Software Open Access
Published: Oct. 26, 2004. Version: 1.0.0
IBS: Information-Based Similarity (Oct. 26, 2004, midnight)
IBS is a novel linguistic analysis method that has been successfully applied to studies of inter-beat interval time series, the origin of the SARS coronavirus, and the authorship of Shakespeare's plays. Software and an IBS tutorial are available here.
Yang AC, Hseu SS, Yien HW, Goldberger AL, Peng CK: Linguistic analysis of the human heartbeat using frequency and rank order statistics. Phys Rev Lett 2003, 90: 108103.
Please include the standard citation for PhysioNet:
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Goldberger, A., Amaral, L., Glass, L., Hausdorff, J., Ivanov, P. C., Mark, R., ... & Stanley, H. E. (2000). PhysioBank, PhysioToolkit, and PhysioNet: Components of a new research resource for complex physiologic signals. Circulation [Online]. 101 (23), pp. e215–e220.
IBS is a novel method for comparing time series based on linguistic analysis of "word" frequency and rank order statistics. It has been applied successfully in a variety of applications, including analysis of interbeat (RR) intervals, classification of the SARS coronavirus, and study of literary works of disputed authorship.
A tutorial introduction to the IBS method is available here, and IBS software may be downloaded from the src directory.
Albert CC Yang has provided an introduction to IBS for general audiences, focusing on analysis of written text, together with an alternative implementation of IBS aimed at textual analysis.
Anyone can access the files, as long as they conform to the terms of the specified license.
License (for files):
Open Data Commons Attribution License v1.0
interbeat rr interval complexity
Total uncompressed size: 807.2 KB.
Access the files
Download the files using your terminal:
wget -r -N -c -np https://physionet.org/files/ibs/1.0.0/