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Comparison of real beat-to-beat signals with commercially available 4 Hz sampling on the evaluation of foetal heart rate variability., , , , , and . Medical Biol. Eng. Comput., 51 (6): 665-676 (2013)Entropy and Compression Capture Different Complexity Features: The Case of Fetal Heart Rate., , , , , and . Entropy, 19 (12): 688 (2017)Complexity of Cardiotocographic Signals as A Predictor of Labor., , , , , and . Entropy, 22 (1): 104 (2020)Clustering Fetal Heart Rate Tracings by Compression., , , and . CBMS, page 685-690. IEEE Computer Society, (2006)How to promote adverse drug reaction reports using information systems - a systematic review and meta-analysis., , , and . BMC Medical Informatics Decis. Mak., (2016)Physician's awareness of e-prescribing security risks., , , , , and . CBMS, page 489-492. IEEE Computer Society, (2013)Evolution of Heart Rate Complexity Indices in the Early Detection of Neonatal Sepsis., , , , , and . EMBC, page 367-372. IEEE, (2022)On the prediction of foetal acidaemia: A spectral analysis-based approach., , , , , and . Comput. Biol. Medicine, (2019)Nonlinear Methods Most Applied to Heart-Rate Time Series: A Review., , , , , and . Entropy, 22 (3): 309 (2020)The Entropy Universe., , , , , , and . Entropy, 23 (2): 222 (2021)