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URL: http://www.physionet.org/physiotools/
Proper Citation: PhysioToolkit (RRID:SCR_006868)
Description: Growing library of software for physiologic signal processing and analysis, detection of physiologically significant events using both classical techniques and novel methods based on statistical physics and nonlinear dynamics, interactive display and characterization of signals, creation of new databases, simulation of physiologic and other signals, quantitative evaluation and comparison of analysis methods, and analysis of nonequilibrium and nonstationary processes. A unifying theme of the research projects that contribute software to PhysioToolkit is the extraction of hidden information from biomedical signals, information that may have diagnostic or prognostic value in medicine, or explanatory or predictive power in basic research. Contributions of software to PhysioToolkit are welcome, http://physionet.org/guidelines.shtml#software-contributions
Abbreviations: PhysioToolkit
Resource Type: software resource, data analysis software, software repository, time-series analysis software, data processing software, source code, software application, signal processing software
Defining Citation: PMID:10851218
Keywords: signal processing, analysis, matlab, wfcb, data visualization, data mining, model, simulation, deidentification, data import, data export
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The NIDDK Information Network (dkNET) serves the needs of basic and clinical investigators by providing seamless access to large pools of data and research resources relevant to the mission of The National Institute of Diabetes Digestive and Kidney Diseases (NIDDK). dkNET is hosted at University of California San Diego, and is supported by NIH NIDDK grant 2U24DK097771-09.
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