A fetal heart rate morphological analysis toolbox for MATLAB | Zendy

Samuel Boudet | Zendy; Agathe Houzé de l’Aulnoit | Zendy; Romain Demailly | Zendy; Aline Delgranche | Zendy; Laurent Peyrodie | Zendy; R. Beuscart | Zendy; D. Houzé de l’Aulnoit | Zendy

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A fetal heart rate morphological analysis toolbox for MATLAB

Author(s) -

Samuel Boudet,

Agathe Houzé de l’Aulnoit,

Romain Demailly,

Aline Delgranche,

Laurent Peyrodie,

R. Beuscart,

D. Houzé de l’Aulnoit

Publication year - 2020

Publication title -

softwarex

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.528

H-Index - 21

ISSN - 2352-7110

DOI - 10.1016/j.softx.2020.100428

Subject(s) - toolbox , computer science , matlab , signal (programming language) , fetal heart rate , signal processing , fetal hypoxia , annotation , artificial intelligence , data mining , real time computing , pattern recognition (psychology) , heart rate , fetus , computer hardware , medicine , digital signal processing , programming language , pregnancy , biology , blood pressure , genetics

The fetal heart rate (FHR) is a screening signal for preventing fetal hypoxia during labor. When experts analyze this signal, they have to position a baseline and then identify decelerations and accelerations. These steps can potentially be automated and made more objective by signal processing analysis. Various methods have been described in the literature but there are no open-source programs for performing these steps. The MATLAB toolbox presented here comprises a standard signal pre-processing function, 12 re-coded literature methods for fetal heart rate analysis, a signal viewer (enabling annotation by an expert) and an evaluation procedure with various criteria.

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