Michiel J. Rooijakkers M.Sc.

My name is Michiel Rooijakkers and I was born at the end of 1982 in 's Hertogenbosch, The Netherlands. In 2008 I did an internship at the Maxima Medical Center in Veldhoven, to research the use of wavelet transforms in fetal heart rate variability analysis. In May 2009 I started an internship at Philips Research in Eindhoven, resulting in my thesis titled "Ultra-low-power R-peak detection, allowing for a trade-off between detection quality and power consumption”, for which I obtained the M.Sc. degree at the University of Technology Eindhoven (TU/e), in 2010. In October 2017 I obtained my Ph.D. degree at the TU/e with a thesis on “Continuous ambulatory pregnancy monitoring”. The focus of this multi-disciplinary research topic involves applying, implementing, and optimizing signal processing techniques for a low-power wearable system to determine the health of a fetus and the progression of pregnancy using sensors placed on the maternal abdomen. Currently, I am part of Bloomlife (Genk - BE and San-Francisco - USA), where I hope to improve people’s quality of life using smart at home ambulatory monitoring techniques.

 

Ph.D. research project: SEBAN

During my period at the TU/e as a Ph.D. candidate I have spent my time as part of the SEBAN project (Smart Energy Body Area Sensor Networks for Pregnancy Monitoring), which aimed at researching, designing, and implementing a prototype device for ambulatory measurement of fetal health and progression of pregnancy.

The problem Statistics show that pregnancies occur at a steadily higher age, with first-time births to women in their 30s are rapidly becoming the norm. As a result, mother and child face increasing risks for miscarriage, premature delivery, birth defects, and health problems later in life. Ten to twenty percent of all pregnancies are complicated by hypertension, preterm delivery, and fetal growth retardation, resulting in 1.500 deaths a year in the Netherlands alone. Pregnancy monitoring techniques are essential to assess the key risk factors and permit timely medical intervention. This is confirmed by the 65% drop of mortality (data registered at the Maxima Medical Center, Eindhoven, bet ween 1997 and 2003) in complicated pregnancies when continuous patient monitoring is performed. However, with the current technology, this type of care is extremely expensive and it requires additional hospital personnel. Therefore, it is becoming increasingly important to continuously monitor the health status of mother and fetus throughout the pregnancy at home, so as to offload the hospitals while permitting timely medical action when acute health risks are detected.

The solution The project aims at ambulatory monitoring the condition of mother and fetus during pregnancy, detecting complications and predicting the delivery time. The key challenge in pregnancy monitoring is to replace current hospital-based monitoring systems by alternatives that are non-invasive, sufficiently reliable, comfortable, and applicable for continuous mobile monitoring throughout the pregnancy.

The following poster also gives a good impression of the scope of the SEBAN project.

Currently at Bloomlife

Since 2014 I am the lead signal processing engineer at Bloomlife, where I continue to design algorithms for ambulatory monitoring of parameters related to fetal health and the progression of pregnancy. This already allows women to continuously monitor their uterine activity and contractions leading up to delivery in the comfort of their home. We are working towards enabling pregnant women to continuously monitor there pregnancy at home, offering the future parents and their care takers more insight into the health of both mother and fetus.

Student internships

At the moment I am looking for students who would like to do an internship which is related to fetal and maternal health monitoring and low-power computing. Internships can take the form of either a Bachelor-end project, an internship, or a Master thesis project.

If you are interested in doing an internship, or if you have an interesting idea for an internship yourself, please contact me at: michiel@bloomlife.com or contact Prof. Dr. I.r. Massimo Mischi or Dr. Ir. Chiara Rabotti at the TU/e.

Contact info

Michiel J Rooijakkers M.Sc. Ph.D.

Lead signal processing at Bloomlife
phone: +31 6 37337678
e-mail: michiel@bloomlife.com

Publications

2017

/ M.J. Rooijakkers, "Signal Analysis for Continuous Electrophysiological Monitoring of Pregnancy", PhD Thesis, 2017.

