Why the study?
Does a novel three-stage methodology using abdominal ECG signals accurately extract fetal heart rate and fetal ECG features?
Does a novel three-stage methodology using abdominal ECG signals accurately extract fetal heart rate and fetal ECG features?
A novel non-invasive methodology using maternal abdominal ECG signals demonstrates high accuracy in extracting fetal heart rate and ECG features in simulated data.
High simulated accuracy suggests potential for non-invasive fetal monitoring; leaves open validation in clinical settings.
OBJECTIVES: This paper describes a methodology for the monitoring of the fetal cardiac health status during pregnancy, through the effective and non-invasive monitoring of the abdominal ECG signals (abdECG) of the mother. METHODS: For this purpose, a three-stage methodology has been developed. In the first stage, the fetal heart rate (fHR) is extracted from the abdECG signals, using nonlinear analysis. Also, the eliminated ECG (eECG) is calculated, which is the abdECG after the maternal QRSs elimination. In the second stage, a blind source separation technique is applied to the eECG signals and the fetal ECG (fECG) is obtained. Finally, monitoring of the fetus is implemented using features extracted from the fHR and fECG, such as the T/QRS ratio and the characterization of the fetal ST waveforms. RESULTS: The methodology is evaluated using a dataset of simulated multichannel abdECG signals: 94.79% accuracy for fHR extraction, 92.49% accuracy in T/QRS ratio calculation and 79.87% in ST waveform classification. CONCLUSIONS: The novel non-invasive proposed methodology is advantageous since it offers automated identification of fHR and fECG and automated ST waveform analysis, exhibiting a high diagnostic accuracy.
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Karvounis et al. (2009) studied this question.
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