BACKGROUND: Cardiotocography (CTG) is a monitoring of fetal heart rate and uterine contractions. Since 1960 it is routinely used by obstetricians to assess fetal well-being. Many attempts to introduce methods of automatic signal processing and evaluation have appeared during the last 20 years, however still no significant progress similar to that in the domain of adult heart rate variability, where open access databases are available (e.g. MIT-BIH), is visible. Based on a thorough review of the relevant publications, presented in this paper, the shortcomings of the current state are obvious. A lack of common ground for clinicians and technicians in the field hinders clinically usable progress. Our open access database of digital intrapartum cardiotocographic recordings aims to change that. DESCRIPTION: The intrapartum CTG database consists in total of 552 intrapartum recordings, which were acquired between April 2010 and August 2012 at the obstetrics ward of the University Hospital in Brno, Czech Republic. All recordings were stored in electronic form in the OB TraceVue®;system. The recordings were selected from 9164 intrapartum recordings with clinical as well as technical considerations in mind. All recordings are at most 90 minutes long and start a maximum of 90 minutes before delivery. The time relation of CTG to delivery is known as well as the length of the second stage of labor which does not exceed 30 minutes. The majority of recordings (all but 46 cesarean sections) is - on purpose - from vaginal deliveries. All recordings have available biochemical markers as well as some more general clinical features. Full description of the database and reasoning behind selection of the parameters is presented in the paper. CONCLUSION: A new open-access CTG database is introduced which should give the research community common ground for comparison of results on reasonably large database. We anticipate that after reading the paper, the reader will understand the context of the field from clinical and technical perspectives which will enable him/her to use the database and also understand its limitations.
- MeSH
- Apgar skóre MeSH
- databáze faktografické * MeSH
- distres plodu diagnóza MeSH
- dospělí MeSH
- fetální krev chemie MeSH
- kardiotokografie * MeSH
- koncentrace vodíkových iontů MeSH
- lidé MeSH
- počítačové zpracování signálu * MeSH
- porod MeSH
- poruchy acidobazické rovnováhy MeSH
- přístup k informacím * MeSH
- srdeční frekvence plodu * MeSH
- těhotenství MeSH
- Check Tag
- dospělí MeSH
- lidé MeSH
- těhotenství MeSH
- ženské pohlaví MeSH
- Publikační typ
- časopisecké články MeSH
- práce podpořená grantem MeSH
- přehledy MeSH
Cardiotocography (CTG) is the monitoring of fetal heart rate (FHR) and uterine contractions (TOCO) since 1960's used routinely by obstetricians to detect fetal hypoxia. The evaluation of the FHR in clinical settings is based on an evaluation of macroscopic morphological features and so far has managed to avoid adopting any achievements from the HRV research field. In this work, most of the ever-used features utilized for FHR characterization, including FIGO, HRV, nonlinear, wavelet, and time and frequency domain features, are investigated and the features are assessed based on their statistical significance in the task of distinguishing the FHR into three FIGO classes. Annotation derived from the panel of experts instead of the commonly utilized pH values was used for evaluation of the features on a large data set (552 records). We conclude the paper by presenting the best uncorrelated features and their individual rank of importance according to the meta-analysis of three different ranking methods. Number of acceleration and deceleration, interval index, as well as Lempel-Ziv complexity and Higuchi's fractal dimension are among the top five features.
- MeSH
- algoritmy MeSH
- diagnóza počítačová metody MeSH
- kardiotokografie metody MeSH
- lidé MeSH
- odchylka pozorovatele MeSH
- reprodukovatelnost výsledků MeSH
- senzitivita a specificita MeSH
- srdeční frekvence plodu fyziologie MeSH
- znalecký posudek MeSH
- Check Tag
- lidé MeSH
- Publikační typ
- časopisecké články MeSH
- hodnotící studie MeSH
- práce podpořená grantem MeSH
- srovnávací studie MeSH
- MeSH
- bionika metody přístrojové vybavení trendy MeSH
- Evropská unie MeSH
- informační systémy přístrojové vybavení využití MeSH
- informační teorie MeSH
- informační věda metody přístrojové vybavení MeSH
- laboratoře organizace a řízení trendy využití MeSH
- lidé MeSH
- telekomunikace přístrojové vybavení využití MeSH
- univerzity organizace a řízení trendy MeSH
- výzkumný projekt MeSH
- Check Tag
- lidé MeSH
In this work we present a comparative study, testing selected methods for clustering and classification of holter electrocardiogram (ECG). More specifically we focus on the task of discriminating between normal 'N' beats and premature ventricular 'V' beats Some of the tested methods represent the state of the art in pattern analysis, while others are novel algorithms developed by us. All the algorithms were tested on the same datasets, namely the MIT-BIH and the AHA databases. The results for all the employed methods are compared and evaluated using the measures of sensitivity and specificity.
- MeSH
- algoritmy MeSH
- elektrokardiografie MeSH
- financování organizované MeSH
- lidé MeSH
- nemoci srdce klasifikace patofyziologie MeSH
- počítačové zpracování signálu MeSH
- Check Tag
- lidé MeSH
- Publikační typ
- srovnávací studie MeSH
- MeSH
- algoritmy MeSH
- elektrokardiografie ambulantní MeSH
- financování organizované MeSH
- ischemická choroba srdeční diagnóza MeSH
- lidé MeSH
- nemoci srdce diagnóza etiologie MeSH
- počítačové zpracování signálu MeSH
- shluková analýza MeSH
- srdeční arytmie diagnóza MeSH
- srdeční frekvence MeSH
- statistika jako téma MeSH
- Check Tag
- lidé MeSH
