Fernando Andreotti

Publication Activity (10 Years)

Years Active: 2013-2020
Publications (10 Years): 20

Top Topics

Kalman Filtering

Emergency Department

Transfer Learning

Top Venues

IEEE Trans. Biomed. Eng.

Publications

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
COVID-19 Patient Outcome Prediction Using Selected Features from Emergency Department Data and Feed-Forward Neural Networks. MobiHealth (2020)
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
Prediction of the onset of cardiovascular diseases from electronic health records using multi-task gated recurrent units. CoRR (2020)
Oliver Carr, Fernando Andreotti, Kate E. A. Saunders, Niclas Palmius, Guy M. Goodwin, Maarten De Vos
Monitoring Depression in Bipolar Disorder using Circadian Measures from Smartphone Accelerometers. CoRR (2020)
Oliver Carr, Stojan Jovanovic, Luca Albergante, Fernando Andreotti, Robert Dürichen, Nadia Lipunova, Janie Baxter, Rabia T. Khan, Benjamin Irving
Deep Semi-Supervised Embedded Clustering (DSEC) for Stratification of Heart Failure Patients. CoRR (2020)
Joachim A. Behar, Chengyu Liu, 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, Kevin Kotzen, Chandan K. Karmakar, Gari D. Clifford
Remote health monitoring in the time of COVID-19. CoRR (2020)
Huy Phan, Fernando Andreotti, Navin Cooray, Oliver Y. Chén, Maarten De Vos
Joint Classification and Prediction CNN Framework for Automatic Sleep Stage Classification. IEEE Trans. Biomed. Eng. 66 (5) (2019)
Epaminondas S. Lage, Rodolfo L. Santos, Sandro M. T. Junior, Fernando Andreotti
Low-Cost IoT Surveillance System Using Hardware-Acceleration and Convolutional Neural Networks. WF-IoT (2019)
John Prince, Fernando Andreotti, Maarten De Vos
Multi-Source Ensemble Learning for the Remote Prediction of Parkinson's Disease in the Presence of Source-Wise Missing Data. IEEE Trans. Biomed. Eng. 66 (5) (2019)
John Prince, Fernando Andreotti, Maarten De Vos
Evaluation of Source-wise Missing Data Techniques for the Prediction of Parkinson's Disease Using Smartphones. ICASSP (2019)
Huy Phan, Fernando Andreotti, Navin Cooray, Oliver Y. Chén, Maarten De Vos
Automatic Sleep Stage Classification Using Single-Channel EEG: Learning Sequential Features with Attention-Based Recurrent Neural Networks. EMBC (2018)
Fernando Andreotti, Huy Phan, Navin Cooray, Christine Lo, Michele T. M. Hu, Maarten De Vos
Multichannel Sleep Stage Classification and Transfer Learning using Convolutional Neural Networks. EMBC (2018)
Huy Phan, Fernando Andreotti, Navin Cooray, Oliver Y. Chén, Maarten De Vos
Joint Classification and Prediction CNN Framework for Automatic Sleep Stage Classification. CoRR (2018)
Huy Phan, Fernando Andreotti, Navin Cooray, Oliver Y. Chén, Maarten De Vos
SeqSleepNet: End-to-End Hierarchical Recurrent Neural Network for Sequence-to-Sequence Automatic Sleep Staging. CoRR (2018)
Navin Cooray, Fernando Andreotti, Christine Lo, Mkael Symmonds, Michele T. M. Hu, Maarten De Vos
Detection of REM Sleep Behaviour Disorder by Automated Polysomnography Analysis. CoRR (2018)
Fernando Andreotti, Huy Phan, Maarten De Vos
Visualising convolutional neural network decisions in automated sleep scoring. AIH@IJCAI (2018)
Navin Cooray, Fernando Andreotti, Christine Lo, Mkael Symmonds, Michele T. M. Hu, Maarten De Vos
Automating the Detection of REM Sleep Behaviour Disorder. EMBC (2018)
Huy Phan, Fernando Andreotti, Navin Cooray, Oliver Y. Chén, Maarten De Vos
DNN Filter Bank Improves 1-Max Pooling CNN for Single-Channel EEG Automatic Sleep Stage Classification. EMBC (2018)
Fernando Andreotti, Felix Gräßer, Hagen Malberg, Sebastian Zaunseder
Non-invasive Fetal ECG Signal Quality Assessment for Multichannel Heart Rate Estimation. IEEE Trans. Biomed. Eng. 64 (12) (2017)
Oliver Carr, Fernando Andreotti, Kate Saunders, Amy Bilderbeck, Guy M. Goodwin, Maarten De Vos
Linking Changes in Heart Rate Variability to Mood Changes in Daily Life. CinC (2017)
Fernando Andreotti, Oliver Carr, Marco A. F. Pimentel, Adam Mahdi, Maarten De Vos
Comparing Feature Based Classifiers and Convolutional Neural Networks to Detect Arrhythmia from Short Segments of ECG. CinC (2017)
Daniel Wedekind, Alexander Trumpp, Fernando Andreotti, Frederik Gaetjen, Stefan Rasche, Klaus Matschke, Hagen Malberg, Sebastian Zaunseder
Assessment of source separation techniques to extract vital parameters from videos. EUSIPCO (2015)
Joachim Behar, Fernando Andreotti, Julien Oster, Gari D. Clifford
A Bayesian Filtering Framework for Accurate Extracting of the Non Invasive FECG Morphology. CinC (2014)
Fernando Andreotti, Joachim Behar, Julien Oster, Gari D. Clifford, Hagen Malberg, Sebastian Zaunseder
Optimized Modelling of Maternal ECG Beats using the Stationary Wavelet Transform. CinC (2014)
Mohsan S. Alvi, Fernando Andreotti, Julien Oster, Sebastian Zaunseder, Gari D. Clifford, Joachim Behar
fecgsyngui: A GUI Interface to fecgsynfor the Simulation of Maternal-Foetal Activity Mixtures on Abdominal Electrocardiogram Recordings. CinC (2014)
Alistair E. W. Johnson, Joachim Behar, Fernando Andreotti, Gari D. Clifford, Julien Oster
R- Peak Estimation using Multimodal Lead Switching. CinC (2014)
Fernando Andreotti, Maik Riedl, Tilo Himmelsbach, Daniel Wedekind, Sebastian Zaunseder, Niels Wessel, Hagen Malberg
Maternal Signal Estimation by Kalman Filtering and Template Adaptation for Fetal Heart Rate Extraction. CinC (2013)