T-Wave Alternans Identification in Direct Fetal Electrocardiography

Marcantoni, Ilaria; Vagni, M.; Agostinelli, Angela; Sbrollini, Agnese; Morettini, Micaela; Burattini, Luca; Nardo, Francesco Di; Fioretti, Sandro; Burattini, Laura

doi:10.22489/cinc.2017.219-085

Cited by 6 publications

(1 citation statement)

References 14 publications

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“…Moreover, this device can perform an ST analysis (STAN) using the acquired ST segment and T:QRS ratio. Other analysis options include T-wave alternans (TWA) [77], or abnormal cardiac repolarization analysis [66]. Zhao et al [66] used fMCG to detect and analyze fetal T-wave characteristics, such as QT interval in the normal fetus, and subsequently, to define T-wave abnormalities associated with fetal arrhythmia.…”

Section: B Morphological Analysismentioning

confidence: 99%

A Review of Signal Processing Techniques for Non-Invasive Fetal Electrocardiography

Kahánková

Martínek

Jaroš

et al. 2020

IEEE Rev. Biomed. Eng.

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Fetal electrocardiography (fECG) is a promising alternative to cardiotocography continuous fetal monitoring. Robust extraction of the fetal signal from the abdominal mixture of maternal and fetal electrocardiograms presents the greatest challenge to effective fECG monitoring. This is mainly due to the low amplitude of the fetal versus maternal electrocardiogram and to the non-stationarity of the recorded signals. In this review, we highlight key developments in advanced signal processing algorithms for non-invasive fECG extraction and the available open access resources (databases and source code). In particular, we highlight the advantages and limitations of these algorithms as well as key parameters that must be set to ensure their optimal performance. Improving or combining the current or developing new advanced signal processing methods may enable morphological analysis of the fetal electrocardiogram, which today is only possible using the invasive scalp electrocardiography method.

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Section: B Morphological Analysismentioning

confidence: 99%