Michael Johannes Rooijakkers

Decreasing the false alarm rate of arrhythmias in intensive care using a machine learning approach

Linda M. Eerikäinen, Joaquin Vanschoren, Michael Johannes Rooijakkers, 2015, 2015 Computing in Cardiology Conference (CinC).

Fetal movement detection based on QRS amplitude variations in abdominal ECG recordings

Michael Johannes Rooijakkers, Chiara Rabotti, Hinke de Lau, 2014, 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

A low-power noise scalable instrumentation amplifier for fetal monitoring applications

Shuang Song, Arthur H. M. van Roermund, Michael Johannes Rooijakkers, 2013, 2013 IEEE International Symposium on Circuits and Systems (ISCAS2013).

Influence of Electrode Placement on Signal Quality for Ambulatory Pregnancy Monitoring

Shuang Song, Michael Johannes Rooijakkers, Jan W. M. Bergmans, 2014, Comput. Math. Methods Medicine.

A multiple-channel frontend system with current reuse for fetal monitoring applications

Shuang Song, Arthur H. M. van Roermund, Michael Johannes Rooijakkers, 2014, 2014 IEEE International Symposium on Circuits and Systems (ISCAS).

Low-complexity intrauterine pressure monitoring by Teager energy estimation

Michael Johannes Rooijakkers, Ronald M. Aarts, Chiara Rabotti, 2013, 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Automated Conduction Velocity Analysis in the Electrohysterogram for Prediction of Imminent Delivery: A Preliminary Study

Michael Johannes Rooijakkers, Chiara Rabotti, Hinke de Lau, 2013, Comput. Math. Methods Medicine.

A Low-Voltage Chopper-Stabilized Amplifier for Fetal ECG Monitoring With a 1.41 Power Efficiency Factor

Shuang Song, Arthur H. M. van Roermund, Michael Johannes Rooijakkers, 2015, IEEE Transactions on Biomedical Circuits and Systems.

Latency variable source separation for heart rate detection in low-quality ECG signals

Michael Johannes Rooijakkers, Rik Vullings, Massimo Mischi, 2011, 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

A low-power frontend system for fetal ECG monitoring applications

Arthur H. M. van Roermund, Michael Johannes Rooijakkers, Pieter Harpe, 2015, 2015 6th International Workshop on Advances in Sensors and Interfaces (IWASI).

Feasibility Study of a New Method for Low-Complexity Fetal Movement Detection From Abdominal ECG Recordings

Michael Johannes Rooijakkers, Jan W. M. Bergmans, Chiara Rabotti, 2016, IEEE Journal of Biomedical and Health Informatics.