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Refining the rule base of fuzzy classifier to support the evaluation of fetal condition.

, , , , , , and . Appl. Soft Comput., (November 2023)

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Design and interfacing aspects of the medical instrumentation for modern hospital system for pregnancy and labour monitoring., , , , , , and . MIXDES, page 492-497. IEEE, (2016)Hardware design issues and functional requirements for smart wristband monitor of silent atrial fibrillation., , , and . MIXDES, page 596-600. IEEE, (2017)Atrial fibrillation episodes detection based on classification of heart rate derived features., , and . MIXDES, page 571-576. IEEE, (2017)Telemonitoring of pregnant women at home - Biosignals acquisition and measurement., , , , and . MIXDES, page 83-87. IEEE, (2015)A new method of saccadic eye movement detection for optokinetic nystagmus analysis., , , , , , , and . EMBC, page 3464-3467. IEEE, (2012)Optimizing the Automated Detection of Atrial Fibrillation Episodes in Long-term Recording Instrumentation., , , , , and . MIXDES, page 460-464. IEEE, (2018)Two-Step Analysis of the Fetal Heart Rate Signal as a Predictor of Distress., , , and . ACIIDS (2), volume 7197 of Lecture Notes in Computer Science, page 431-438. Springer, (2012)Analysis of nonstationarities in fetal heart rate signal: inconsistency measures of baselines using acceleration/deceleration patterns., , , , , and . ISSPA (2), page 9-12. IEEE, (2003)0-7803-7946-2.Baseline and Acceleration Episodes - Clinically Significant Nonstationarities in FHR Signal: Part I. Coefficients of Inconsistency., , and . CORES, volume 30 of Advances in Soft Computing, page 527-534. Springer, (2005)A dedicated software environment for quantitative evaluation of various QRS detectors., , and . MIXDES, page 487-491. IEEE, (2016)