PhD Thesis

My PhD thesis developed at the Institute of Biomedical Engineering of the Technische Universität Dresden focused on various aspects of FECG acquisition and processing. The work is available here under a Creative Commons license.

When referencing this work, please cite:

Andreotti, F. (2017), “Extraction and Detection of Fetal Electrocardiograms from Abdominal Recordings”, Insitut für Biomedizinische Technik, Fakultät für Elektrotechnik und Informationstechnik, Technische Universität Dresden, pp. 181.

Image Not Found Fig. Wordcloud of abstracts produced during PhD.

Fetal ECG Synthetic Generator (FECGSYN)

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The FECGSYN (available at www.fecgsyn.com ) is an open-source toolbox for FECG analysis licensed under GNU GPLv3. FECGSYN was developed in collaboration with Dr. Joachim Behar, Dr. Julien Oster, Dr. Sebastian Zaunseder and Prof. Gari D. Clifford. The toolbox is able to simulate realistic ECG/FECG tracings. Moreover, it contains a large amount of algorithms for extracting, detecting and analysing FECG signals. The toolbox is constantly maintained and we invite researchers to contribute with new algorithms or data to the toolbox.

FECGSYN-DB

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In addition to the FECGSYN toolbox, we produced a large simulated FECG dataset which is freely available at Physionet . The dataset aims at allowing researchers to compare their results with the standard algorithms available on the FECGSYN toolbox.