A novel web-ECG simulation tool was successfully developed and tested by 62 students, providing an accessible laboratory interface for ECG signal analysis without requiring MATLAB installation.
A novel web-based ECG simulation tool was developed and validated for educational purposes, allowing students to analyze ECG signals without needing MATLAB installed.
Abstract An electrocardiogram (ECG) is a noninvasive test, determining any defect in the heart rate or rhythm or changes in the shape of the QRS complex is very significant to detect cardiac arrhythmia. In this study, novel web-ECG simulation tools were proposed using MATLAB Builder NE with WebFigure and ASP.NET platform. The proposed web-ECG simulation tools consisted of two components. First, involved the analyses of normal real ECG signals by calculating the P, Q, R, S, and T values and detecting heart rate, while the second part related to extracting the futures of several types of abnormality real ECG. For calculating the PQRST values, simple and new mathematical equations are proposed in the current study using MATLAB. The Web ECG is capable to plot normal ECG signals and five arrhythmia cases, so the users are able to calculate PQRST easily using the proposed simple method. ECG simulation tools have been tested for validity and educational contributions with 62 undergraduate and graduate students at the Al-Nahrain University-Biomedical Engineering Department, Iraq. The proposed ECG simulation tools have been designed for academic learning to be run easily by a student using only any web browsers without the need for installing MATLAB or any extra programs. The proposed tools could provide a laboratory course for ECG signal analysis using a few buttons, as well as increase and develop the educational skills of students and researchers.
Jaber et al. (Sat,) conducted a other in ECG signal analysis education (n=62). Web-ECG simulation tools using MATLAB Builder NE was evaluated on Validity and educational contributions. A novel web-ECG simulation tool was successfully developed and tested by 62 students, providing an accessible laboratory interface for ECG signal analysis without requiring MATLAB installation.