z-logo
open-access-imgOpen Access
Automation algorithm to detect and quantify Electrocardiogram waves and intervals
Author(s) -
Rajani Akula,
Hamdi M. Mohamed
Publication year - 2019
Publication title -
procedia computer science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.334
H-Index - 76
ISSN - 1877-0509
DOI - 10.1016/j.procs.2019.04.131
Subject(s) - electrocardiography , computer science , qrs complex , qt interval , automation , algorithm , artificial intelligence , pattern recognition (psychology) , cardiology , medicine , mechanical engineering , engineering
Electrocardiography is the principle of recording the electrical activity of the heart over finite duration of time. It is one of the most practiced methods to detect abnormalities in the heart's electrical, arterial and muscular systems. Electrocardiogram is the voltage versus time graph obtained from the Electrocardiography machine. Automated analysis makes detection of Electrocardiogram findings and consequently determination of pathological abnormalities without human intervention possible. To achieve this goal we process digital Electrocardiograms to quantify the amplitudes and durations of waves and intervals, that is necessary for the automated analysis to find the pathological abnormalities. The proposed method processes Electrocardiograms and localizes the P, Q, R, S and T waves, subsequently it measures the PR, QT and ST intervals and segments.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom