This site is an live review of automated morphological analysis of Fetal Heart Rate (FHR) signals.
Contents of this website
- An FHR morphological analysis toolbox for MATLAB with 12 methods from litterature which have been re-coded 
- A dataset of FHR signals annotated by an expert consensus for training and evaluating methods 
- A leaderboard of the evaluated methods . Submission of new methods are welcome.
- The source code of the WMFB method developed by our research group .
This website is related to the papers :
Please cite those papers if you use any of the data or source code of this website.  is the main reference which you must cite if you want to make any reference to this work.  must be cited if you use the dataset.  must be cite if you use the toolbox.  must be cite if you use the WMFB method. Citing most of the five references will be much appreciated but not mandatory.
 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 Download on researchgate
 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 Download on researchgate
 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 Download on researchgate
 Boudet, S., Houzé de l’Aulnoit, A., Demailly, R., Delgranche, A., Peyrodie, L., Beuscart, R., Houzé de l’Aulnoit,D. - Matlab toolbox for Fetal Heart Rate morphological analysis Preprint pp. Submitted to softwareX,2019 Download on researchgate
 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 pp. in Press,2019 View on researchgate - 50 days' free access official share link
The FHR analyse is an important diagnostic element of fetal acidosis during the first step of delivery. There is a very important variability of inter-expert and intra-expert interpretation due to criteria sometines fuzzy and miss of pratician formation. For this reason, numerous researcher have worked on methods to automatically analyse the FHR signals and predict the risk of acidosis.
The analysis of FHR rest on the determiniation of elementary parameters :
- baseline which is the mean level of FHR in stable periods
- variabilty which correspond to the size of variation in stable periods
- presence of accelerations which correspond to temporary increase of FHR
- presence of decelarations which correspond to temporary decrease FHR
- presence of sinusoidal pattern
There is a cyclic defintion on this problem : to locate the baseline it is required to remove accidents (accelerations and decelerations) and to detect accidents it is required to know the baseline to detect periods outside the normal variability of signal.
A most problematic case would be for example a signal which alternate between 170 bpm and 140 bpm. If the baseline is considered at 170 bpm, there would be a tachycardia and the period at 140 bpm would then be decelerations ; the rhythms would then be non reassuring. If the baseline is considered at 140 bpm, the periods at 170 bpm will then be accelerations and the rhythm is then perfectly healthy.
Determining the baseline is then the first step for automated analyse of FHR signal, if the baseline is perfectly defined the remaining of other parmeters can be determine relatively easily.
Our evaluation is based only on clinical expertise but not on delivery results which is another complicated step to realise by combining all elementenray element to determine acidosis risk. It is not impossible that a method would be efficient for predicting acidosis risk but have poor ability to provide the same results of experts for the baseline.
This site is in open editing. Everybody is welcome to contribute by proposing or correcting content, adding discussion or simply correcting english mistake.
Particularly we encourage engeneer researcher to :
- to add published method on the functionnal comparison
- if possible provide Matlab source code so we can test it and add it to the performance comparison. (If developpers do not want their sourcecode be published on this website, we can process the evaluation without publishing the code or they can only provide the baseline result (with possibly acceleration and deceleration) of the file in the evaluation database. P-code could also be accepted to provide a free to use program without providing sourcecode)
- to add or correct elements in method description and in discussion
- correct program differences between the sourcecode and the method proposed by the authors
- Simply report errors, missing references, or discussable element
We encourage also volunter obstetrician, expert on FHR analysis, to participate to the baseline location on the evaluation recordings.
We keep the right to moderate the modification in case of incorrect, inobjective or incertain information writting. We are the only administrator which can change to modify the result part to ensure protocol is respected.