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ORCIDFernando Andreotti
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2020 – today
- 2020
[c16]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: 323-335- [i7]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 abs/2005.08537 (2020) - [i6]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 abs/2007.02064 (2020) - [i5]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 abs/2007.08491 (2020) - [i4]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 abs/2012.13233 (2020)
2010 – 2019
- 2019
- [j3]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): 1285-1296 (2019) - [j2]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): 1402-1411 (2019) - [c15]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: 3927-3930 - [c14]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: 931-936 - 2018
- [c13]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: 171-174 - [c12]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: 453-456 - [c11]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: 1452-1455 - [c10]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: 1460-1463 - [c9]Fernando Andreotti, Huy Phan, Maarten De Vos:
Visualising convolutional neural network decisions in automated sleep scoring. AIH@IJCAI 2018: 70-81 - [i3]Huy Phan, Fernando Andreotti, Navin Cooray, Oliver Y. Chén, Maarten De Vos:
Joint Classification and Prediction CNN Framework for Automatic Sleep Stage Classification. CoRR abs/1805.06546 (2018) - [i2]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 abs/1809.10932 (2018) - [i1]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 abs/1811.04662 (2018) - 2017
- [j1]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): 2793-2802 (2017) - [c8]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 - [c7]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 - 2015
- [c6]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: 434-438 - 2014
- [c5]Joachim Behar, Fernando Andreotti, Julien Oster, Gari D. Clifford:
A Bayesian Filtering Framework for Accurate Extracting of the Non Invasive FECG Morphology. CinC 2014: 53-56 - [c4]Alistair E. W. Johnson, Joachim Behar, Fernando Andreotti, Gari D. Clifford, Julien Oster:
R- Peak Estimation using Multimodal Lead Switching. CinC 2014: 281-284 - [c3]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: 325-328 - [c2]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: 541-544 - 2013
- [c1]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: 193-196
Coauthor Index
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