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Evan V Jenkins

Explore the profile of Evan V Jenkins including associated specialties, affiliations and a list of published articles. Areas
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Recent Articles
1.
Dharmaprani D, Tiver K, Shahrbabaki S, Jenkins E, Chapman D, Strong C, et al.
Circ Arrhythm Electrophysiol . 2024 Jun; 17(7):e012684. PMID: 38939983
Background: Atrial fibrillation (AF) and ventricular fibrillation (VF) episodes exhibit varying durations, with some spontaneously ending quickly while others persist. A quantitative framework to explain episode durations remains elusive. We...
2.
Dharmaprani D, Jenkins E, Tiver K, Shahrbabaki S, Strong C, Chapman D, et al.
Annu Int Conf IEEE Eng Med Biol Soc . 2023 Dec; 2023:1-4. PMID: 38083259
Atrial fibrillation (AF) strikingly possesses the ability to abruptly transition into more organized electrical activity and spontaneously terminate, even after persisting for long periods. Despite being central to the clinical...
3.
Jenkins E, Dharmaprani D, Schopp M, Quah J, Tiver K, Mitchell L, et al.
Chaos . 2023 Jun; 33(6). PMID: 37307158
Atrial and ventricular fibrillation (AF/VF) are characterized by the repetitive regeneration of topological defects known as phase singularities (PSs). The effect of PS interactions has not been previously studied in...
4.
Jenkins E, Dharmaprani D, Schopp M, Quah J, Tiver K, Mitchell L, et al.
Front Physiol . 2022 Sep; 13:920788. PMID: 36148313
Renewal theory is a statistical approach to model the formation and destruction of phase singularities (PS), which occur at the pivots of spiral waves. A common issue arising during observation...
5.
Jenkins E, Dharmaprani D, Schopp M, Quah J, Tiver K, Mitchell L, et al.
Chaos . 2022 Apr; 32(3):032101. PMID: 35364849
The mechanisms governing cardiac fibrillation remain unclear; however, it most likely represents a form of spatiotemporal chaos with conservative system dynamics. Renewal theory has recently been suggested as a statistical...
6.
Dharmaprani D, Jenkins E, Quah J, Lahiri A, Tiver K, Mitchell L, et al.
Heart Rhythm . 2021 Oct; 19(2):295-305. PMID: 34662707
Background: Ventricular fibrillation (VF) is characterized by multiple wavelets and rotors. No equation to predict the number of rotors and wavelets observed during fibrillation has been validated in human VF....