Costa Madalena, Moody George B, Henry Isaac, Goldberger Ary L
Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA 02215, USA.
J Electrocardiol. 2003;36 Suppl:139-44. doi: 10.1016/j.jelectrocard.2003.09.038.
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.org) 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.
由美国国立卫生研究院（NIH）资助的复杂生理信号研究资源库旨在促进和推动心血管及其他复杂生物医学信号研究方面的调查。该资源库网站（www.physionet.org）有三个相互依存的组成部分：1）生理信号库（PhysioBank）是一个经过充分表征的生理信号及相关数据的数字记录档案库，包括来自心力衰竭、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）生理信号处理工具包（PhysioToolkit）是一个用于生理信号处理和分析的开源软件库；3）生理网（PhysioNet），该资源库以此命名，是一个用于传播和交流记录的生物医学信号及用于分析这些信号的开源软件的在线论坛。生理网与年度计算机心脏病学会议合作，举办一系列挑战赛，邀请参与者解决临床上有趣但尚未解决或未得到很好解决的问题。生理网邀请生物医学领域的人士提供数据库和软件。
