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Publication
Design and Optimization of ECG Modeling for Generating Different Cardiac Dysrhythmias
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Advisor(s)
Abstract(s)
The electrocardiogram (ECG) has significant clinical importance for analyzing most cardio vascular diseases. ECGs beat morphologies, beat durations, and amplitudes vary from subject to
subject and diseases to diseases. Therefore, ECG morphology-based modeling has long-standing
research interests. This work aims to develop a simplified ECG model based on a minimum number
of parameters that could correctly represent ECG morphology in different cardiac dysrhythmias. A
simple mathematical model based on the sum of two Gaussian functions is proposed. However, fit ting more than one Gaussian function in a deterministic way has accuracy and localization problems.
To solve these fitting problems, two hybrid optimization methods have been developed to select the
optimal ECG model parameters. The first method is the combination of an approximation and global
search technique (ApproxiGlo), and the second method is the combination of an approximation
and multi-start search technique (ApproxiMul). The proposed model and optimization methods
have been applied to real ECGs in different cardiac dysrhythmias, and the effectiveness of the model
performance was measured in time, frequency, and the time-frequency domain. The model fit
different types of ECG beats representing different cardiac dysrhythmias with high correlation coeffi cients (>0.98). Compared to the nonlinear fitting method, ApproxiGlo and ApproxiMul are 3.32 and
7.88 times better in terms of root mean square error (RMSE), respectively. Regarding optimization,
the ApproxiMul performs better than the ApproxiGlo method in many metrics. Different uses of
this model are possible, such as a syntactic ECG generator using a graphical user interface has been
developed and tested. In addition, the model can be used as a lossy compression with a variable
compression rate. A compression ratio of 20:1 can be achieved with 1 kHz sampling frequency and
75 beats per minute. These optimization methods can be used in different engineering fields where
the sum of Gaussians is used.
Description
Keywords
ECG modeling ECG generator Gaussian function Optimization Data compression . Faculdade de Ciências Exatas e da Engenharia
Citation
Awal, M..A.; Mostafa, S.S.; Ahmad, M.; Alahe, M.A.; Rashid, M.A.; Kouzani, A.Z.; Mahmud, M.A.P. Design and Optimization of ECG Modeling for Generating Different Cardiac Dysrhythmias. Sensors 2021, 21, 1638. https://doi.org/10.3390/ s21051638