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

J 2015

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

MARTINEK, R.; M. KELNAR; P. KOUDELKA; J. VANUS; P. BILIK et al.

Základní údaje

Originální název

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

Autoři

MARTINEK, R.; M. KELNAR; P. KOUDELKA; J. VANUS; P. BILIK; Petr JANKŮ ; H. NAZERAN a J. ZIDEK

Vydání

Electronics letters, Hertford, Institution of Engineering and Technology, 2015, 0013-5194

Další údaje

Jazyk

angličtina

Typ výsledku

Článek v odborném periodiku

Obor

30214 Obstetrics and gynaecology

Stát vydavatele

Velká Británie a Severní Irsko

Utajení

není předmětem státního či obchodního tajemství

Impakt faktor

Impact factor: 0.854

Označené pro přenos do RIV

Ano

Kód RIV

RIV/00216224:14110/15:00086483

Organizační jednotka

Lékařská fakulta

Klíčová slova anglicky

diagnostic quality; electrocardiogram; extraction

Štítky

EL OK

Příznaky

Mezinárodní význam, Recenzováno

Změněno: 8. 2. 2016 15:33, Soňa Böhmová

Anotace

V originále

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. The functionality of the system has been evaluated not only by subjective criteria (an fECG morphology study by a gynaecologist), but also by objective criteria using quantitative performance metrics such as input and output signal-to-noise ratios, root mean square error, sensitivity S+, and positive predictive value among others. Experimental results indicate that hybrid neuro-fuzzy systems have the potential to improve the diagnostic and monitoring qualities (sensitivity and specificity) of fECG signals while preserving their clinically important features by leveraging the combined utility of non-invasive CTG and STAN.

Citovat

MARTINEK, R.; M. KELNAR; P. KOUDELKA; J. VANUS; P. BILIK; Petr JANKŮ; H. NAZERAN a J. ZIDEK. Enhanced processing and analysis of multi-channel non-invasive abdominal foetal ECG signals during labor and delivery. Electronics letters. Hertford: Institution of Engineering and Technology, 2015, roč. 51, č. 22, s. 1744-1745. ISSN 0013-5194. Dostupné z: https://doi.org/10.1049/el.2015.2222.

@article{1334725,
   author = {Martinek, R. and Kelnar, M. and Koudelka, P. and Vanus, J. and Bilik, P. and Janků, Petr and Nazeran, H. and Zidek, J.},
   article_location = {Hertford},
   article_number = {22},
   doi = {https://doi.org/10.1049/el.2015.2222},
   keywords = {diagnostic quality; electrocardiogram; extraction},
   language = {eng},
   issn = {0013-5194},
   journal = {Electronics letters},
   title = {Enhanced processing and analysis of multi-channel non-invasive abdominal foetal ECG signals during labor and delivery},
   volume = {51},
   year = {2015}
}

TY  - JOUR
ID  - 1334725
AU  - Martinek, R. - Kelnar, M. - Koudelka, P. - Vanus, J. - Bilik, P. - Janků, Petr - Nazeran, H. - Zidek, J.
PY  - 2015
TI  - Enhanced processing and analysis of multi-channel non-invasive abdominal foetal ECG signals during labor and delivery
JF  - Electronics letters
VL  - 51
IS  - 22
SP  - 1744-1745
EP  - 1744-1745
PB  - Institution of Engineering and Technology
SN  - 00135194
KW  - diagnostic quality
KW  - electrocardiogram
KW  - extraction
N2  - 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. The functionality of the system has been evaluated not only by subjective criteria (an fECG morphology study by a gynaecologist), but also by objective criteria using quantitative performance metrics such as input and output signal-to-noise ratios, root mean square error, sensitivity S+, and positive predictive value among others. Experimental results indicate that hybrid neuro-fuzzy systems have the potential to improve the diagnostic and monitoring qualities (sensitivity and specificity) of fECG signals while preserving their clinically important features by leveraging the combined utility of non-invasive CTG and STAN.
ER  -

MARTINEK, R.; M. KELNAR; P. KOUDELKA; J. VANUS; P. BILIK; Petr JANKŮ; H. NAZERAN a J. ZIDEK. Enhanced processing and analysis of multi-channel non-invasive abdominal foetal ECG signals during labor and delivery. \textit{Electronics letters}. Hertford: Institution of Engineering and Technology, 2015, roč.~51, č.~22, s.~1744-1745. ISSN~0013-5194. Dostupné z: https://doi.org/10.1049/el.2015.2222.

Přehled o publikaci