DBPF pre-processing-based improved ECG signal analysis in medical engineering applications Online publication date: Thu, 06-Mar-2025
by Varun Gupta
International Journal of Engineering Systems Modelling and Simulation (IJESMS), Vol. 16, No. 2, 2025
Abstract: Bioinformatics is the essential field to capture and interpret the biomedical datasets. Among these datasets, the heart is main organ, which is responsible for circulation of the blood and appears in the form of electrocardiogram (ECG) signal. Unfortunately, the heart's conduction is nonlinear in nature requiring utilisation of technological advancements. The activity of the heart is signified by various small waves, viz., P-wave, QRS wave (complex), and T-wave. In this paper, combination of three efficient techniques, viz., digital bandpass filtering (DBPF), Hilbert envelope, and factor analysis is used for ECG signal analysis. The analysis of ECG signal is done by estimating position of R-peaks in MIT-BIH Arrhythmia (MIT-BIH Arr) database and MIT-BIH Long-Term ECG database. The proposed technique is definitely important for medical engineering applications in estimating correct health condition.
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