Goldberger A L, Amaral L A, Glass L, Hausdorff J M, Ivanov P C, Mark R G, Mietus J E, Moody G B, Peng C K, Stanley H E
Margret and H.A. Rey Laboratory for Nonlinear Dynamics in Medicine, Beth Israel Deaconess Medical Center/Harvard Medical School, Boston, MA 02215, USA.
Circulation. 2000 Jun 13;101(23):E215-20. doi: 10.1161/01.cir.101.23.e215.
The newly inaugurated Research Resource for Complex Physiologic Signals, which was created under the auspices of the National Center for Research Resources of the National Institutes of Health, is intended to stimulate current research and new investigations in the study of cardiovascular and other complex biomedical signals. The resource has 3 interdependent components. PhysioBank is a large and growing archive of well-characterized digital recordings of physiological signals and related data for use by the biomedical research community. It currently includes databases of multiparameter cardiopulmonary, neural, and other biomedical signals from healthy subjects and from patients with a variety of conditions with major public health implications, including life-threatening arrhythmias, congestive heart failure, sleep apnea, neurological disorders, and aging. PhysioToolkit is a library of open-source software for physiological signal processing and analysis, the detection of physiologically significant events using both classic techniques and novel methods based on statistical physics and nonlinear dynamics, the interactive display and characterization of signals, the creation of new databases, the simulation of physiological and other signals, the quantitative evaluation and comparison of analysis methods, and the analysis of nonstationary processes. PhysioNet is an on-line forum for the dissemination and exchange of recorded biomedical signals and open-source software for analyzing them. It provides facilities for the cooperative analysis of data and the evaluation of proposed new algorithms. In addition to providing free electronic access to PhysioBank data and PhysioToolkit software via the World Wide Web (http://www.physionet. org), PhysioNet offers services and training via on-line tutorials to assist users with varying levels of expertise.
新成立的复杂生理信号研究资源库是在美国国立卫生研究院国家研究资源中心的支持下创建的,旨在推动心血管及其他复杂生物医学信号研究领域的现有研究和新调查。该资源库有三个相互依存的组成部分。生理信号库(PhysioBank)是一个规模庞大且不断扩充的档案库,存有特征明确的生理信号数字记录及相关数据,供生物医学研究界使用。它目前包括来自健康受试者以及患有各种对公众健康有重大影响疾病(包括危及生命的心律失常、充血性心力衰竭、睡眠呼吸暂停、神经疾病和衰老)患者的多参数心肺、神经及其他生物医学信号数据库。生理信号处理工具包(PhysioToolkit)是一个开源软件库,用于生理信号处理与分析、运用经典技术以及基于统计物理学和非线性动力学的新方法检测具有生理意义的事件、信号的交互式显示与特征描述、新数据库的创建、生理及其他信号的模拟、分析方法的定量评估与比较,以及非平稳过程的分析。生理信号网络(PhysioNet)是一个在线论坛,用于传播和交流记录的生物医学信号以及用于分析这些信号的开源软件。它提供数据协作分析和对新提出算法进行评估的设施。除了通过万维网(http://www.physionet.org)提供对生理信号库数据和生理信号处理工具包软件的免费电子访问外,生理信号网络还通过在线教程提供服务和培训,以帮助不同专业水平的用户。