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Petr Janku

Researcher at Masaryk University

Publications -  49
Citations -  885

Petr Janku is an academic researcher from Masaryk University. The author has contributed to research in topics: Pregnancy & Medicine. The author has an hindex of 17, co-authored 44 publications receiving 708 citations.

Papers
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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

TL;DR: The approach could offer the potential to be used in clinical practice to establish recommendations for standard electrode placement and find the optimal adaptive filter settings for extracting high quality fetal ECG signals for further processing, and ensure the reliable detection of fetal hypoxia.
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Comparative Effectiveness of ICA and PCA in Extraction of Fetal ECG From Abdominal Signals: Toward Non-invasive Fetal Monitoring.

TL;DR: The results demonstrated that even though these advanced signal processing methods are suitable for the non-invasive estimation and monitoring of the fHR information from maternal aECG signals, their utility for further morphological analysis of the extracted fECGs signals remains questionable and warrants further work.
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A Phonocardiographic-Based Fiber-Optic Sensor and Adaptive Filtering System for Noninvasive Continuous Fetal Heart Rate Monitoring

TL;DR: This paper focuses on the design, realization, and verification of a novel phonocardiographic- based fiber-optic sensor and adaptive signal processing system for noninvasive continuous fetal heart rate (fHR) monitoring that utilizes two Mach-Zehnder interferometeric sensors.
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The fetal inflammatory response in subgroups of women with preterm prelabor rupture of the membranes

TL;DR: A higher fetal inflammatory response mediated by umbilical cord blood IL-6 was identified when both MIAC and HCA were detected in pregnancies complicated by PPROM.
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Urinary intermediates of tryptophan as indicators of the gut microbial metabolism

TL;DR: This study represents the first attempt to explore previously unreported microbial metabolites in urine by UHPLC-SRM and novel methodology for simultaneous determination of microbiota-modulated component of Trp metabolism.