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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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  • 3 Similar Profiles
Electrocardiography Engineering & Materials Science
Fetal monitoring Engineering & Materials Science
Monitoring Engineering & Materials Science
Vibration Medicine & Life Sciences
Muscle Engineering & Materials Science
Electromyography Engineering & Materials Science
Electrodes Engineering & Materials Science
Uterine Contraction Medicine & Life Sciences

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Research Output 2006 2019

1 Citation (Scopus)
2 Downloads (Pure)
pregnancy
Speckle
quantitative analysis
Ultrasonics
Singular value decomposition
3 Downloads (Pure)

Machine learning for classification of uterine activity outside pregnancy

Bakkes, T., Sammali, F., Kuijsters, N., Turco, S., Rabotti, C., Schoot, B. & Mischi, M., 7 Oct 2019, Engineering in Medicine and Biology Society (EMBC), Annual International Conference of the IEEE . Piscataway: IEEE EMBS, p. 2161-2164 8857374

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

Learning systems
Classifiers
Support vector machines
Speckle
Ultrasonics
5 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
electrocardiography
heart rate
Adaptive filtering
Electrocardiography
artifacts
1 Downloads (Pure)

Quantitative ultrasound imaging and characterization of uterine peristaltic waves

Huang, Y., Sammali, F., Blank, C., Kuijsters, N., Rabotti, C., Schoot, B. C. & Mischi, M., 25 Feb 2019, 2018 IEEE International Ultrasonics Symposium (IUS). Piscataway: Institute of Electrical and Electronics Engineers, 4 p. 8580218

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

uterus
contraction
emptying
ovaries
upstream
Peristalsis
Menstrual Cycle
Direction compound

Prizes

Uterine Contraction
Fertilization in Vitro
Infertility

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