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• W1978211736 endingPage "743" @default.
• W1978211736 startingPage "729" @default.
• W1978211736 abstract "Cardiotocograph (CTG) is widely used in everyday clinical practice for fetal surveillance, where it is used to record fetal heart rate (FHR) and uterine activity (UA). These two biosignals can be used for antepartum and intrapartum fetal monitoring and are, in fact, nonlinear and non-stationary. CTG recordings are often corrupted by artifacts such as missing beats in FHR, high-frequency noise in FHR and UA signals. In this paper, an empirical mode decomposition (EMD) method is applied on CTG signals. A recursive algorithm is first utilized to eliminate missing beats. High-frequency noise is reduced using EMD followed by the partial reconstruction (PAR) method, where the noise order is identified by a statistical method. The obtained signal enhancement from the proposed method is validated by comparing the resulting traces with the output obtained by applying classical signal processing methods such as Butterworth low-pass filtering, linear interpolation and a moving average filter on 12 CTG signals. Three obstetricians evaluated all 12 sets of traces and rated the proposed method, on average, 3.8 out of 5 on a scale of 1(lowest) to 5 (highest)." @default.
• W1978211736 created "2016-06-24" @default.
• W1978211736 creator A5026136357 @default.
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• W1978211736 date "2009-06-24" @default.
• W1978211736 modified "2023-09-27" @default.
• W1978211736 title "The application of empirical mode decomposition for the enhancement of cardiotocograph signals" @default.
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• W1978211736 doi "https://doi.org/10.1088/0967-3334/30/8/001" @default.
• W1978211736 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/19550027" @default.
• W1978211736 hasPublicationYear "2009" @default.
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