Within the healthcare domain, big data is defined as any``high volume, high diversity
biological, clinical, environmental, and lifestyle information collected from single individuals …

In this paper we present a new expert knowledge based clinical decision support system for
prediction of intensive care units outcome based on the physiological measurements …

Goal: Time–frequency analysis incorporating the wavelet transform followed by the principal
component analysis (WT-PCA) has been a powerful approach for the analysis of biomedical …

The automatic detection and classification of cardiac arrhythmia is important for diagnosis of
cardiac abnormalities. Premature Ventricular Contraction (PVC) can be seen in …

Artificial metaplasticity is the machine learning algorithm inspired in the biological
metaplasticity of neural synapses. Metaplasticity stands for plasticity of plasticity, and as long …

Cardiovascular disease, including heart disease and stroke, remains the leading cause of
death around the world. Yet, most heart attacks and strokes could be prevented if it were …

Abstract KLN (Koniocortex Like Network) is a novel Bioinspired Artificial Neural Network that
models relevant biological properties of neurons as Synaptic Directionality, Long Term …

Abstract Artificial Metaplasticity are Artificial Learning Algorithms based on modelling higher
level properties of biological plasticity: the plasticity of plasticity itself, so called Biological …

In this paper an attempt has been made to determine the number of Premature Ventricular
Contraction (PVC) cycles accurately from a given Electrocardiogram (ECG) using a wavelet …

Time-frequency representiation has been intensively employed for the analysis of
biomedical signals. In order to extract discriminative information, time-frequency matrix is …