Evaluation of cardiac signals using discrete wavelet transform with MATLAB graphical user interface

• Published in: Indian heart journal Vol. 67; no. 6; pp. 549 - 551
• Main Authors: John, Agnes Aruna, Subramanian, Aruna Priyadharshni, Jaganathan, Saravana Kumar, Sethuraman, Balasubramanian
• Format: Journal Article
• Language: English
• Published: India Elsevier B.V 01.11.2015; Elsevier
• Subjects: Algorithms; Arrhythmias, Cardiac - diagnosis; Arrhythmias, Cardiac - physiopathology; Bayes Theorem; Cardiovascular; Electrocardiogram (ECG); Electrocardiography; Graphical user interface (GUI); Heart Rate - physiology; Humans; Research Letter; Signal plot; Signal Processing, Computer-Assisted; Wavelet Analysis; Electrocardiogram (ECG); Graphical user interface (GUI); Signal plot
• ISSN: 0019-4832; 2213-3763
• DOI: 10.1016/j.ihj.2015.07.017

To process the electrocardiogram (ECG) signals using MATLAB-based graphical user interface (GUI) and to classify the signals based on heart rate. The subject condition was identified using R-peak detection based on discrete wavelet transform followed by a Bayes classifier that classifies the ECG signals. The GUI was designed to display the ECG signal plot. Obtained from MIT database 18 patients had normal heart rate and 9 patients had abnormal heart rate; 14.81% of the patients suffered from tachycardia and 18.52% of the patients have bradycardia. The proposed GUI display was found useful to analyze the digitized ECG signal by a non-technical user and may help in diagnostics. Further improvement can be done by employing field programmable gate array for the real time processing of cardiac signals.