation with the annual Computers in Cardiology conference, hosts a series of challenges inviting participants to tackle clinically interesting problems that are either unsolved or not well solved. PhysioNet invites contributions of databases and software from the biomedical community.