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| Comprehensive Analysis and Processing of ECG Data Using Advanced Techniques
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Hadeer Ahmed Mahmoud, Yehia S. Mohamed, Mohamed A. Massoud
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Abstract:
Accurately analyzing an electrocardiogram (ECG) signal holds significant importance in this particular application, aiming to extract specific characteristics within the ECG signals crucial for identifying potential cardiovascular irregularities. However, this objective is notably challenging due to the frequent corruption or presence of noise in the desired ECG signals. Wavelet analysis emerges as a comprehensive solution to address these challenges. The paper presents a comprehensive analysis aimed at automatically detecting R-peaks in single-lead digital ECG data. Utilizing wavelet transforms proves highly effective in examining such signals. This study harnesses wavelets as a method to filter and scrutinize noisy ECG signals, employing them specifically for identifying the positions of the QRS complex occurrences within the analysis period. Moreover, inter-beat intervals (IBIs) computation and visualization based on peak detection within an ECG signal have been presented for heart rate variability (HRV) analyses.
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