Output details
13 - Electrical and Electronic Engineering, Metallurgy and Materials
University of Southampton
An automated algorithm for online detection of fragmented QRS and identification of its various morphologies
Significance of output:
This international collaboration developed an automated algorithm for detecting 22 types of fragmented QRS morphologies in ECG signals using novel time-frequency signal processing techniques facilitating early detection of developing heart abnormalities. Testing on 31 patients show detection sensitivity and specificity of 89.7% and 89.9% respectively. It forms part of a complete mobile wearable ECG analysis system currently under trial with 50 class-III CHF patients at Southampton General hospital, UK and Policlinico Umberto I, Italy, and has been identified as the potential solution for home monitoring of CVD patients by large enterprises like Philips Healthcare, Intracom telecom, Atos Origin and Barco.