Author

D. Dharmaprani

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Physiology· 2

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 2 Assay:electrophysiology· 2 Organism:human· 2 Approach:statistical model· 2 Organism:mouse· 1 Organism:rat· 1

Frequent Co-Authors

A. N. Ganesan· 2 shared L. Mitchell· 2 shared M. Aguilar· 2 shared S. Nattel· 2 shared A. G. McGavigan· 1 shared A. Lahiri· 1 shared B. Strauss· 1 shared C. Meyer· 1 shared

Activity by Year

2019-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 40 mutual co-author links

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2 shared papersPhysiology

A. N. Ganesan

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2 papers

Recent·Most cited

Spatial autocorrelation dimension as a potential determinant for the temporal persistence of human atrial and ventricular fibrillation.

D. Dharmaprani, E. V. Jenkins, K. Tiver, J. X. Quah, L. Mitchell, M. Tung, W. Ahmad, N. Stoyanov, M. Aguilar, M. P. Nash, R. H. Clayton, S. Nattel, A. N. Ganesan

The paper investigates whether the spatial autocorrelation dimension (Di) predicts the time to termination of human atrial and ventricular fibrillation.

bioRxiv · Apr 12, 2023 · PreprintPhysiology

Renewal theory provides a universal quantitative framework to characterise the continuous regeneration of rotational events in cardiac fibrillation

D. Dharmaprani, M. Schopp, P. Kuklik, D. Chapman, A. Lahiri, L. Dykes, F. Xiong, M. Aguilar, B. Strauss, L. Mitchell, K. Pope, C. Meyer, S. Willems, F. G. Akar, S. Nattel, , A. N. Ganesan

The paper applies renewal theory to model phase singularity dynamics in cardiac fibrillation across species, finding exponential inter-event time distributions with consistent rate parameters.

bioRxiv · Apr 4, 2019 · PreprintPhysiology