Information Theory of the Heart Page

Contact: Hiroshi (hashika1@jhmi.edu)

Thank you for your interest in the project, "Information Theory of the Heart." Please join us any time and share your thoughts!

06/12/2014 04:30pm Brainstorming session

Why: To identify adaptive mechanisms leading to cardiac arrhythmia in diseased hearts. To localize the origin of arrhythmia (= wavebreak) and treat it before it happens.

Hypothesis: Arrhythmias result from an adaptive mechanism to optimize information transmission in abnormal hearts.

Challenge: Wavebreaks can occur in normal heart tissue.

How: Time series from a cellular automata model of the 2-D heart tissue. ?Time series of invasive electrogram from animal or human

What: To quantify information transmission within the heart
Mutual information - Calculate mutual information of two separate locations from binary time series (0–resting, 1–excited). A high mutual information suggests electrical coupling.

Thank you all for suggesting useful reference articles. Here is the list:

1. Cao et al., Detecting Dynamical Changes in Time Series Using the Permutation Entropy. Phys Rev E Stat Nonlin Soft Matter Phys 70: 046217, 2004 File:2004 CaoY PRE.pdf

2. Rosso et al., Distinguishing Noise from Chaos. Phys Rev Lett 99: 154102, 2007 File:2007 RossoOA PRL.pdf

3. Lacasa et al., From Time Series to Complex Networks: The Visibility Graph. PNAS 105: 4972, 2008 File:2008 LacasaL PNAS.pdf

4. Lizier et al., Local Information Transfer as a Spatiotemporal Filter for Complex Systems. Phys Rev E Stat Nonlin Soft Matter Phys 77: 026110, 2008 File:2008 LizierJT PRL.pdf

5. Cheong et al., Information Transduction Capacity of Noisy Biochemical Signaling Networks. Science 334: 354, 2011 File:2011 Cheong Science.pdf