Key result
Nested median filtering outperformed linear scale-space filtering in detection accuracy of characteristic points of ECGs, such as the T-wave offset, with comparable computation cost.
Nested median filtering provides a computationally efficient and more accurate method for detecting T-wave offsets in ECGs compared to linear scale-space filtering.
Capabilities of a nonlinear signal decomposition method based on nested median filters for electrocardiogram (ECG) analysis are demonstrated. This method is comparable to linear scale-space filtering in terms of computation cost but outperforms it with regard to detection accuracy of characteristic points of ECGs (e.g. the T-wave offset). Obtained results are validated on the CSE database of ECGs.
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P. Strumiłło (2002) studied Electrocardiogram (ECG) analysis. Nested median filtering vs. Linear scale-space filtering was evaluated on Detection accuracy of characteristic points of ECGs (e.g. the T-wave offset). Nested median filtering outperformed linear scale-space filtering in detection accuracy of characteristic points of ECGs, such as the T-wave offset, with comparable computation cost.
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