Are you interested in developing fundamental knowledge in signal processing to push the frontiers of pregnancy monitoring? Do you enjoy technical challenges connected to real clinical and industrial environment? This stimulating PhD position might be the right one for you!
The
Biomedical Diagnostic (BM/d) Lab at the Eindhoven University of Technology (TU/e) is seeking an outstanding PhD candidate to work in the field of pregnancy monitoring with focus on the coupling between mother and fetus cardiovascular systems and the mediating role of the uterus and placenta. The project is embedded within the NWO-OTP project MAPPING in tight collaboration with the respected expert center Máxima Medial Center of Veldhoven, and international Dutch companies such as Philips and Medsim.
Project descriptionThe 'big four' pregnancy pathologies (i.e., fetal growth restriction, premature birth, congenital disease, and asphyxia) have an incidence of 17-24%, resulting yearly in 2.6 million stillbirths and 303,000 maternal deaths globally. The detection of these pathologies is often late because the implementation of early detection strategies is currently limited. There is established evidence that pathologies and stillbirths are associated with an abnormal development of the fetal cardiovascular system (fCVS) and placenta as well as a maladaptation to gestation of the maternal cardiovascular system (mCVS) and the uterus. However, how these abnormal mechanisms result in pregnancy-related cardiovascular complications has not been fully investigated yet. Nevertheless, the (patho)physiological interaction among these systems might be the key to unravel the mechanisms responsible for pregnancy pathologies. The MAPPING project envisions a comprehensive investigation of the coupling between mCVS and fCVS, as mediated by the uterus and placenta, both in healthy and pathological pregnancies, with the final aim of improving pregnancy outcome. MAPPING will support the development of novel, diagnostic tools for timely diagnosis and, ultimately, prediction of pregnancy complications.
The PhD candidate will conduct a comprehensive investigation into the coupling between the maternal and fetal cardiovascular systems during pregnancy. To achieve this, the candidate will employ synchronized multimodal data, incorporating traditional methods like color Doppler ultrasound and innovative electrophysiological measurements such as maternal and fetal electrocardiography and electrohysterography. The investigation will span different gestational ages and consider varying health statuses.
The acquired multimodal signals will be processed for extraction of meaningful features which will establish the basis for developing comprehensive models of the coupling using a data-driven approach. The deviation between healthy and pathological pregnancies will be detected through machine learning tools. These tools will be integrated into a clinical decision support system, evaluated through interactions with clinicians for diagnosing and predicting pregnancy complications. The candidate will closely work with our industrial partners, as Philips and Medsim, to support a possible translation of the project outcomes into a commercial product.
Your tasks will be:
- To define the clinical protocol for the electrophysiological and ultrasound data acquisition, being responsible for the study design in collaboration with our clinical partner. In particular, the candidate will define the measurement setup.
- To design and implement the algorithms for the extraction and selection of ultrasound and electrophysiological features to describe the behavior and characteristics of the cardiovascular system.
- To develop dedicated mathematical models to describe the coupling between the maternal and fetal cardiovascular systems. The candidate will also investigate how these relations are mediated by the uterus and placenta throughout different phases of pregnancy and according to the health status. The obtained models will be translated into coupling maps.
- To identify statistical tools best suited to highlight changes in coupling maps as pregnancy progresses over time and between healthy and pathological pregnancies.
- To develop machine-learning classifiers to automatically discern between healthy and pathological pregnancies.
Academic and Research Environment: Eindhoven University of Technology (TU/e) is one of Europe's top technological universities, situated in the heart of one of Europe's largest high-tech innovation ecosystems. Research at TU/e is characterized by a combination of academic excellence and a strong real-world impact. This impact is pursued via close collaboration with high-tech industries and clinical partners.
Research related to this position will be carried out at the Biomedical Diagnostics (BM/d) lab of the Signal Processing Systems (SPS) group, which is part of the Electrical Engineering department. The BM/d lab, chaired by Prof. Mischi, has a strong track record in electrophysiological signal processing, physiological modelling, and quantitative analysis of biosignals, ranging from ultrasound and MRI to electrophysiology. More specifically for this project, the BM/d lab has also a long tradition in pregnancy monitoring. For more information, see this
link.
The candidate will work with various members of the SPS group. Furthermore, the candidate will have the opportunity to work closely with a clinical PhD and collaborate with all the partners of the MAPPING project, particularly the Máxima Medical Center and Philips, both located at close distance.