R-Wave Localization Using Wavelet Transform in ECG Analysis
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Using the method described, we can accurately locate R-waves in ECG signals through wavelet transform analysis and generate ink traces to visualize their characteristics across different scales. This technique enables detailed ECG analysis and extraction of valuable diagnostic information. Implementation typically involves applying discrete wavelet transform (DWT) with appropriate mother wavelets (like symlets or daubechies), setting threshold parameters for R-peak detection, and creating multi-scale visualizations using plotting functions. Key steps include signal preprocessing, wavelet decomposition at multiple resolution levels, and implementing peak detection algorithms based on modulus maxima analysis.
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