Foetal heart rate assessment by empirical mode decomposition and spectral analysis
نویسندگان
چکیده
منابع مشابه
Image analysis by bidimensional empirical mode decomposition
Recent developments in analysis methods on the non-linear and non-stationary data have received large attention by the image analysts. In 1998, Huang introduced the empirical mode decomposition (EMD) in signal processing. The EMD approach, fully unsupervised, proved reliable monodimensional (seismic and biomedical) signals. The main contribution of our approach is to apply the EMD to texture ex...
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OBJECTIVES Heart-rate variability (HRV) is an interesting tool for assessing cardiac autonomic system control, but nonstationarities raise problematic issues. The objective of this paper is to show that adapted signal processing tools may cope with nonstationary situations and improve the analysis of HRV. METHODS We propose to use the recent method of Empirical Mode Decomposition (EMD), so as...
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BACKGROUND Cardiotocography (CTG) is the most widely used tool for fetal surveillance. The visual analysis of fetal heart rate (FHR) traces largely depends on the expertise and experience of the clinician involved. Several approaches have been proposed for the effective interpretation of FHR. In this paper, a new approach for FHR feature extraction based on empirical mode decomposition (EMD) is...
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In the fault diagnosis of automaton, the vibration signal presents non-stationary and non-periodic, which make it difficult to extract the fault features. To solve this problem, an automaton fault diagnosis method based on morphological component analysis (MCA) and ensemble empirical mode decomposition (EEMD) was proposed. Based on the advantages of the morphological component analysis method i...
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ژورنال
عنوان ژورنال: Current Directions in Biomedical Engineering
سال: 2019
ISSN: 2364-5504
DOI: 10.1515/cdbme-2019-0096