2016

/ S. Song, M. Rooijakkers, P. Harpe, C. Rabotti, M. Mischi, A. van Roermund, and E. Cantatore, "A Noise Reconfigurable Current-Reuse Resistive Feedback Amplifier With Signal-Dependent Power Consumption for Fetal ECG Monitoring", IEEE Sensors Journal, vol. 16, no. 23, 2016, pp. 8304-8313.
/ Linda M. Eerikäinen, Joaquin Vanschoren, Michael J. Rooijakkers, Rik Vullings, and Ronald M. Aarts, "Reduction of false arrhythmia alarms using signal selection and machine learning", Physiological Measurement, vol. 37, no. 8, 2016, pp. 1204-1216.
/ Marco Altini, Patrick Mullan, Michiel Rooijakkers, Stefan Gradl, Julien Penders, Nele Geusens, Lars Grieten, and Bjoern Eskofier, "Detection of fetal kicks using body-worn accelerometers during pregnancy: Trade-offs between sensors number and positioning", Engineering in Medicine and Biology Society (EMBC), 2016 IEEE 38th Annual International Conference of the, 2016, pp. 5319--5322.

2015

/ Lin Xu, Michael J Rooijakkers, Chiara Rabotti, Jan Peuscher, and Massimo Mischi, "Use of power-line interference for adaptive motion artifact removal in biopotential measurements", Physiological Measurement, vol. 37, 2015, pp. 25-40.
/ L. M. Eerikäinen, J. Vanschoren, M. J. Rooijakkers, R. Vullings, and R. M. Aarts, "Decreasing the False Alarm Rate of Arrhythmias in Intensive Care Using a Machine Learning Approach", 2015 Computing in Cardiology Conference (CinC), Sophia Antipolis, France, 2015, pp. 293-296.
/ Michiel Rooijakkers, Chiara Rabotti, Hinke de Lau, S Oei, Jan Bergmans, and Massimo Mischi, "Feasibility study of a new method for low-complexity fetal movement detection from abdominal ECG recordings", IEEE Journal of Biomedical and Health Informatics, 2015, pp. 1361 -- 1368.
/ Shuang Song, Michaël Rooijakkers, Pieter Harpe, Chiara Rabotti, Massimo Mischi, Arthur H. M. Van Roermund, and Eugenio Cantatore, "A Low-Voltage Chopper-Stabilized Amplifier for Fetal ECG Monitoring With a 1.41 Power Efficiency Factor", Biomedical Circuits and Systems, IEEE Transactions on, vol. 9, no. 2, 2015, pp. 237-247.

2014

/ M.J. Rooijakkers, H. de Lau, C. Rabotti, S.G. Oei, J.W.M. Bergmans, and M. Mischi, "Fetal movement detection based on QRS amplitude variations in abdominal ECG recordings", Engineering in Medicine and Biology Society (EMBC), 36th Annual International Conference of the IEEE, 2014, pp. 1452--1455.
/ S. Song, M.J. Rooijakkers, P. Harpe, C. Rabotti, M. Mischi, A.H.M. van Roermund, and E. Cantatore, "A multiple-channel frontend system with current reuse for fetal monitoring applications", Circuits and Systems (ISCAS), 2014 IEEE International Symposium on, 2014, pp. 253 -- 256.
/ Michael J Rooijakkers, Chiara Rabotti, S Guid Oei, Ronald M Aarts, and Massimo Mischi, "Low-complexity intrauterine pressure estimation using the Teager energy operator on electrohysterographic recordings", Physiological Measurement, vol. 35, no. 7, 2014, pp. 1215 - 1228.
/ M.J. Rooijakkers, C. Rabotti, and M. Mischi, "Low-complexity intrauterine pressure estimation using the Teager energy Operator", IEEE SBE Symposium Advancing Healthcare, Eindhoven, 2014, pp. 17.
/ M. J. Rooijakkers, S. Song, C. Rabotti, S. G. Oei, J. W. M. Bergmans, E. Cantatore, and M. Mischi, "Influence of Electrode Placement on Signal Quality for Ambulatory Pregnancy Monitoring", Computational and Mathematical Methods in Medicine, vol. 2014, 2014, pp. 12.

