IBS: Information-Based Similarity

This method was first proposed in: 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 cite the above publication when referencing this material, and also include the standard citation for PhysioNet:

Goldberger AL, Amaral LAN, Glass L, Hausdorff JM, Ivanov PCh, Mark RG, Mietus JE, Moody GB, Peng C-K, Stanley HE. PhysioBank, PhysioToolkit, and PhysioNet: Components of a New Research Resource for Complex Physiologic Signals. Circulation 101(23):e215-e220 [Circulation Electronic Pages; http://circ.ahajournals.org/content/101/23/e215.full]; 2000 (June 13).

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 here.

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.

Questions and Comments

If you would like help understanding, using, or downloading content, please see our Frequently Asked Questions.

If you have any comments, feedback, or particular questions regarding this page, please send them to the webmaster.

Comments and issues can also be raised on PhysioNet's GitHub page.

Updated Tuesday, 04-Oct-2016 21:25:36 CEST

PhysioNet is supported by the National Institute of General Medical Sciences (NIGMS) and the National Institute of Biomedical Imaging and Bioengineering (NIBIB) under NIH grant number 2R01GM104987-09.