Emerging Researchers National (ERN) Conference

nsf-logo[1]

  • About
    • About AAAS
    • About the NSF
    • About the Conference
    • Partners/Supporters
    • Project Team
  • Registration
    • Conference Registration
    • Exhibitor Registration
    • Hotel Reservations
  • Abstracts
    • Abstract Submission Process
    • Presentation Schedules
    • Abstract Submission Guidelines
    • Presentation Guidelines
    • Undergraduate Abstract Locator (2020)
    • Graduate Abstract Locator (2020)
    • Faculty Abstract Locator (2020)
  • Travel Awards
  • Resources
    • App
    • Award Winners
    • Code of Conduct-AAAS Meetings
    • Code of Conduct-ERN Conference
    • Conference Agenda
    • Conference Materials
    • Conference Program Books
    • ERN Photo Galleries
    • Events | Opportunities
    • Exhibitor Info
    • HBCU-UP/CREST PI/PD Meeting
    • In the News
    • NSF Harassment Policy
    • Plenary Session Videos
    • Professional Development
    • Science Careers Handbook
    • Additional Resources
    • Archives
  • Engage
    • Webinars
    • Video Contest
    • Video Contest Winners
    • ERN 10-Year Anniversary Videos
    • Plenary Session Videos
  • Contact Us
  • App View

Control of Cardiac Tissue Using Feedback-Based Synchronization

Undergraduate #66
Discipline: Mathematics and Statistics
Subcategory:

Andre Lesartre - Colorado School of Mines
Co-Author(s): Nirja Dave, University of Pittsburgh, Pittsburgh, PA



Cardiac arrhythmias are a type of heart disease caused by the irregular propagation of electrical signals in the heart. The resultant waves can have complex patterns including one or more spiral waves. We assess the effectiveness of synchronization to control complex spiral-wave dynamics in two-dimensional cardiac tissue using three different reaction-diffusion models, each consisting of a voltage variable and a recovery variable. Our approach involves synchronizing two unidirectionally coupled systems by applying a feedback term that is proportional to the difference in the voltage variable averaged locally over uniformly spaced sensors to one of the systems, with the quality of synchronization measured in the voltage. Our study extends previous work by Berg et al. through the use of additional cardiac-specific models, a time-discrete feedback term, different initial conditions for the response system, and different model parameters for the driver and response systems. We vary model and synchronization parameters to determine the range of conditions for which synchronization is possible. Our findings indicate that synchronization can be achieved for many cases, even with differences in the inherent dynamics of the driver and response systems.

Funder Acknowledgement(s): NSF, Rochester Institute of Technology REU

Faculty Advisor: Elizabeth Cherry, excsma@rit.edu

Role: Running simulations, interpreting data, creating new questions to explore

ERN Conference

Celebrating 10 years of ERN!

What’s New

  • Webinars
  • Events|Opportunities
  • AAAS CEO Comments on Social Unrest, Racism, and Inequality
  • Maintaining Accessibility in Online Teaching During COVID-19
  • In the News
  • #ShutDownSTEM
  • HBCU/CREST PI/PD Meeting

Conference Photos

ERN Conference Photo Galleries

Awards

ERN Conference Award Winners

Checking In

Navigation

  • About the ERN Conference
  • Partners/Supporters
  • Abstracts
  • Travel Awards
  • Conference Registration
  • Exhibitor Registration
  • Hotel Reservations

nsf-logo[1]

This material is based upon work supported by the National Science Foundation (NSF) under Grant No. DUE-1930047. Any opinions, findings, interpretations, conclusions or recommendations expressed in this material are those of its authors and do not represent the views of the AAAS Board of Directors, the Council of AAAS, AAAS’ membership or the National Science Foundation.

AAAS

1200 New York Ave, NW Washington,DC 20005
202-326-6400
Contact Us
About Us

The World's Largest General Scientific Society

Useful Links

  • Membership
  • Careers at AAAS
  • Privacy Policy
  • Terms of Use

Focus Areas

  • Science Education
  • Science Diplomacy
  • Public Engagement
  • Careers in STEM

 

  • Shaping Science Policy
  • Advocacy for Evidence
  • R&D Budget Analysis
  • Human Rights, Ethics & Law
© 2021 American Association for the Advancement of Science