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Science should aim at improving human life, education at improving humans.

Research profile

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 caredeveloping 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. 

Academic background

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. 

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Research Output

  • 3 Citations (Scopus)
    3 Downloads (Pure)

    Machine learning for classification of uterine activity outside pregnancy

    Bakkes, T. H. G. F., Sammali, F., Kuijsters, N. P. M., Turco, S., Rabotti, C., Schoot, D. & Mischi, M., Jul 2019, 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2019. Piscataway: Institute of Electrical and Electronics Engineers, p. 2161-2164 4 p. 8857374

    Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

  • 3 Downloads (Pure)

    Motion-artifact reduction in capacitive heart-rate measurements by adaptive filtering

    Xu, L., Rabotti, C., Zhang, Y., Ouzounov, S., Harpe, P. J. A. & Mischi, M., Oct 2019, In : IEEE Transactions on Instrumentation and Measurement. 68, 10, p. 4085-4093 9 p., 8573141.

    Research output: Contribution to journalArticleAcademicpeer-review

    Open Access
    File
  • 1 Citation (Scopus)
    12 Downloads (Pure)

    Prizes

  • Courses

    Biomedical sensing technology

    1/09/15 → …

    Course

    Student theses

    Analysis of nonlinear features from electrohysterogram

    Author: Chen, C., 31 Oct 2015

    Supervisor: Mischi, M. (Supervisor 1) & Rabotti, C. (Supervisor 2)

    Student thesis: Master

    Analysis of the uterine electrical activity ex-vivo based on electrohysterography (EHG)

    Author: Ye, X., 26 Apr 2018

    Supervisor: Rabotti, C. (Supervisor 1), Mischi, M. (Supervisor 2) & Schoot, B. (Supervisor 2)

    Student thesis: Master

    Effect of motion artifact removal on the electromyographic estimation of fatigue during vibration training using a novel prototype

    Author: Keijts, M., 31 Aug 2011

    Supervisor: Aarts, R. (Supervisor 1), Mischi, M. (Supervisor 2) & Rabotti, C. (Supervisor 2)

    Student thesis: Master

    Electrohysterography (EHG) in non pregnant women to improve in vitro fertilization (IVF): a feasibility study

    Author: Santini, M., 31 May 2013

    Supervisor: Mischi, M. (Supervisor 1) & Rabotti, C. (Supervisor 2)

    Student thesis: Master

    MUAP modeling and multiscale analysis for conduction velocity estimation

    Author: Rossi, V., 2007

    Supervisor: Mischi, M. (Supervisor 1), Rabotti, C. (Supervisor 2) & Tortoli, P. (External person) (External coach)

    Student thesis: Master

    File