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Infarction- or ischaemia-induced cardiac fibrosis can be arrythmogenic. We use mathematcal models for diffuse fibrosis ($mathcal{DF}$), interstitial fibrosis ($mathcal{IF}$), patchy fibrosis ($mathcal{PF}$), and compact fibrosis ($mathcal{CF}$) to study patterns of fibrotic cardiac tissue that have been generated by new mathematical algorithms. We show that the fractal dimension $mathbb{D}$, the lacunarity $mathcal{L}$, and the Betti numbers $beta_0$ and $beta_1$ of such patterns are textit{fibrotic-tissue markers} that can be used to characterise the arrhythmogenicity of different types of cardiac fibrosis. We hypothesize, and then demonstrate by extensive textit{in silico} studies of detailed mathematical models for cardiac tissue, that the arrhytmogenicity of fibrotic tissue is high when $beta_0$ is large and the lacunarity parameter $b$ is small.
We present the relation between the genus in cosmology and the Betti numbers for excursion sets of three- and two-dimensional smooth Gaussian random fields, and numerically investigate the Betti numbers as a function of threshold level. Betti numbers
We study the expected behavior of the Betti numbers of arrangements of the zeros of random (distributed according to the Kostlan distribution) polynomials in $mathbb{R}mathrm{P}^n$. Using a random spectral sequence, we prove an asymptotically exact e
We introduce a new class of monomial ideals which we call symmetric shifted ideals. Symmetric shifted ideals are fixed by the natural action of the symmetric group and, within the class of monomial ideals fixed by this action, they can be considered
Let $(A, m, k)$ be a Gorenstein local ring of dimension $ dgeq 1.$ Let $I$ be an ideal of $A$ with $htt(I) geq d-1.$ We prove that the numerical function [ n mapsto ell(ext_A^i(k, A/I^{n+1}))] is given by a polynomial of degree $d-1 $ in the case w
An electrocardiogram (EKG) is a common, non-invasive test that measures the electrical activity of a patients heart. EKGs contain useful diagnostic information about patient health that may be absent from other electronic health record (EHR) data. As