Подписаться
Fernando Andreotti
Fernando Andreotti
Data and ML Engineer
Подтвержден адрес электронной почты в домене ufmg.br
Название
Процитировано
Процитировано
Год
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
5182019
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
4502018
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
1942017
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
1782016
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
1642016
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
1592018
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
1302014
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
1302014
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
1072018
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
1042018
Multimodal heart beat detection using signal quality indices
AEW Johnson, J Behar, F Andreotti, GD Clifford, J Oster
Physiological measurement 36 (8), 1665, 2015
1042015
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), 4200, 2021
1012021
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
912019
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
872018
Remote health diagnosis and monitoring in the time of COVID-19
JA Behar, C Liu, K Kotzen, K Tsutsui, VDA Corino, J Singh, MAF Pimentel, ...
Physiological measurement 41 (10), 10TR01, 2020
822020
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
772017
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
682014
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
662017
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
502013
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
392018
В данный момент система не может выполнить эту операцию. Повторите попытку позднее.
Статьи 1–20