Fetal Heart Rate Morphological Analysis Toolbox (FHRMA)

バージョン 2.1 (361 MB) 作成者: Samuel Boudet
A dataset and a matlab toolbox for morphological analysis of Fetal Heart Rate signal

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更新 2022/7/21

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A dataset and a matlab toolbox for morphological analysis of Fetal Heart Rate signal

All information on the wiki https://github.com/utsb-fmm/FHRMA/wiki

To start, type FHRMA-menu on Matlab or launch the app

Presentation image

FIG. 1. Illustration of the main fhrmorpho interface. (A) main window, (B) discordance evaluation between WMFB method and expert consensus (C) WMFB method analysis (D) Expert consensus analysis.

This toolbox is related to several papers. Please cite those papers if you use any of the data or source code of this repository. [4] must be cited if you use the toolbox. [1] must be cited if you use the morphological analysis (baseline, Acceleration, deceleration) [3] must be cited if you use the morphological analysis dataset. [5] must be cited if you use the WMFB method (current best) for morphological analysis. [6] must be cited if you use the false signal detection, method, interface and/or dataset.

[1] Houzé de l’Aulnoit, A., Boudet, S., Demailly, R., Delgranche, A., Peyrodie, L., Beuscart, R., Houzé de l’Aulnoit,D. - Automated fetal heart rate analysis for baseline determination and acceleration/deceleration detection: A comparison of 11 methods versus expert consensus. Biomedical Signal Processing and Control 49:113 -123,2019, DOI:10.1016/j.bspc.2018.10.002 Download on Researchgate

[2] Houzé de l'Aulnoit, Agathe, Boudet, Samuel, Demailly, Romain, Peyrodie, Laurent, Beuscart, Regis, Houzé de l'Aulnoit, Denis - Baseline fetal heart rate analysis: eleven automatic methods versus expert consensus. Engineering in Medicine and Biology Society (EMBC), 2016 IEEE 38th Annual International Conference of the pp. 3576--3581,2016, DOI:10.1109/EMBC.2016.7591501 Download on researchgate

[3] Boudet, S., Houzé de l’Aulnoit, A., Demailly, R., Delgranche, A., Peyrodie, L., Beuscart, R., Houzé de l’Aulnoit,D. - Fetal heart rate signal dataset for training morphological analysis methods and evaluating them against an expert consensus. Preprints pp. Submitted to data in brief,2019, DOI:10.20944/preprints201907.0039.v1 Download on researchgate

[4] Boudet, S., Houzé de l’Aulnoit, A., Demailly, R., Delgranche, A., Peyrodie, L., Beuscart, R., Houzé de l’Aulnoit,D. - A fetal heart rate morphological analysis toolbox for MATLAB. SoftwareX. 2020 Jan 1;11:100428. DOI:10.1016/j.softx.2020.100428 Download on researchgate

[5] Boudet, S., Houzé de l’Aulnoit, A., Demailly, R., Peyrodie, L., Beuscart, R., Houzé de l’Aulnoit,D. - Fetal heart rate baseline computation with a weighted median filter. Computers in biology and medicine. 2019 Nov 1;114:103468. DOI:10.1016/j.compbiomed.2019.103468 Download on researchgate

[6] Boudet, S., Houzé de l’Aulnoit, A., Demailly, R., Peyrodie, L., Houzé de l’Aulnoit,D. - Use of deep learning to detect the maternal heart rate and false signals on fetal heart rate recordings. Biosensors 2022; 12(9):691. DOI:10.3390/bios12090691 Download on researchgate

Patch note V2.1 - July 21th 2022

  • Adding python source code for training FS methods
  • Updating documentation

Patch note V2.0 - July 5th 2022

  • Introduced the new sub-project of False Signal (FS) detection
  • fhropen and fhrsave functions have change parameters to read other data available from CTG monitors (Sensor types and signal quality). Parameters are not in the same order than before.
  • Train test and analyses data for baseline and A/D called FHRMA dataset, are now in FHRMAdataset subfolder
  • interpolFHR now works also when Sig loss are coded NaN (or 0)
  • Correct an incompatibility with other system than Windows. multisigfilter c function was compiled only for Windows and we replace with the Matlab built-in (but slower) function filtfilt in case this cases of other systems.
  • Make a new start function FHRMA-menu and an APP to give an overview of this toolbox

引用

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MATLAB リリースの互換性
作成: R2022a
R2019a 以降と互換性あり
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