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Non-Invasive Fetal Monitoring: A Maternal Surface ECG Electrode Placement-Based Novel Approach for Optimization of Adaptive Filter Control Parameters Using the LMS and RLS Algorithms.

, , , , , , , , , and . Sensors, 17 (5): 1154 (2017)

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Automatic Classification of Intrapartal Fetal Heart-Rate Recordings - Can It Compete with Experts?, , , , , , , and . ITBAM, volume 6266 of Lecture Notes in Computer Science, page 57-66. Springer, (2010)A Phonocardiographic-Based Fiber-Optic Sensor and Adaptive Filtering System for Noninvasive Continuous Fetal Heart Rate Monitoring., , , , , , , , and . Sensors, 17 (4): 890 (2017)String Constraints with Concatenation and Transducers Solved Efficiently (Technical Report)., , , , and . CoRR, (2020)Lazy Automata Techniques for WS1S., , , , and . TACAS (1), volume 10205 of Lecture Notes in Computer Science, page 407-425. (2017)String constraints with concatenation and transducers solved efficiently., , , , and . Proc. ACM Program. Lang., 2 (POPL): 4:1-4:32 (2018)Efficient handling of string-number conversion., , , , , , , , and . PLDI, page 943-957. ACM, (2020)Using nonlinear features for fetal heart rate classification., , , , , , , and . Biomed. Signal Process. Control., 7 (4): 350-357 (2012)Non-Invasive Fetal Monitoring: A Maternal Surface ECG Electrode Placement-Based Novel Approach for Optimization of Adaptive Filter Control Parameters Using the LMS and RLS Algorithms., , , , , , , , , and . Sensors, 17 (5): 1154 (2017)Information retrieval from hospital information system: Increasing effectivity using swarm intelligence., , , , , and . J. Appl. Log., 13 (2): 126-137 (2015)Chain-Free String Constraints., , , , and . ATVA, volume 11781 of Lecture Notes in Computer Science, page 277-293. Springer, (2019)