Maternal Signal Estimation by Kalman Filtering and Template Adaptation for Fetal Heart Rate Extraction. - Fernando Andreotti; Maik Riedl; Tilo Himmelsbach; Daniel Wedekind; Sebastian Zaunseder; Niels Wessel; Hagen Malberg (CinC, 2013)

fecgsyngui: A GUI Interface to fecgsynfor the Simulation of Maternal-Foetal Activity Mixtures on Abdominal Electrocardiogram Recordings. - Mohsan S. Alvi; Fernando Andreotti; Julien Oster; Sebastian Zaunseder; Gari D. Clifford; Joachim Behar (CinC, 2014)

Optimized Modelling of Maternal ECG Beats using the Stationary Wavelet Transform. - Fernando Andreotti; Joachim Behar; Julien Oster; Gari D. Clifford; Hagen Malberg; Sebastian Zaunseder (CinC, 2014)

A Bayesian Filtering Framework for Accurate Extracting of the Non Invasive FECG Morphology. - Joachim Behar; Fernando Andreotti; Julien Oster; Gari D. Clifford (CinC, 2014)

R- Peak Estimation using Multimodal Lead Switching. - Alistair E. W. Johnson; Joachim Behar; Fernando Andreotti; Gari D. Clifford; Julien Oster (CinC, 2014)

Assessment of source separation techniques to extract vital parameters from videos. - Daniel Wedekind; Alexander Trumpp; Fernando Andreotti; Frederik Gaetjen; Stefan Rasche; Klaus Matschke; Hagen Malberg; Sebastian Zaunseder (EUSIPCO, 2015)

Comparing Feature Based Classifiers and Convolutional Neural Networks to Detect Arrhythmia from Short Segments of ECG. - Fernando Andreotti; Oliver Carr; Marco A. F. Pimentel; Adam Mahdi; Maarten De Vos (CinC, 2017)

Linking Changes in Heart Rate Variability to Mood Changes in Daily Life. - Oliver Carr; Fernando Andreotti; Kate Saunders; Amy Bilderbeck; Guy M. Goodwin; Maarten De Vos (CinC, 2017)

Non-invasive Fetal ECG Signal Quality Assessment for Multichannel Heart Rate Estimation. - Fernando Andreotti; Felix Gräßer; Hagen Malberg; Sebastian Zaunseder (IEEE Trans. Biomed. Eng., 2017)

Multichannel Sleep Stage Classification and Transfer Learning using Convolutional Neural Networks. - Fernando Andreotti; Huy Phan; Navin Cooray; Christine Lo; Michele T. M. Hu; Maarten De Vos (EMBC, 2018)

Automating the Detection of REM Sleep Behaviour Disorder. - Navin Cooray; Fernando Andreotti; Christine Lo; Mkael Symmonds; Michele T. M. Hu; Maarten De Vos (EMBC, 2018)

DNN Filter Bank Improves 1-Max Pooling CNN for Single-Channel EEG Automatic Sleep Stage Classification. - Huy Phan; Fernando Andreotti; Navin Cooray; Oliver Y. Chén; Maarten De Vos (EMBC, 2018)

Automatic Sleep Stage Classification Using Single-Channel EEG: Learning Sequential Features with Attention-Based Recurrent Neural Networks. - Huy Phan; Fernando Andreotti; Navin Cooray; Oliver Y. Chén; Maarten De Vos (EMBC, 2018)

Visualising convolutional neural network decisions in automated sleep scoring. - Fernando Andreotti; Huy Phan; Maarten De Vos (AIH@IJCAI, 2018)

SeqSleepNet: End-to-End Hierarchical Recurrent Neural Network for Sequence-to-Sequence Automatic Sleep Staging. - Huy Phan; Fernando Andreotti; Navin Cooray; Oliver Y. Chén; Maarten De Vos (CoRR, 2018)

Detection of REM Sleep Behaviour Disorder by Automated Polysomnography Analysis. - Navin Cooray; Fernando Andreotti; Christine Lo; Mkael Symmonds; Michele T. M. Hu; Maarten De Vos (CoRR, 2018)

Evaluation of Source-wise Missing Data Techniques for the Prediction of Parkinson's Disease Using Smartphones. - John Prince; Fernando Andreotti; Maarten De Vos (ICASSP, 2019)

Low-Cost IoT Surveillance System Using Hardware-Acceleration and Convolutional Neural Networks. - Epaminondas S. Lage; Rodolfo L. Santos; Sandro M. T. Junior; Fernando Andreotti (WF-IoT, 2019)

Joint Classification and Prediction CNN Framework for Automatic Sleep Stage Classification. - Huy Phan; Fernando Andreotti; Navin Cooray; Oliver Y. Chén; Maarten De Vos (IEEE Trans. Biomed. Eng., 2019)

Multi-Source Ensemble Learning for the Remote Prediction of Parkinson's Disease in the Presence of Source-Wise Missing Data. - John Prince; Fernando Andreotti; Maarten De Vos (IEEE Trans. Biomed. Eng., 2019)

COVID-19 Patient Outcome Prediction Using Selected Features from Emergency Department Data and Feed-Forward Neural Networks. - Sophie Peacock; Mattia Cinelli; Frank S. Heldt; Lachlan McLachlan; Marcela P. Vizcaychipi; Alex McCarthy; Nadezda Lipunova; Robert A. Fletcher; Anne Hancock; Robert Dürichen; Fernando Andreotti; Rabia T. Khan (MobiHealth, 2020)

Remote health monitoring in the time of COVID-19. - Joachim A. Behar; Chengyu Liu 001; Kenta Tsutsui; Valentina D. A. Corino; Janmajay Singh; Marco A. F. Pimentel; Walter Karlen; Philip Warrick; Sebastian Zaunseder; Fernando Andreotti; Maxim Osipov; Patrick E. McSharry; et al. (CoRR, 2020)

Monitoring Depression in Bipolar Disorder using Circadian Measures from Smartphone Accelerometers. - Oliver Carr; Fernando Andreotti; Kate E. A. Saunders; Niclas Palmius; Guy M. Goodwin; Maarten De Vos (CoRR, 2020)

Prediction of the onset of cardiovascular diseases from electronic health records using multi-task gated recurrent units. - Fernando Andreotti; Frank S. Heldt; Basel Abu-Jamous; Ming Li; Avelino Javer; Oliver Carr; Stojan Jovanovic; Nadezda Lipunova; Benjamin Irving; Rabia T. Khan; Robert Dürichen (CoRR, 2020)

Deep Semi-Supervised Embedded Clustering (DSEC) for Stratification of Heart Failure Patients. - Oliver Carr; Stojan Jovanovic; Luca Albergante; Fernando Andreotti; Robert Dürichen; Nadia Lipunova; Janie Baxter; Rabia T. Khan; Benjamin Irving (CoRR, 2020)