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Modeling and Identification of the Electrohysterographic Volume Conductor by High-Density Electrodes.

, , , , and . IEEE Trans. Biomed. Eng., 57 (3): 519-527 (2010)

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Automated Conduction Velocity Analysis in the Electrohysterogram for Prediction of Imminent Delivery: A Preliminary Study., , , , , and . Comput. Math. Methods Medicine, (2013)Motion-Artifact Reduction in Capacitive Heart-Rate Measurements by Adaptive Filtering., , , , , and . IEEE Trans. Instrum. Meas., 68 (10): 4085-4093 (2019)Influence of Electrode Placement on Signal Quality for Ambulatory Pregnancy Monitoring., , , , , , and . Comput. Math. Methods Medicine, (2014)A Low-Voltage Chopper-Stabilized Amplifier for Fetal ECG Monitoring With a 1.41 Power Efficiency Factor., , , , , , and . IEEE Trans. Biomed. Circuits Syst., 9 (2): 237-247 (2015)Low-complexity R-peak detection in ECG signals: A preliminary step towards ambulatory fetal monitoring., , , , and . EMBC, page 1761-1764. IEEE, (2011)Low-complexity intrauterine pressure monitoring by Teager energy estimation., , , , and . EMBC, page 7424-7427. IEEE, (2013)Multi-Modal Uterine-Activity Measurements for Prediction of Embryo Implantation by Machine Learning., , , , , , and . IEEE Access, (2021)Comparative Review of the Algorithms for Removal of Electrocardiographic Interference from Trunk Electromyography., , , , , and . Sensors, 20 (17): 4890 (2020)Analysis of muscle fatigue induced by isometric vibration exercise at varying frequencies., , and . EMBC, page 6463-6466. IEEE, (2012)A low-power frontend system for fetal ECG monitoring applications., , , , , , and . IWASI, page 87-91. IEEE, (2015)