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A low-power noise scalable instrumentation amplifier for fetal monitoring applications.

, , , , , and . ISCAS, page 1926-1929. IEEE, (2013)

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A low-power noise scalable instrumentation amplifier for fetal monitoring applications., , , , , and . ISCAS, page 1926-1929. IEEE, (2013)Automated Conduction Velocity Analysis in the Electrohysterogram for Prediction of Imminent Delivery: A Preliminary Study., , , , , and . Comp. Math. Methods in Medicine, (2013)Influence of Electrode Placement on Signal Quality for Ambulatory Pregnancy Monitoring., , , , , , and . Comp. Math. Methods in Medicine, (2014)A Low-Voltage Chopper-Stabilized Amplifier for Fetal ECG Monitoring With a 1.41 Power Efficiency Factor., , , , , , and . IEEE Trans. Biomed. Circuits and Systems, 9 (2): 237-247 (2015)A low-power frontend system for fetal ECG monitoring applications., , , , , , and . IWASI, page 87-91. IEEE, (2015)Decreasing the False Alarm Rate of Arrhythmias in Intensive Care Using a Machine Learning Approach., , , , and . CinC, page 293-296. www.cinc.org, (2015)Low-complexity intrauterine pressure monitoring by Teager energy estimation., , , , and . EMBC, page 7424-7427. IEEE, (2013)Feasibility Study of a New Method for Low-Complexity Fetal Movement Detection From Abdominal ECG Recordings., , , , , and . IEEE J. Biomedical and Health Informatics, 20 (5): 1361-1368 (2016)Fetal movement detection based on QRS amplitude variations in abdominal ECG recordings., , , , , and . EMBC, page 1452-1455. IEEE, (2014)A multiple-channel frontend system with current reuse for fetal monitoring applications., , , , , , and . ISCAS, page 253-256. IEEE, (2014)