Fetal heart rate estimation by non-invasive single abdominal electrocardiography in real clinical conditions

Dia, Nafissa; Fontecave-Jallon, Julie; Reséndiz, Mariel; Faisant, Marie-Caroline; Equy, V.; Riethmuller, Didier; Guméry, Pierre-Yves; Rivet, Bertrand

doi:10.1016/j.bspc.2021.103187

Cited by 14 publications

(14 citation statements)

References 28 publications

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“…Finally, forthcoming research of computerized intrapartum monitoring should be directed toward investigating multiple parameters derived from fetal heart rate and the application of novel machine-learning techniques for data analysis [44]. A more comfortable recording experience by using a single abdominal sensor is also suggested [45] in conjunction with novel measurements of FHR [46].…”

Section: Discussionmentioning

confidence: 99%

Differences in the Asymmetry of Beat-to-Beat Fetal Heart Rate Accelerations and Decelerations at Preterm and Term Active Labor

López-Justo

Pliego-Carrillo

Ledesma-Ramírez

et al. 2021

Sensors

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The fetal autonomic nervous system responds to uterine contractions during active labor as identified by changes in the accelerations and decelerations of fetal heart rate (FHR). Thus, this exploratory study aimed to characterize the asymmetry differences of beat-to-beat FHR accelerations and decelerations in preterm and term fetuses during active labor. In an observational study, we analyzed 10 min of fetal R-R series collected from women during active preterm labor (32–36 weeks of pregnancy, n = 17) and active term labor (38–40 weeks or pregnancy, n = 27). These data were used to calculate the Deceleration Reserve (DR), which is a novel parameter that quantifies the asymmetry of the average acceleration and deceleration capacity of the heart. In addition, relevant multiscale asymmetric indices of FHR were also computed. Lower values of DR, calculated with the input parameters of T = 50 and s = 10, were associated with labor occurring at the preterm condition (p = 0.0131). Multiscale asymmetry indices also confirmed significant (p < 0.05) differences in the asymmetry of FHR. Fetuses during moderate premature labor may experience more decaying R-R trends and a lower magnitude of decelerations compared to term fetuses. These differences of FHR dynamics might be related to the immaturity of the fetal cardiac autonomic nervous system as identified by this system response to the intense uterine activity at active labor.

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Section: Discussionmentioning

confidence: 99%

Differences in the Asymmetry of Beat-to-Beat Fetal Heart Rate Accelerations and Decelerations at Preterm and Term Active Labor

López-Justo

Pliego-Carrillo

Ledesma-Ramírez

et al. 2021

Sensors

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show abstract

“…Using the matrix factorization technique on the power spectrogram matrix for fHR estimation has shown some first promising results (Dia et al 2022). A direct implementation of this algorithm extracts an accurate evolution of the cardiac rhythm, regardless of some still present point-wise accuracy estimation errors.…”

Section: Model Descriptionmentioning

confidence: 99%

“…The W dictionary is fixed and contains a large set of Dirac combs, each one parametrized by a cardiac frequency value, ranging from 30 to 240 beats per minute (bpm), as would do the possible fetal heart frequencies (Dia et al 2022). The number of the dictionary components and thus of Dirac combs is K = 211 so as to estimate the signal with a precision of 1 bpm.…”

Section: Numerical Implementationmentioning

confidence: 99%

“…Finally, fECG signals were normalized to impose a zero-mean value. The full process is the same as in Dia et al (2022), where more details are provided.…”

Section: Signal Data Base Descriptionmentioning

confidence: 99%

“…In the light of these considerations, Dia et al (2022) present an algorithm to address the corresponding clinical aspect. It aims at enhancing the robustness under real clinical conditions.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Hidden Markov model in nonnegative matrix factorization for fetal heart rate estimation using physiological priors

Reséndiz¹,

Fontecave-Jallon²,

Rivet³

2022

Physiol. Meas.

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Objective. Fetal heart rate (fHR) analysis remains the most common technique for detecting fetal distress when monitoring the fetal well-being during labor. If cardiotocography (CTG) is nowadays the non-invasive clinical reference technique for fHR measurement, it suffers from several drawbacks, hence an increasing interest towards alternative technologies, especially around abdominal ECG (aECG). Approach. An original solution, using a single abdominal lead, was recently proposed to address both the feasibility in clinical routine and the challenging detection of temporal events when facing interfered signals from real life conditions. Based on a specification of the non-negative matrix factorization (NMF) algorithm, it exploits the semi-periodicity of fetal electrocardiogram (fECG) for fHR estimation. However, this method assumes temporal independence and therefore does not consider the continuity property of fHR values. It is thus proposed to add to the NMF framework a hidden Markov model (HMM) to include physiological information about fHR temporal evolution. Under a statistical setting, constraints have been added by accommodating regularization terms through Bayesian priors. Main results. The proposed method is evaluated on 23 real aECG signals from a new clinical database, according to CTG reference, and compared with the original NMF-only algorithm. The new proposed method improves performance, with an agreement with CTG increasing from 71% to 80%. Significance. This highlights the interest of a better modelization of the fHR characteristics for a more robust estimation.

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Adopting artificial intelligence algorithms for remote fetal heart rate monitoring and classification using wearable fetal phonocardiography

Abburi,

Hatai,

Jaros

et al. 2024

Applied Soft Computing

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Fetal heart rate estimation by non-invasive single abdominal electrocardiography in real clinical conditions

Cited by 14 publications

References 28 publications

Differences in the Asymmetry of Beat-to-Beat Fetal Heart Rate Accelerations and Decelerations at Preterm and Term Active Labor

Differences in the Asymmetry of Beat-to-Beat Fetal Heart Rate Accelerations and Decelerations at Preterm and Term Active Labor

Hidden Markov model in nonnegative matrix factorization for fetal heart rate estimation using physiological priors

Adopting artificial intelligence algorithms for remote fetal heart rate monitoring and classification using wearable fetal phonocardiography

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