2013

/ M.J. Rooijakkers, C. Rabotti, and M. Mischi, "Using the Teager energy operator for low-complexity intrauterine pressure estimation ", Proceedings on 12th Belgian Day on Biomedical Engineering - joint meeting with IEEE EMBS Benelux Chapter, Brussels, 2013, pp. 45.
/ Hinke de Lau, Chiara Rabotti, Rianne Bijloo, Michael Johannes Rooijakkers, Massimo Mischi, and S. Guid Oei, "Automated Conduction Velocity Analysis in the Electrohysterogram for Prediction of Imminent Delivery: A Preliminary Study", Computational and Mathematical Methods in Medicine, vol. 2013, 2013, pp. 7.
/ S. Song, M.J. Rooijakkers, P.J.A. Harpe, C. Rabotti, M. Mischi, A.H.M. van Roermund, and E. Cantatore, "A 430nW 64nV/square root Hertz current-reuse telescopic amplifier for neural recording applications", Proceedings of the 2013 IEEE-BIOCAS Biomedical Circuits and Systems Conference, BIOCAS 2013, 2013.
/ M.J. Rooijakkers, C. Rabotti, S.G. Oei, R.M. Aarts, and M. Mischi, "Low-complexity intrauterine pressure monitoring by Teager energy estimation", 35th Annual International Conference of the IEEE EMBS, Osaka, 2013, pp. 7424 - 7427.
/ M.J. Rooijakkers, C. Rabotti, and M. Mischi, "Model-based SNR estimation in abdominal ECG for optimal electrode placement", 1st Jan Beneken Conference on Modeling and Symulation of Human Physiology, Eindhoven, 2013.
/ M.J. Rooijakkers, S. Song, C. Rabotti, M. Mischi, and E. Cantatore, "Optimal Electrode Selection for Ambulatory Pregnancy Monitoring", Sense of Contact 15 - Sensors across the application domains, Soesterberg, 2013.
/ M. J. Rooijakkers, C. Rabotti, and M. Mischi, "Selection of optimal electrode positions for ambulatory pregnancy monitoring", Book of Abstracts of the 4th Dutch Conference on Bio-Medical Engineering (BME 2013), 24-25 January 2013, Egmond aan Zee, The Netherlands, 2013, pp. 211 - 212.
/ S. Song, M.J. Rooijakkers, C. Rabotti, M. Mischi, A.H.M. van Roermund, and E. Cantatore, "A low-power noise scalable instrumentation amplifier for fetal monitoring applications", Circuits and Systems (ISCAS), 2013 IEEE International Symposium on, 2013, pp. 1926-1929.

2012

/ Michael J Rooijakkers, Chiara Rabotti, S Guid Oei, and Massimo Mischi, "Low-complexity R-peak detection for ambulatory fetal monitoring", Physiological Measurement, vol. 33, no. 7, 2012, pp. 1135 - 1150.

2011

/ M.J. Rooijakkers, C. Rabotti, and M Mischi, "Low complexity R-peak detection as a first step in ambulatory fetal monitoring", 10th Belgian Day on Biomedical Engineering - joint meeting with IEEE EMBS Benelux Chapter, Brussels, Belgium, 2011, pp. 143.
/ R. Vullings, M.J. Rooijakkers, and M. Mischi, "Latency variable source separation for heart rate detection in low-quality ECG signals", Engineering in Medicine and Biology Society, EMBC, 2011 Annual International Conference of the IEEE, 2011, pp. 6935 -6938.
/ M.J. Rooijakkers, C. Rabotti, and M. Mischi, "Low-complexity maternal R-peak detection in antenatal abdominal recordings", Book of Abstracts of the 3rd Dutch Conference on Bio-Medical Engineering (BME 2011), 2011, pp. 10.
/ M.J. Rooijakkers, C. Rabotti, M. Bennebroek, J. van Meerbergen, and M. Mischi, "Low-complexity R-peak detection in ECG signals: A preliminary step towards ambulatory fetal monitoring", Engineering in Medicine and Biology Society,EMBC, 2011 Annual International Conference of the IEEE, Boston, USA, 2011, pp. 1761-1764.
/ C. H. L. Peters, R. Vullings, M. J. Rooijakkers, J. W. M. Bergmans, S. G. Oei, and P. F. F. Wijn, "A continuous wavelet transform-based method for time-frequency analysis of artefact-corrected heart rate variability data", Physiological Measurement, vol. 32, no. 10, 2011, pp. 1517 - 1527.