Actions

Information Theory of the Heart Page: Difference between revisions

From Santa Fe Institute Events Wiki

No edit summary
No edit summary
Line 3: Line 3:
Thank you for your interest in our project. Please join us any time and share your thoughts!<br>
Thank you for your interest in our project. Please join us any time and share your thoughts!<br>
<br>
<br>
'''06/12/2014 04:30pm Brainstorming session'''<br>
'''06/12/2014 Brainstorming Session'''<br>
''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.<br>
''Why'': To identify adaptive mechanisms leading to cardiac arrhythmia in diseased hearts. Then localize the origin of arrhythmia (= wavebreak) and treat it before it happens.<br>
<br>
''Hypothesis'': Arrhythmias result from an adaptive mechanism to optimize information transmission in abnormal hearts.<br>
''Hypothesis'': Arrhythmias result from an adaptive mechanism to optimize information transmission in abnormal hearts.<br>
<br>
''Challenge'': Wavebreaks can occur in normal heart tissue.<br>
''Challenge'': Wavebreaks can occur in normal heart tissue.<br>
<br>
''How'': Time series from a cellular automata model of the 2-D heart tissue. ?Time series of invasive electrogram from animal or human<br>
''How'': Time series from a cellular automata model of the 2-D heart tissue. ?Time series of invasive electrogram from animal or human<br>
<br>
''What'': To quantify information transmission within the heart<br>
''What'': To quantify information transmission within the heart<br>
Potential Metrics<br>
Potential Metrics<br>
Line 18: Line 14:
Transfer Entropy - <br>
Transfer Entropy - <br>


 
'''06/13/2014 Unofficial Brainstorming Session'''<br>
 
 
 
Thank you all for suggesting useful reference articles. Here is the list:
Thank you all for suggesting useful reference articles. Here is the list:



Revision as of 04:12, 14 June 2014

Contact: Hiroshi (hashika1@jhmi.edu)

Thank you for your interest in our project. Please join us any time and share your thoughts!

06/12/2014 Brainstorming Session
Why: To identify adaptive mechanisms leading to cardiac arrhythmia in diseased hearts. Then 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
Potential Metrics
Mutual information - Calculate mutual information of two separate locations from binary time series (0–resting, 1–excited). A high mutual information suggests electrical coupling.
Permutation Entropy -
Transfer Entropy -

06/13/2014 Unofficial Brainstorming Session
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