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Quantification of Global Diastolic Function by Kinematic Modeling-based Analysis of Transmitral Flow via the Parametrized Diastolic Filling Formalism
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Evaluation of cardiac signals using discrete wavelet transform with MATLAB graphical user interface.

Agnes Aruna John1, Aruna Priyadharshni Subramanian1, Saravana Kumar Jaganathan1

  • 1IJN-UTM Cardiovascular Engineering Centre, Faculty of Biosciences and Medical Engineering, Universiti Teknologi Malaysia, Johor Bahru 81310, Malaysia.

Indian Heart Journal
|December 26, 2015
PubMed
Summary

This study developed a MATLAB graphical user interface (GUI) to analyze electrocardiogram (ECG) signals for heart rate classification. The system successfully identified normal and abnormal heart rates, aiding in diagnostics.

Keywords:
Electrocardiogram (ECG)Graphical user interface (GUI)Signal plot

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Area of Science:

  • Biomedical Engineering
  • Signal Processing

Background:

  • Electrocardiogram (ECG) signal analysis is crucial for diagnosing cardiac conditions.
  • Automated processing and classification of ECG signals can improve diagnostic efficiency.

Purpose of the Study:

  • To develop a MATLAB-based graphical user interface (GUI) for processing and classifying ECG signals based on heart rate.
  • To provide a user-friendly tool for analyzing digitized ECG data.

Main Methods:

  • ECG signals were processed using R-peak detection with discrete wavelet transform.
  • A Bayes classifier was employed for ECG signal classification.
  • A MATLAB GUI was designed to visualize ECG signal plots.

Main Results:

  • The system analyzed ECG data from the MIT database.
  • 18 patients exhibited normal heart rates, while 9 had abnormal rates.
  • Tachycardia was detected in 14.81% and bradycardia in 18.52% of patients.

Conclusions:

  • The developed GUI is beneficial for non-technical users in analyzing ECG signals for diagnostics.
  • The system shows potential for aiding in the early detection of heart rate abnormalities.
  • Future work could involve real-time processing using field-programmable gate arrays (FPGAs).