924 research outputs found
A Novel Extraction Method of Fetal Electrocardiogram From the Composite Abdominal Signal
科研費報告書収録論文(課題番号:18390306/研究代表者:木村芳孝/多電極母体腹壁誘導胎児心電図による全週数型胎児心筋虚血モニタリングの基礎研究
A novel LabVIEW-based multi-channel non-invasive abdominal maternal-fetal electrocardiogram signal generator
PubMed ID: 26799770Original content from this work may be used under the terms of the Creative Commons Attribution 3.0 licence. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI.Web of Science37225623
Fetal electrocardiograms, direct and abdominal with reference heartbeat annotations
Monitoring fetal heart rate (FHR) variability plays a fundamental role in fetal state assessment. Reliable FHR signal can be obtained from an invasive direct fetal electrocardiogram (FECG), but this is limited to labour. Alternative abdominal (indirect) FECG signals can be recorded during pregnancy and labour. Quality, however, is much lower and the maternal heart and uterine contractions provide sources of interference. Here, we present ten twenty-minute pregnancy signals and 12 five-minute labour signals. Abdominal FECG and reference direct FECG were recorded simultaneously during labour. Reference pregnancy signal data came from an automated detector and were corrected by clinical experts. The resulting dataset exhibits a large variety of interferences and clinically significant FHR patterns. We thus provide the scientific community with access to bioelectrical fetal heart activity signals that may enable the development of new methods for FECG signals analysis, and may ultimately advance the use and accuracy of abdominal electrocardiography methods.Web of Science71art. no. 20
A clustering-based method for single-channel fetal heart rate monitoring
Non-invasive fetal electrocardiography (ECG) is based on the acquisition of signals from
abdominal surface electrodes. The composite abdominal signal consists of the maternal
electrocardiogram along with the fetal electrocardiogram and other electrical interferences.
These recordings allow for the acquisition of valuable and reliable information that helps
ensure fetal well-being during pregnancy. This paper introduces a procedure for fetal heart
rate extraction from a single-channel abdominal ECG signal. The procedure is composed of
three main stages: a method based on wavelet for signal denoising, a new clustering-based
methodology for detecting fetal QRS complexes, and a final stage to correct false positives
and false negatives. The novelty of the procedure thus relies on using clustering techniques
to classify singularities from the abdominal ECG into three types: maternal QRS complexes,
fetal QRS complexes, and noise. The amplitude and time distance of all the local maxima
followed by a local minimum were selected as features for the clustering classification. A
wide set of real abdominal ECG recordings from two different databases, providing a large
range of different characteristics, was used to illustrate the efficiency of the proposed
method. The accuracy achieved shows that the proposed technique exhibits a competitve
performance when compared to other recent works in the literature and a better performance
over threshold-based techniques.This work has been partially funded by
Banco Santander and Centro Mixto UGR-MADOC
through project SIMMA (code 2/16). The
contribution of Antonio García has been partially
funded by Spain's Ministerio de Educación, Cultura
y Deporte (Programa Estatal de Promoción del
Talento y su Empleabilidad en I+D+i, Subprograma
Estatal de Movilidad, within Plan Estatal de
Investigación Científica y Técnica y de Innovación 2013-2016) under a "Salvador de Madariaga" grant
(PRX17/00287)
Estrazione non invasiva del segnale elettrocardiografico fetale da registrazioni con elettrodi posti sull’addome della gestante (Non-invasive extraction of the fetal electrocardiogram from abdominal recordings by positioning electrodes on the pregnant woman’s abdomen)
openIl cuore è il primo organo che si sviluppa nel feto, particolarmente nelle primissime settimane di
gestazione. Rispetto al cuore adulto, quello fetale ha una fisiologia ed un’anatomia significativamente
differenti, a causa della differente circolazione cardiovascolare. Il benessere fetale si valuta
monitorando l’attività cardiaca mediante elettrocardiografia fetale (ECGf). L’ECGf invasivo (acquisito
posizionando elettrodi allo scalpo fetale) è considerato il gold standard, ma l’invasività che lo
caratterizza ne limita la sua applicabilità. Al contrario, l’uso clinico dell’ECGf non invasivo (acquisito
posizionando elettrodi sull’addome della gestante) è limitato dalla scarsa qualità del segnale risultante.
L’ECGf non invasivo si estrae da registrazioni addominali, che sono corrotte da differenti tipi di rumore,
fra i quali l’interferenza primaria è rappresentata dall’ECG materno. Il Segmented-Beat Modulation
Method (SBMM) è stato da me recentemente proposto come una nuova procedura di filtraggio basata
sul calcolo del template del battito cardiaco. SBMM fornisce una stima ripulita dell’ECG estratto da
registrazioni rumorose, preservando la fisiologica variabilità ECG del segnale originale. Questa
caratteristica è ottenuta grazie alla segmentazione di ogni battito cardiaco per indentificare i segmenti
QRS e TUP, seguito dal processo di modulazione/demodulazione (che include strecciamento e
compressione) del segmento TUP, per aggiustarlo in modo adattativo alla morfologia e alla durata di
ogni battito originario. Dapprima applicato all’ECG adulto al fine di dimostrare la sua robustezza al
rumore, l’SBMM è stato poi applicato al caso fetale. Particolarmente significativi sono i risultati relativi
alle applicazioni su ECGf non invasivo, dove l’SBMM fornisce segnali caratterizzati da un rapporto
segnale-rumore comparabile a quello caratterizzante l’ECGf invasivo. Tuttavia, l’SBMM può
contribuire alla diffusione dell’ECGf non invasiva nella pratica clinica.The heart is the first organ that develops in the fetus, particularly in the very early stages
of pregnancy. Compared to the adult heart, the physiology and anatomy of the fetal heart
exhibit some significant differences. These differences originate from the fact that the fetal
cardiovascular circulation is different from the adult circulation. Fetal well-being
evaluation may be accomplished by monitoring cardiac activity through fetal
electrocardiography (fECG). Invasive fECG (acquired through scalp electrodes) is the
gold standard but its invasiveness limits its clinical applicability. Instead, clinical use of
non-invasive fECG (acquired through abdominal electrodes) has so far been limited by its
poor signal quality. Non-invasive fECG is extracted from the abdominal recording and is
corrupted by different kind of noise, among which maternal ECG is the main interference.
The Segmented-Beat Modulation Method (SBMM) was recently proposed by myself as a
new template-based filtering procedure able to provide a clean ECG estimation from a
noisy recording by preserving physiological ECG variability of the original signal. The
former feature is achieved thanks to a segmentation procedure applied to each cardiac
beat in order to identify the QRS and TUP segments, followed by a
modulation/demodulation process (involving stretching and compression) of the TUP
segments to adaptively adjust each estimated cardiac beat to the original beat morphology
and duration. SBMM was first applied to adult ECG applications, in order to demonstrate
its robustness to noise, and then to fECG applications. Particularly significant are the
results relative to the non-invasive applications, where SBMM provided fECG signals
characterized by a signal-to-noise ratio comparable to that characterizing invasive fECG.
Thus, SBMM may contribute to the spread of this noninvasive fECG technique in the
clinical practice.INGEGNERIA DELL'INFORMAZIONEAgostinelli, AngelaAgostinelli, Angel
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