title: Evaluation of cardiac signals using discrete wavelet transform with MATLAB graphical user interface.
abstract: OBJECTIVE
  To process the electrocardiogram (ECG) signals using MATLAB-based graphical user interface (GUI) and to classify the signals based on heart rate.
  
  
  METHODS
  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.
  
  
  RESULTS
  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.
  
  
  CONCLUSIONS
  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.
authors.affiliation: IJN-UTM Cardiovascular Engineering Centre, Faculty of Biosciences and Medical Engineering, Universiti Teknologi Malaysia, Johor Bahru 81310, Malaysia.
authors.forename: Agnes Aruna
authors.initials: AA
authors.lastname: John
authors.affiliation: IJN-UTM Cardiovascular Engineering Centre, Faculty of Biosciences and Medical Engineering, Universiti Teknologi Malaysia, Johor Bahru 81310, Malaysia.
authors.forename: Aruna Priyadharshni
authors.initials: AP
authors.lastname: Subramanian
authors.affiliation: IJN-UTM Cardiovascular Engineering Centre, Faculty of Biosciences and Medical Engineering, Universiti Teknologi Malaysia, Johor Bahru 81310, Malaysia. Electronic address: jaganathaniitkgp@gmail.com.
authors.forename: Saravana Kumar
authors.initials: SK
authors.lastname: Jaganathan
authors.affiliation: Department of Biomedical Engineering, PSNACET, Dindigul, Tamil Nadu, India.
authors.forename: Balasubramanian
authors.initials: B
authors.lastname: Sethuraman
mesh_terms: D000465:Algorithms; D001145:Arrhythmias, Cardiac / Q000175:diagnosis* / Q000503:physiopathology; D001499:Bayes Theorem; D004562:Electrocardiography; D006339:Heart Rate / Q000502:physiology*; D006801:Humans; D012815:Signal Processing, Computer-Assisted; D058067:Wavelet Analysis
keywords: Electrocardiogram (ECG); Graphical user interface (GUI); Signal plot