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NIMBioS Working Group:

Prediction and Control of Cardiac Alternans

Cardiac image.

Topic: Prediction and Control of Cardiac Alternans

Meeting dates: May 2-4, 2016; December 14-16, 2016; December 11-13, 2017

Organizers:
Alena Talkachova, Biomedical Engineering, Univ. of Minnesota
Xiaopeng Zhao, Mechanical, Aerospace, and Biomedical Engineering, Univ. of Tennessee, Knoxville

Objectives: Cardiac alternans manifests at the cellular level as a beat-to-beat alternation in action potential duration (APD) and at the whole heart level as an alternating change in the amplitude or shape of the T-wave in the electrocardiogram (ECG). Cardiac alternans, which results from dynamical instability of the heart's electrical activities, is a precursor of complex cardiac rhythms, and specifically, ventricular fibrillation. It has been proposed that the onset of APD alternans could be predicted by analyzing the restitution properties of periodically paced cardiac myocytes. Several criteria have been developed to predict and to control APD alternans, but practical implementation is yet very limited.

Ideas for this working group benefited from discussions at the recent NIMBioS Investigative Workshop: Mathematical Modeling of Heart Rhythm Disorders, which took place on December 3-5, 2014, organized by Alena Talkachova, John Wesley Cain, and Xiaopeng Zhao. We aim to further investigate a few important problems identified at the Workshop. Specifically, we will (1) use a system-based approach to develop and test new algorithms for APD alternans prediction, both at cellular and tissue levels; (2) translate the criteria for predicting APD alternans into whole-heart ECG recording; and (3) develop novel control schemes to suppress alternans using bifurcation control and optimization techniques.


Cardiac image.

Meeting Summaries


Mtg # Dates Agenda Summary Photo Evaluation
1 May 2-4, 2016 pdf Link Link Report
2 Dec 14-16, 2016 pdf Link Link -
3 Dec 11-13, 2017

Meeting 1 Summary. Presentations and discussions focused mainly on the following four topics: 1) control of cardiac alternans; 2) system identification and state estimation; 3) bridging the gap between model and experiment; and 4) mechanisms of cardiac alternans. At the end of the meeting, participants summarized the presentations and discussions and jointly provided prospect for future meetings. The group suggested that we include two additional members who will bring expertise that is very relevant in addressing key aspects of all the discussed topics. Their experience and expertise are particularly crucial in addressing questions about bridging the gap between models and experiments.

Meeting 2 Summary. The group identified two topics of interests during the first meeting, which were explored in more details during second meeting: 1) Control and prevention of cardiac alternans. The group discussed theoretical and experimental perspectives, implementation details and outcomes of constant diastolic-interval control for prevention and control of cardiac alternans in 0D, 1D, 2D and 3D. 2) System identification in cardiac dynamics. The group discussed the importance of system identification as a strategy to provide personalized control approaches: when to control, what to control, and how to control.

Group photo.
Meeting 1 Participants (L to R): Roman Grigoriev, Flavio Fenton, Elizabeth Cherry, Sharon Zlochiver, Trine Krogh-Madsen, Laura Munoz, Xiaopeng Zhao, Alena Talkachova, Yohannes Shiferaw, Ling Xia.

Group photo.
Meeting 2 Participants (L to R): Laura Munoz, Roman Grigoriev, Flavio Fenton, Elizabeth Cherry, Xiaopeng Zhao, Alena Talkachova, Sharon Zlochiver, Trine Krogh-Madsen.
 

NIMBioS Working Groups are chosen to focus on major scientific questions at the interface between biology and mathematics. NIMBioS is particularly interested in questions that integrate diverse fields, require synthesis at multiple scales, and/or make use of or require development of new mathematical/computational approaches. NIMBioS Working Groups are relatively small (up to 10 participants), focus on a well-defined topic, and have well-defined goals and metrics of success. Working Groups will meet up to 3 times over a two-year period, with each meeting lasting up to 2.5 days.

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NSF logo. NIMBioS is sponsored by the National Science Foundation through NSF Award #DBI-1300426, with additional support from The University of Tennessee, Knoxville. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.
 
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