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Chiara Rabotti is Assistant Professor in the Signal Processing Systems group at Eindhoven University of Technology (TU/e). During her PhD research at TU/e, Rabotti employed modeling and biomedical signal analysis to improve maternity care, developing new methods for noninvasive pregnancy monitoring and prediction of premature birth. With the VENI grant she received in 2012, Rabotti is funding her research on the analysis of uterine activity outside pregnancy to increase the success rate of assisted reproductive technology. In general, Rabotti’s research focuses on developing dedicated processing tools for bipotential signal measurements such as electrohysterography, electromyography and electrocardiography. Since these signals are usually recorded noninvasively, developing multiscale, physiology-based modeling is a fundamental step for robust and accurate estimation of the relevant diagnostic features. Clinical relevance of the developed methods is top priority, strengthened by a tight, long-standing collaboration with local hospitals and health centers.
Chiara Rabotti holds an MSc in Electrical Engineering from the University of Florence (Italy) and obtained her PhD from Eindhoven University of Technology (TU/e) in 2009 for her thesis on the characterization of uterine activity during pregnancy. She worked as researcher for Twente Medical Systems International for a year before returning to TU/e as postdoctoral researcher. In 2013, she was appointed Assistant Professor at TU/e.
Does vibration superimposed on low-level isometric contraction alter motor unit recruitment strategy?Journal of Neural Engineering (2018)
Feasibility of transabdominal electrohysterography for analysis of uterine activity in nonpregnant womenReproductive Sciences (2018)
Clinical use of electrohysterography during term \laborObstetrical and Gynecological Survey (2018)
Effects of vibration-induced fatigue on the H-reflexJournal of Electromyography and Kinesiology (2018)
Dedicated entropy measures for early assessment of pregnancy progression from single-channel electrohysterographyIEEE Transactions on Biomedical Engineering (2018)
- Signal processing basics(Signals I)
- Internship SPS
- Biomedical sensing technology
- Applied signal processing basics
No ancillary activities