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Dependability in Pervasive Computing: Challenges and Chances.
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- Journal of Information Technology Research, 2012, v. 5, n. 1, p. 1, doi. 10.4018/jitr.2012010101
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Independent Analysis of Decelerations and Resting Periods through CEEMDAN and Spectral-Based Feature Extraction Improves Cardiotocographic Assessment.
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- Applied Sciences (2076-3417), 2019, v. 9, n. 24, p. 5421, doi. 10.3390/app9245421
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Investigating an Optimal Signal Epoch Length for Cardiotocographic Classification.
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- Current Directions in Biomedical Engineering, 2020, v. 6, n. 3, p. 514, doi. 10.1515/cdbme-2020-3132
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- Article
Foetal heart rate assessment by empirical mode decomposition and spectral analysis.
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- Current Directions in Biomedical Engineering, 2019, v. 5, n. 1, p. 381, doi. 10.1515/cdbme-2019-0096
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Foetal heart rate signal spectral analysis by using time-varying autoregressive modelling.
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- Current Directions in Biomedical Engineering, 2018, v. 4, n. 1, p. 579, doi. 10.1515/cdbme-2018-0139
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Analysis of the foetal heart rate in cardiotocographic recordings through a progressive characterization of decelerations.
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- Current Directions in Biomedical Engineering, 2017, v. 3, n. 2, p. 423, doi. 10.1515/cdbme-2017-0089
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- Article