No description available.

No description available.

Understanding the mechanisms behind unexplained abnormal heart rhythms is important for diagnosis and prevention of arrhythmias. Many studies have investigated the mechanisms at organ, tissue, cellular and molecular levels. There is considerable information available from tissue level experiments that investigate local action potential properties and from optical imaging to observe activity propagation properties at an organ level. By combining those electrophysiological properties together, in the present study we developed a simulation model that can help in estimation of the resulting body surface potentials from a specific electrical activity pattern within the myocardium. Some of the potential uses of our model include: 1) providing visualization of an entire electrophysiological event, i.e. surface potentials and associated source which would be optical imaging data, 2) estimation of QT intervals resulting from local action potential property changes, 3) aiding in improving defibrillation therapy by determining optimal timing and location of shocks.

No description available.

Lenticular sheets can be used with machine vision to determine relative position between two objects. If a lenticular sheet of a given period is mounted above periodically spaced lines sharing the same period, lines will appear on the lenticular sheet which translate along the lenticular sheet in a direction perpendicular to observer motion. This behavior is modeled theoretically and tested experimentally, and found to be linear within a finite range. By arranging two lenticular sheets, configured as described above, in a mutually orthogonal configuration on a flat surface, the lines that appear on the lenticular sheets can be used by a camera to estimate its position relative to the lenticular sheets. Two such devices were constructed to test the principle, and machine vision code was developed to ascertain position using these devices. Machine vision code was found to reliably provide angular position of a camera within $1.4^circ$ through experimental testing. The optical patterns that appear on the lenticular sheet surfaces are monitored using a digital camera. The resulting images are analyzed using visual C++ in conjunction with the OpenCV library and the appropriate camera device drivers. The system is able to estimate height, yaw, and position relative to the optical target in real time and without the need for a prior reference.

Thesis (Ph. D.)--Ohio State University, 2008. / Title from first page of PDF file. Includes bibliographical references (p. 299-207).

Thesis (M.S.)--University of Missouri-Columbia, 2007. / The entire dissertation/thesis text is included in the research.pdf file; the official abstract appears in the short.pdf file (which also appears in the research.pdf); a non-technical general description, or public abstract, appears in the public.pdf file. Title from title screen of research.pdf file (viewed on April 7, 2008) Includes bibliographical references.

Thesis (Ph. D.)--University of Texas at Austin, 2008. / Vita. Includes bibliographical references and index.

Thesis (Ph.D.)--Rochester Institute of Technology, 2008. / Typescript. Includes bibliographical references (p. 133-137).

Thesis (Ph. D.)--University of Missouri-Columbia, 1996. / Typescript. Vita. Includes bibliographical references (leaves 117-124). Also available on the Internet.