Constructing waveform of P, Q, R, S, and T waves in ECG signals for cardiovascular disease diagnosis
DOI:
https://doi.org/10.56764/hpu2.jos.2026.5.01.65-75Abstract
This study presents the development of an electrocardiogram (ECG) signal acquisition and analysis system based on Arduino hardware and a personal computer. The recorded ECG signals were processed in MATLAB to extract key diagnostic parameters, including sinus rhythm, the amplitude and width of the P, S, and T waves, as well as the slope of the ST segment. These features were subsequently transformed into Time-domain representations, enabling clinicians to simultaneously examine hundreds of cardiac cycles. By providing a comprehensive view of ECG variability, the proposed waveform effectively reduces the influence of artifacts caused by technical errors or transient physiological and emotional fluctuations. Consequently, the integration of s enhances diagnostic precision and reliability compared to conventional visual inspection methods currently used in clinical practice.
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