Fernando Andreotti
Fernando Andreotti
Sensyne Health
Verified email at sensynehealth.com
Title
Cited by
Cited by
Year
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
962018
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
862019
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
802014
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
792014
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
782016
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
772017
Multimodal heart beat detection using signal quality indices
AEW Johnson, J Behar, F Andreotti, GD Clifford, J Oster
Physiological measurement 36 (8), 1665, 2015
712015
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
682016
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
442014
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
402018
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
382018
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
362013
Monitoring fetal maturation—objectives, techniques and indices of autonomic function
D Hoyer, J Żebrowski, D Cysarz, H Gonçalves, A Pytlik, C Amorim-Costa, ...
Physiological measurement 38 (5), R61, 2017
332017
DNN filter bank improves 1-max pooling CNN for single-channel EEG automatic sleep stage classification
H Phan, F Andreotti, N Cooray, OY Chén, M De Vos
2018 40th Annual International Conference of the IEEE Engineering in …, 2018
282018
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
282017
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
262019
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
232013
Multi-Source ensemble learning for the remote prediction of Parkinson's disease in the presence of source-wise missing data
J Prince, F Andreotti, M De Vos
IEEE Transactions on Biomedical Engineering 66 (5), 1402-1411, 2018
202018
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
172014
Early risk assessment for COVID-19 patients from emergency department data using machine learning
FS Heldt, MP Vizcaychipi, S Peacock, M Cinelli, L McLachlan, F Andreotti, ...
Scientific reports 11 (1), 1-13, 2021
152021
The system can't perform the operation now. Try again later.
Articles 1–20