Low-complexity R-peak detection in ECG signals: A preliminary step towards ambulatory fetal monitoring. - Michiel Rooijakkers; Chiara Rabotti; Martijn Bennebroek; Jef L. van Meerbergen; Massimo Mischi (EMBC, 2011)

Latency variable source separation for heart rate detection in low-quality ECG signals. - Rik Vullings; Michael Johannes Rooijakkers; Massimo Mischi (EMBC, 2011)

A 430nW 64nV/vHz current-reuse telescopic amplifier for neural recording applications. - Shuang Song 003; Michael Johannes Rooijakkers; Pieter Harpe; Chiara Rabotti; Massimo Mischi; Arthur H. M. van Roermund; Eugenio Cantatore (BioCAS, 2013)

Low-complexity intrauterine pressure monitoring by Teager energy estimation. - Michael Johannes Rooijakkers; Chiara Rabotti; S. Guid Oei; Ronald M. Aarts; Massimo Mischi (EMBC, 2013)

A low-power noise scalable instrumentation amplifier for fetal monitoring applications. - Shuang Song 003; Michael Johannes Rooijakkers; Chiara Rabotti; Massimo Mischi; Arthur H. M. van Roermund; Eugenio Cantatore (ISCAS, 2013)

Automated Conduction Velocity Analysis in the Electrohysterogram for Prediction of Imminent Delivery: A Preliminary Study. - Hinke de Lau; Chiara Rabotti; Rianne Bijloo; Michael Johannes Rooijakkers; Massimo Mischi; S. Guid Oei (Comput. Math. Methods Medicine, 2013)

Fetal movement detection based on QRS amplitude variations in abdominal ECG recordings. - Michael Johannes Rooijakkers; Hinke de Lau; Chiara Rabotti; S. Guid Oei; Johannes W. M. Bergmans; Massimo Mischi (EMBC, 2014)

A multiple-channel frontend system with current reuse for fetal monitoring applications. - Shuang Song 003; Michael Johannes Rooijakkers; Pieter Harpe; Chiara Rabotti; Massimo Mischi; Arthur H. M. van Roermund; Eugenio Cantatore (ISCAS, 2014)

Influence of Electrode Placement on Signal Quality for Ambulatory Pregnancy Monitoring. - Michael Johannes Rooijakkers; Shuang Song 003; Chiara Rabotti; S. Guid Oei; Jan W. M. Bergmans; Eugenio Cantatore; Massimo Mischi (Comput. Math. Methods Medicine, 2014)

Decreasing the False Alarm Rate of Arrhythmias in Intensive Care Using a Machine Learning Approach. - Linda M. Eerikäinen; Joaquin Vanschoren; Michael Johannes Rooijakkers; Rik Vullings; Ronald M. Aarts (CinC, 2015)

A low-power frontend system for fetal ECG monitoring applications. - Shuang Song 003; Michael Johannes Rooijakkers; Pieter Harpe; Chiara Rabotti; Massimo Mischi; Arthur H. M. van Roermund; Eugenio Cantatore (IWASI, 2015)

A Low-Voltage Chopper-Stabilized Amplifier for Fetal ECG Monitoring With a 1.41 Power Efficiency Factor. - Shuang Song 003; Michael Johannes Rooijakkers; Pieter Harpe; Chiara Rabotti; Massimo Mischi; Arthur H. M. van Roermund; Eugenio Cantatore (IEEE Trans. Biomed. Circuits Syst., 2015)

Detection of fetal kicks using body-worn accelerometers during pregnancy: Trade-offs between sensors number and positioning. - Marco Altini; Patrick Mullan; Michiel Rooijakkers; Stefan Gradl; Julien Penders; Nele Geusens; Lars Grieten; Bjoern M. Eskofier (EMBC, 2016)

Feasibility Study of a New Method for Low-Complexity Fetal Movement Detection From Abdominal ECG Recordings. - Michael Johannes Rooijakkers; Chiara Rabotti; Hinke de Lau; S. Guid Oei; Jan W. M. Bergmans; Massimo Mischi (IEEE J. Biomed. Health Informatics, 2016)

Combining electrohysterography and heart rate data to detect labour. - Marco Altini; Elisa Rossetti; Michiel Rooijakkers; Julien Penders; Dorien Lanssens; Lars Grieten; Wilfried Gyselaers (BHI, 2017)

Variable-length accelerometer features and electromyography to improve accuracy of fetal kicks detection during pregnancy using a single wearable device. - Marco Altini; Elisa Rossetti; Michiel Rooijakkers; Julien Penders; Dorien Lanssens; Lars Grieten; Wilfried Gyselaers (BHI, 2017)

Towards Non-invasive Labour Detection: A Free-Living Evaluation. - Marco Altini; Elisa Rossetti; Michael Johannes Rooijakkers; Julien Penders (EMBC, 2018)

A 5-Channel Unipolar Fetal-ECG Readout IC for Patch-Based Fetal Monitoring. - Roland Van Wegberg; Julien Penders; Chris Van Hoof; Nick Van Helleputte; Wim Sijbers; Shuang Song 003; Arjan Breeschoten; Peter Vis; Mario Konijnenburg; Hui Jiang; Michiel Rooijakkers; Torfinn Berset (ESSCIRC, 2019)