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- W1990658476 abstract "In this study, Independent Component Analysis (ICA) algorithms are suggested to extract the original ECG part from the mixed signal contaminated with the unwanted frequency components and especially 60㎐ power line disturbances. With this aim, we implement a novel method to suppress the baseline-wandering disturbances and power line artefacts contained in patch-electrodes sensory ECG data by separating the unmixed signal with finding the optimal weight W based on Kurtosis value. With applying brutal force and gradient ascent searching algorithm to find W, we can conclude that the unwanted frequency components especially in the ambulatory ECG data can be eliminated by Independent Component Analysis." @default.
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- W1990658476 date "2013-06-01" @default.
- W1990658476 modified "2023-10-14" @default.
- W1990658476 title "Suppressing Artefacts in the ECG by Independent Component Analysis" @default.
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- W1990658476 doi "https://doi.org/10.5370/kiee.2013.62.6.825" @default.
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