Fernando Andreotti
Fernando Andreotti
Institute of Biomedical Engineering, University of Oxford
Підтверджена електронна адреса в eng.ox.ac.uk - Домашня сторінка
НазваПосиланняРік
Robust fetal ECG extraction and detection from abdominal leads
F Andreotti, M Riedl, T Himmelsbach, D Wedekind, N Wessel, H Stepan, ...
Physiological measurement 35 (8), 1551, 2014
612014
Multimodal heart beat detection using signal quality indices
AEW Johnson, J Behar, F Andreotti, GD Clifford, J Oster
Physiological measurement 36 (8), 1665, 2015
572015
A practical guide to non-invasive foetal electrocardiogram extraction and analysis
J Behar, F Andreotti, S Zaunseder, J Oster, GD Clifford
Physiological measurement 37 (5), R1, 2016
462016
An ECG simulator for generating maternal-foetal activity mixtures on abdominal ECG recordings
J Behar, F Andreotti, S Zaunseder, Q Li, J Oster, GD Clifford
Physiological measurement 35 (8), 1537, 2014
432014
An open-source framework for stress-testing non-invasive foetal ECG extraction algorithms
F Andreotti, J Behar, S Zaunseder, J Oster, GD Clifford
Physiological measurement 37 (5), 627, 2016
332016
R-Peak Estimation using Multimodal Lead Switching
AEW Johnson, J Behar, F Andreotti, GD Clifford, J Oster
Computing in Cardiology Conference (CinC), 281-284, 2014
312014
Maternal signal estimation by Kalman filtering and template adaptation for fetal heart rate extraction
F Andreotti, M Riedl, T Himmelsbach, D Wedekind, S Zaunseder, ...
Computing in Cardiology 2013, 193-196, 2013
252013
Comparing feature-based classifiers and convolutional neural networks to detect arrhythmia from short segments of ECG
F Andreotti, O Carr, MAF Pimentel, A Mahdi, M De Vos
2017 Computing in Cardiology (CinC), 1-4, 2017
232017
SeqSleepNet: end-to-end hierarchical recurrent neural network for sequence-to-sequence automatic sleep staging
H Phan, F Andreotti, N Cooray, OY Chén, M De Vos
IEEE Transactions on Neural Systems and Rehabilitation Engineering 27 (3 …, 2019
132019
A Bayesian Filtering Framework for Accurate Extracting of the Non Invasive FECG Morphology
J Behar, F Andreotti, J Oster, GD Clifford
Computing in Cardiology Conference (CinC), 53 - 56, 2014
132014
Monitoring fetal maturation—objectives, techniques and indices of autonomic function
D Hoyer, J Żebrowski, D Cysarz, H Goncalves, A Pytlik, C Amorim-Costa, ...
Physiological measurement 38 (5), R61, 2017
122017
Non-invasive fetal ECG signal quality assessment for multichannel heart rate estimation
F Andreotti, F Gräßer, H Malberg, S Zaunseder
IEEE Transactions on Biomedical Engineering 64 (12), 2793-2802, 2017
122017
Fetal QRS detection by means of Kalman filtering and using the Event Synchronous Canceller
S Zaunseder, F Andreotti, M Cruz, H Stepan, C Schmieder, H Malberg, ...
International Journal of Bioelectromagnetism. ISSN 15 (1), 83-89, 2013
122013
Improved heart rate detection for camera-based photoplethysmography by means of Kalman filtering
F Andreotti, A Trumpp, H Malberg, S Zaunseder
2015 IEEE 35th International Conference on Electronics and Nanotechnology …, 2015
112015
Joint classification and prediction CNN framework for automatic sleep stage classification
H Phan, F Andreotti, N Cooray, OY Chén, M De Vos
IEEE Transactions on Biomedical Engineering 66 (5), 1285-1296, 2018
102018
Automatic sleep stage classification using single-channel eeg: Learning sequential features with attention-based recurrent neural networks
H Phan, F Andreotti, N Cooray, OY Chén, M De Vos
2018 40th Annual International Conference of the IEEE Engineering in …, 2018
82018
Visualising Convolutional Neural Network Decisions in Automated Sleep Scoring⋆
F Andreotti, H Phan, M De Vos
Joint Workshop on Artificial Intelligence in Health, ICML, 70-81, 2018
82018
Multichannel sleep stage classification and transfer learning using convolutional neural networks
F Andreotti, H Phan, N Cooray, C Lo, MTM Hu, M De Vos
2018 40th Annual International Conference of the IEEE Engineering in …, 2018
72018
Detection of REM sleep behaviour disorder by automated polysomnography analysis
N Cooray, F Andreotti, C Lo, M Symmonds, MTM Hu, M De Vos
Clinical Neurophysiology 130 (4), 505-514, 2019
62019
DNN filter bank improves 1-max pooling CNN for single-channel EEG automatic sleep stage classification
H Phan, F Andreotti, N Cooray, YO Chèn, M De Vos
2018 40th Annual International Conference of the IEEE Engineering in …, 2018
52018
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