Information-Based Similarity
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. http://link.aps.org/abstract/PRL/v90/e108103
Pollard, T., Moody, B. E., Lehman, L., Gow, B., Fernandes, C., Xie, C., Johnson, A., Mark, R. G., & Heldt, T. (2026). PhysioNet as a global platform for biomedical research. Nature Health. https://doi.org/10.1038/s44360-026-00096-z. Available from: https://rdcu.be/faatM
Software Description
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.
Files
Total uncompressed size: 807.2 KB.
Access the files
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Download the files using your terminal:
wget -r -N -c -np https://physionet.org/files/ibs/1.0.0/
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Download the files using AWS command line tools:
aws s3 sync --no-sign-request s3://physionet-open/ibs/1.0.0/ DESTINATION
| Name | Size | Modified |
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| doc | ||
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| src |