Literature DB >> 30562910

A novel modular fetal ECG STAN and HRV analysis: Towards robust hypoxia detection.

Radek Martinek1, Radana Kahankova1, Boris Martin2, Jan Nedoma3, Marcel Fajkus3.   

Abstract

This paper introduces a comprehensive fetal Electrocardiogram (fECG) Signal Extraction and Analysis Virtual Instrument that integrates various methods for detecting the R-R Intervals (RRIs) as a means to determine the fetal Heart Rate (fHR) and therefore facilitates fetal Heart Rate Variability (HRV) signal analysis. Moreover, it offers the capability to perform advanced morphological fECG signal analysis called ST segment Analysis (STAN) as it seamlessly allows the determination of the T-wave to QRS complex ratio (also called T/QRS) in the fECG signal. The integration of these signal processing and analytical modules could help clinical researchers and practitioners to noninvasively monitor and detect the life threatening hypoxic conditions that may arise in different stages of pregnancy and more importantly during delivery and could therefore lead to the reduction of unnecessary C-sections. In our experiments we used real recordings from a Fetal Scalp Electrode (FSE) as well as maternal abdominal electrodes. This Virtual Instrument (Toolbox) not only serves as a desirable platform for comparing various fECG extraction signal processing methods, it also provides an effective means to perform STAN and HRV signal analysis based on proven ECG morphological as well as Autonomic Nervous System (ANS) indices to detect hypoxic conditions.

Entities:  

Keywords:  Fetal ECG (fECG); STAN analysis (T:QRS ratio); abdominal ECG (aECG); feature extraction; fetal Heart Rate (fHR); fetal Heart Rate Variability (HRV); maternal ECG (mECG)

Year:  2019        PMID: 30562910     DOI: 10.3233/THC-181375

Source DB:  PubMed          Journal:  Technol Health Care        ISSN: 0928-7329            Impact factor:   1.285


  2 in total

1.  A novel algorithm based on ensemble empirical mode decomposition for non-invasive fetal ECG extraction.

Authors:  Katerina Barnova; Radek Martinek; Rene Jaros; Radana Kahankova; Adam Matonia; Michal Jezewski; Robert Czabanski; Krzysztof Horoba; Janusz Jezewski
Journal:  PLoS One       Date:  2021-08-13       Impact factor: 3.240

2.  Delivery Room ST Segment Analysis to Predict Short Term Outcomes in Near-Term and Term Newborns.

Authors:  Jørgen Linde; Anne Lee Solevåg; Joar Eilevstjønn; Ladislaus Blacy; Hussein Kidanto; Hege Ersdal; Claus Klingenberg
Journal:  Children (Basel)       Date:  2022-01-03
  2 in total

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