Enhanced processing and analysis of multi-channel non-invasive abdominal foetal ECG signals during labor and delivery

Here the authors explore, implement and verify the potential utility of hybrid intelligent adaptive systems for processing and analysis of multi-channel non-invasive abdominal foetal electrocardiogram (fECG) signals. This approach allows clinicians to enhance non-invasive cardiotocography (CTG) with...

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Veröffentlicht in:	Electronics letters 2015-10, Vol.51 (22), p.1744-1746
Hauptverfasser:	Martinek, R, Kelnar, M, Koudelka, P, Vanus, J, Bilik, P, Janku, P, Nazeran, H, Zidek, J
Format:	Artikel
Sprache:	eng
Schlagworte:	abdominal foetal ECG signal analysis enhancement abdominal foetal ECG signal processing enhancement abdominal foetal electrocardiogram signal Adaptive systems Artificial neural networks Biomedical technology cardiotocography Criteria delivery electrocardiography fECG morphology study Fuzzy logic gynaecologist hybrid intelligent adaptive system Hybrid systems intrapartum monitoring labor medical signal processing Monitoring multichannel adaptive neuro‐fuzzy interference system reference signal Signal processing ST waveform analysis Utilities waveform analysis
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