Bioelectric Engineering

Electrobiology and Neural Engineering research at Duke focuses upon the electrical activity of the heart and nervous system as well as applications for the treatment of cardiac and neurological disorders. The fields of cardiac bioelectricity and neural engineering share many of the same fundamental principles, tools, hardware, and commercial outlets, and we exploit these similarities to provide an integrated program and research and education.

Cardiac Electrophysiology

Current research activities in the heart span a range of length scales from the ion-channel to the organ level. One of the main areas of focus is the development of realistic mathematical and computer models of cardiac muscle.

One of the strengths of electrophysiology research at Duke is the close relationship between modelers and experimentalists. In vitro experimental work uses micropatterning of cardiac cells and optical mapping of membrane potentials to study the normal and abnormal electrical function of synthetic heart tissues. Animal experimental work uses high-density electrical mapping to examine the effect of interventional therapies (e.g. catheter ablation and automatic implantable cardioverter/defibrillator implantation) upon electrical activity of the heart. Experimental and simulation studies are being conducted to elucidate the electrophysiological processes underlying arrhythmias and arrhythmia control.

Duke BME heart researchers also collaborate with the Center for Nonlinear and Complex Systems and faculty from Duke's Math and Physics Departments in using methods of nonlinear dynamics to characterize and control electrical activity of the heart.

Neural Engineering

Current research activity in Neural Engineering includes deep brain stimulation for the treatment of motor disorders, electrical stimulation for restoration of bladder function, electrical stimulation for restoration of multi-joint motor function (e.g., reaching), and design of novel electrodes, stimulation methods and data acquisition systems to record from or stimulate specific areas of the nervous system. Another part of the research aims at understanding how large populations of neurons can efficiently communicate information and how communication pathways can be dynamically re-configured. This work is conducted in the context of spatial and emotional memory and decision making and is aimed at the treatment of learning deficits and memory disorders.

The research involves a variety of in vitro, in vivo and computational modeling techniques that bridge knowledge of the detailed biophysical mechanisms of single neurons with the study of their activity at the population level.

The Duke Departments of Biomedical Engineering and Neurobiology have established a joint Center for Neuroengineering. Research in the Center focuses on the development of neuro-based technologies such as brain machine interfaces, neural prostheses, system-level computational modeling, and on the application of electrophysiological and functional imaging techniques to both monitor and treat neurological diseases.

Duke BME Neural Engineering researchers collaborate with faculty in Cardiology, the Center for Cognitive Neuroscience, Computer Science, Neurobiology, Neurology, Neurosurgery, Mathematics, Pediatrics, Psychological and Brain Sciences, Radiology, and Physics and Urology.

Bioelectric Engineering Faculty

Dr. Barr's research interests include bioelectricity and biomedical computing.
Professor of Biomedical Engineering
Bursac's research interests include embryonic and adult stem cell therapies for heart and muscle disease. Cardiac and skeletal muscle tissue engineering. Cardiac electrophysiology and arrhythmias. Genetic modifications of stem and somatic cells. Micropatterning of proteins and hydrogels.
Assistant Professor in the Department of Biomedical Engineering
We're interested in recording and understanding brain activity by developing novel combinations of optical microscopy and genetically encoded sensors. Using these technologies, we wish to dissect neural circuit function and investigate how neural activity drives complex behaviors....
Professor of Biomedical Engineering
Dr. Grill's research interests and in neural engineering and neural prostheses and include design and testing of electrodes and stimulation techniques, the electrical properties of tissues and cells, and computational neuroscience with applications in restoration of bladder function, treatment of...
James L. and Elizabeth M. Vincent Professor of Biomedical Engineering, in the Edmund T. Pratt, Jr. School of Engineering
Henriquez's research interests include large scale computing, heart modeling, and brain modeling.
Jeffrey N. Vinik Professor of Biomedical Engineering in the Edmund T. Pratt, Jr. School of Engineering
Research Interests: Electroporation-mediated drug delivery and gene therapy; Control of cardiac arrhythmias using nonlinear dynamics
Duke School of Medicine Professor in Neuroscience
Dr. Nicolelis investigates how the brains of freely behaving animals encode sensory and motor information. He was first to propose and demonstrate that animals and human subjects can utilize their electrical brain activity to directly control neuroprosthetic devices via brain-machine interfaces (...
Associate Professor in Psychiatry and Behavioral Sciences
I direct the Brain Stimulation Engineering Lab (BSEL) which focuses on the development and modeling of devices and application paradigms for transcranial brain stimulation. Transcranial brain stimulation involves non-invasive delivery of fields (e.g., electric and magnetic) to the brain that...
Associate Professor of Biomedical Engineering
Dr. Marc Sommer studies neuronal circuits of the brain. Research in his laboratory involves recording from single neurons and studying the effects of inactivating or stimulating well-defined brain areas. His goals are to understand how individual areas process signals and how multiple areas...
Assistant Professor in the Department of Biomedical Engineering
Dr. Viventi's research uses flexible electronics to create new technology for interfacing with the brain at high resolution over large areas. These new tools can help diagnose and treat neurological disorders such as epilepsy, and help improve the performance of brain machine interfaces.
Associate Professor of Biomedical Engineering
Wolf's research is primarily in the area of advanced instrumentation for diagnosis and treatment of electrophysiological problems. This research covers two primary organ systems: the heart and the brain. In the heart, Dr. Wolf is developing an image guided ablation system for treatment of...