Craig S. Henriquez

Craig S. Henriquez

Professor of Biomedical Engineering

External Address: 
274 Hudson Hall Annex, Durham, NC 27708
Internal Office Address: 
Duke Box 90281, Durham, NC 27708-0281


Dr. Henriquez is also a Professor of Computer Science and Co-Director of the Center for Neuroengineering. Henriquez's research interests include large scale computing, heart modeling, and brain modeling.

A breakdown of the normal electrical activation sequence of the heart can sometimes lead to a state of ventricular fibrillation in which the heart ceases to function as an effective pump. Abnormal rhythms or arrhythmias often result after an episode of ischemia (a localized reduction of blood flow to the heart itself) which affects both the ionic processes necessary to elicit an impulse and the passive electrical properties of the tissue. Identifying the complex mechanisms of arrhythmogenesis will require experimentation as well as mathematical and computer models.

Current projects include the application of the bidomain model to diseased tissue to investigate how changes in tissue structure (both natural and diseased induced) and changes in ionic current flow influences the nature of conduction and the onset of arrhythmia.

Dr. Henriquez's group is also interested in developing realistic models that will enable investigators to better interpret electrophysiological measurements made in the clinic. For example, activation maps at the surface of the heart are typically constructed based on the detection of specific features of the surface extracellular recordings. However, for complex activation, such as might arise during an arrhythmia, the features are difficult to distinguish.

The use of models that simulate both activation and the resulting extracellular potential and the application of signal processing techniques can lead to a tool for constructing more meaningful maps from experimental recordings during abnormal conduction. This works involves direct interaction with experimental research performed in the Experimental Electrophysiology Laboratory under the direction of Dr. Patrick Wolf and the Cardiac Electrophysiology & Tissue Engineering lab under the direction of Dr. Nenad Bursac.

Education & Training

  • Ph.D., Duke University 1988

  • B.S., Duke University 1981

Henriquez, C. S., and W. Ying. The bidomain model of cardiac tissue: From microscale to macroscale. Dec. 2009, pp. 401–21. Scopus, doi:10.1007/978-0-387-79403-7_16. Full Text

Stinstra, J. G., et al. “Comparison of microscopic and bidomain models of anisotropic conduction.” Computers in Cardiology, vol. 36, Dec. 2009, pp. 657–60.

Hubbard, M. L., and C. S. Henriquez. “Increasing the effective interstitial resistivity promotes the escape of premature beats.” Computers in Cardiology, vol. 36, Dec. 2009, pp. 661–64.

Pourtaheri, Navid, et al. “Thresholds for transverse stimulation: fiber bundles in a uniform field.Ieee Transactions on Neural Systems and Rehabilitation Engineering : A Publication of the Ieee Engineering in Medicine and Biology Society, vol. 17, no. 5, Oct. 2009, pp. 478–86. Epmc, doi:10.1109/tnsre.2009.2033424. Full Text

Li, Zheng, et al. “Unscented Kalman filter for brain-machine interfaces.Plos One, vol. 4, no. 7, July 2009, p. e6243. Pubmed, doi:10.1371/journal.pone.0006243. Full Text

Jacquemet, Vincent, and Craig S. Henriquez. “Genesis of complex fractionated atrial electrograms in zones of slow conduction: a computer model of microfibrosis.Heart Rhythm, vol. 6, no. 6, June 2009, pp. 803–10. Epmc, doi:10.1016/j.hrthm.2009.02.026. Full Text

Kayagil, Turan A., et al. “A binary method for simple and accurate two-dimensional cursor control from EEG with minimal subject training.Journal of Neuroengineering and Rehabilitation, vol. 6, May 2009, p. 14. Epmc, doi:10.1186/1743-0003-6-14. Full Text

Jacquemet, Vincent, and Craig S. Henriquez. “Modulation of conduction velocity by nonmyocytes in the low coupling regime.Ieee Transactions on Bio Medical Engineering, vol. 56, no. 3, Mar. 2009, pp. 893–96. Epmc, doi:10.1109/tbme.2008.2006028. Full Text

Jacquemet, V., et al. “Electrogram fractionation caused by microfibrosis: Insights from a microstructure model.” Computers in Cardiology, vol. 35, Dec. 2008, pp. 1105–08. Scopus, doi:10.1109/CIC.2008.4749239. Full Text

Ying, Wenjun, et al. “Efficient fully implicit time integration methods for modeling cardiac dynamics.Ieee Transactions on Bio Medical Engineering, vol. 55, no. 12, Dec. 2008, pp. 2701–11. Epmc, doi:10.1109/tbme.2008.925673. Full Text