Diagnosis of etiology in early-stage ischemic heart disease (IHD) and dilated
cardiomyopathy (DCM) patients may be challenging. We aimed at investigating, by means of …

The diagnosis of heart diseases is a difficult task generally addressed by an appropriate
examination of patients' clinical data. Recently, the use of heart rate variability (HRV) …

Dilated cardiomyopathy (DCM) is a heart muscle disease characterized by left ventricular
(LV) or biventricular dilatation and systolic dysfunction in the absence of either pressure or …

Continuous foetal monitoring of physiological signals is of particular importance for early
detection of complexities related to the foetus or the mother's health. The available …

Deep learning is a sub-field of machine learning that emerged as a noticeable model in the
world, specifically for the disease classification field. This work aims to review the state-of …

Ischemic heart disease (IHD), particularly in its chronic stable form, is a subtle pathology due
to its silent behavior before developing in unstable angina, myocardial infarction or sudden …

It is hypothesized that a key characteristic of electrocardiogram (ECG) signal is its nonlinear
dynamic behaviour and that the nonlinear component changes more significantly between …

The focus of my research activity has been on the processing of cardiovascular signals in
order to be able to use them as a support tool for doctors in their clinical decision making …

In order to prove that the improved RF algorithm had higher accuracy, the comparing
analysis was conducted adapting ECG data. In pre-processing stage, Band-pass Filter was …

Whilst many in healthcare view the arrival of the era of big data as an overwhelmingly
positive thing, there are some who refute that claim and increasingly point out the limitations …