Review of neural modelling on cardiovascular rehabilitation active processes by using cycloergometers

Abstract

This work gathers important developments carried out in a specific area of the Biomedical Engineering which applies advanced models based on Artificial Neural Networks to improve Cardiovascular Rehabilitation (CR) processes by using Cycloergometers. This work presents an updated revision of proposals, focusing on different problems involved in CR and considering features and requirements nowadays taken into account during their modelling processes. Furthermore, the signals analysed in these models are studied and presented below. Among them, a review of solutions applied to CR processes, focused on Computational Intelligence are cited.