Between Dec 19, 2024 and Jan 2, 2025, datasets can be submitted to DRUM but will not be processed until after the break. Staff will not be available to answer email during this period, and will not be able to provide DOIs until after Jan 2. If you are in need of a DOI during this period, consider Dryad or OpenICPSR. Submission responses to the UDC may also be delayed during this time.
 

Arrhythmia Management: Control of Alternans & VIEgram for analysis and visualization of electrograms to aid Atrial Fibrillation Treatment

Loading...
Thumbnail Image

Persistent link to this item

Statistics
View Statistics

Journal Title

Journal ISSN

Volume Title

Title

Arrhythmia Management: Control of Alternans & VIEgram for analysis and visualization of electrograms to aid Atrial Fibrillation Treatment

Published Date

2020-07

Publisher

Type

Thesis or Dissertation

Abstract

Arrhythmia management - prediction, prevention and control of arrhythmias, is difficult mainly due to its spatiotemporal complexity and the poor understanding of mechanisms causing them. Therapies for managing arrhythmias can be focused at two macroscopic levels, namely cellular level and tissue/organ level. At cellular level, arrhythmias can be prevented by reviving the abnormal electrophysiological function of myocytes and thus preventing it from getting evolved into dangerous reentrant arrhythmias at the tissue level. For example, ventricular arrhythmias can be prevented by employing a pacing protocol to control cardiac alternans at cellular level. Whereas at tissue/organ level, the arrhythmia which is already present can be controlled. For example, the catheter ablation procedure, a procedure where tissue causing abnormal electrical activity is ablated, is used to treat AF on an organ level to return the heart back to its normal sinus rhythm. Also, at an organ level we can deal with the pre-existing factors contributing to arrhythmogenesis. Furthermore, a visualization of all the manifestations of arrhythmias on an organ level (3D models of a patient's heart) will not only help in understanding the complex spatiotemporal mechanisms behind them but will also facilitate the development of new techniques to treat them.

Description

University of Minnesota M.S. thesis.July 2020. Major: Biomedical Engineering. Advisor: Alena Talkachova. 1 computer file (PDF); vi, 59 pages.

Related to

Replaces

License

Series/Report Number

Funding information

Isbn identifier

Doi identifier

Previously Published Citation

Other identifiers

Suggested citation

Thakare, Sanket Yograj. (2020). Arrhythmia Management: Control of Alternans & VIEgram for analysis and visualization of electrograms to aid Atrial Fibrillation Treatment. Retrieved from the University Digital Conservancy, https://hdl.handle.net/11299/216316.

Content distributed via the University Digital Conservancy may be subject to additional license and use restrictions applied by the depositor. By using these files, users agree to the Terms of Use. Materials in the UDC may contain content that is disturbing and/or harmful. For more information, please see our statement on harmful content in digital repositories.