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

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14110%2F15%3A00086483" target="_blank" >RIV/00216224:14110/15:00086483 - isvavai.cz</a>
Alternative codes found
RIV/61989100:27240/15:86095957 RIV/65269705:_____/15:00063952
Result on the web
<a href="http://dx.doi.org/10.1049/el.2015.2222" target="_blank" >http://dx.doi.org/10.1049/el.2015.2222</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1049/el.2015.2222" target="_blank" >10.1049/el.2015.2222</a>

Result language
angličtina
Original language name
Enhanced processing and analysis of multi-channel non-invasive abdominal foetal ECG signals during labor and delivery
Original language description
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 continuous ST waveform analysis (STAN) of fECG signals to improve intrapartum monitoring during labuor. The system uses a multi-channel adaptive neuro-fuzzy interference system with a new hybrid learning algorithm based on uniquely synthesised data, which comports well with real data acquired from clinical practice. The system allows the user to obtain a reference signal for objective verification.
Czech name
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Czech description
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Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
FK - Gynaecology and obstetrics
OECD FORD branch
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Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year
2015
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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