Publications by authors named "Fernando Andreotti"

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Proof of concept: Screening for REM sleep behaviour disorder with a minimal set of sensors.
Navin Cooray, Fernando Andreotti, Christine Lo, Mkael Symmonds, Michele T M Hu

Clin Neurophysiol· April 2021

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Early risk assessment for COVID-19 patients from emergency department data using machine learning.
Frank S Heldt, Marcela P Vizcaychipi, Sophie Peacock, Mattia Cinelli, Lachlan McLachlan, Fernando Andreotti

Sci Rep· February 2021

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Remote health diagnosis and monitoring in the time of COVID-19.
Joachim A Behar, Chengyu Liu, Kevin Kotzen, Kenta Tsutsui, Valentina D A Corino, Fernando Andreotti

Physiol Meas· November 2020

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Joint Classification and Prediction CNN Framework for Automatic Sleep Stage Classification.
Huy Phan, Fernando Andreotti, Navin Cooray, Oliver Y Chen, Maarten De Vos

IEEE Trans Biomed Eng· May 2019

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Multi-Source Ensemble Learning for the Remote Prediction of Parkinson's Disease in the Presence of Source-Wise Missing Data.
John Prince, Fernando Andreotti, Maarten De Vos

IEEE Trans Biomed Eng· May 2019

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Detection of REM sleep behaviour disorder by automated polysomnography analysis.
Navin Cooray, Fernando Andreotti, Christine Lo, Mkael Symmonds, Michele T M Hu

Clin Neurophysiol· April 2019

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SeqSleepNet: End-to-End Hierarchical Recurrent Neural Network for Sequence-to-Sequence Automatic Sleep Staging.
Huy Phan, Fernando Andreotti, Navin Cooray, Oliver Y Chen, Maarten De Vos

IEEE Trans Neural Syst Rehabil Eng· March 2019

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Multichannel Sleep Stage Classification and Transfer Learning using Convolutional Neural Networks.
Fernando Andreotti, Huy Phan, Navin Cooray, Christine Lo, Michele T M Hu

Annu Int Conf IEEE Eng Med Biol Soc· July 2018

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DNN Filter Bank Improves 1-Max Pooling CNN for Single-Channel EEG Automatic Sleep Stage Classification.
Huy Phan, Fernando Andreotti, Navin Cooray, Y Oliver Chen, Maarten De Vos

Annu Int Conf IEEE Eng Med Biol Soc· July 2018

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Automatic Sleep Stage Classification Using Single-Channel EEG: Learning Sequential Features with Attention-Based Recurrent Neural Networks.
Huy Phan, Fernando Andreotti, Navin Cooray, Oliver Y Chen, Maarten De Vos

Annu Int Conf IEEE Eng Med Biol Soc· July 2018

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Automating the Detection of REM Sleep Behaviour Disorder.
Navin Cooray, Fernando Andreotti, Christine Lo, Mkael Symmonds, Michele T M Hu

Annu Int Conf IEEE Eng Med Biol Soc· July 2018

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Non-invasive Fetal ECG Signal Quality Assessment for Multichannel Heart Rate Estimation.
Fernando Andreotti, Felix Graser, Hagen Malberg, Sebastian Zaunseder

IEEE Trans Biomed Eng· December 2017

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The use of non-invasive fetal electrocardiography in diagnosing second-degree fetal atrioventricular block.
Igor Lakhno, Joachim A Behar, Julien Oster, Vyacheslav Shulgin, Oleksii Ostras, Fernando Andreotti

Matern Health Neonatol Perinatol· August 2017

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Monitoring fetal maturation-objectives, techniques and indices of autonomic function.
Dirk Hoyer, Jan Żebrowski, Dirk Cysarz, Hernâni Gonçalves, Adelina Pytlik, Fernando Andreotti

Physiol Meas· May 2017

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An open-source framework for stress-testing non-invasive foetal ECG extraction algorithms.
Fernando Andreotti, Joachim Behar, Sebastian Zaunseder, Julien Oster, Gari D Clifford

Physiol Meas· May 2016

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A practical guide to non-invasive foetal electrocardiogram extraction and analysis.
Joachim Behar, Fernando Andreotti, Sebastian Zaunseder, Julien Oster, Gari D Clifford

Physiol Meas· May 2016

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Multimodal heart beat detection using signal quality indices.
Alistair E W Johnson, Joachim Behar, Fernando Andreotti, Gari D Clifford, Julien Oster

Physiol Meas· August 2015

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An ECG simulator for generating maternal-foetal activity mixtures on abdominal ECG recordings.
Joachim Behar, Fernando Andreotti, Sebastian Zaunseder, Qiao Li, Julien Oster

Physiol Meas· August 2014

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Robust fetal ECG extraction and detection from abdominal leads.
Fernando Andreotti, Maik Riedl, Tilo Himmelsbach, Daniel Wedekind, Niels Wessel

Physiol Meas· August 2014

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