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Interpretable deep learning for the remote characterisation of ambulation in multiple sclerosis using smartphones

Scientific reports, 2021-07, Vol.11 (1), p.14301-14301, Article 14301

2021

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Towards More Accurate Automatic Sleep Staging via Deep Transfer Learning

IEEE transactions on biomedical engineering, 2021-06, Vol.68 (6), p.1787-1798

2021

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IEEE_Xplore

CMS2-Net: Semi-Supervised Sleep Staging for Diverse Obstructive Sleep Apnea Severity

IEEE journal of biomedical and health informatics, 2022-07, Vol.26 (7), p.3447-3457

2022

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IEEE_Xplore

Detecting Mild Cognitive Impairment via Digital Biomarkers of Cognitive Performance Found in Klondike Solitaire: A Machine-Learning Study

Digital biomarkers, 2021-01, Vol.5 (1), p.44-52

2021

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A semi-supervised interactive algorithm for change point detection

Data mining and knowledge discovery, 2024-03, Vol.38 (2), p.623-651

2024

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A Novel Loss for Change Point Detection Models with Time-invariant Representations

IEEE signal processing letters, 2023-01, Vol.30, p.1-5

2023

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IEEE_Xplore

Target Speaker Detection with Concealed EEG Around the Ear

Frontiers in neuroscience, 2016-07, Vol.10, p.349-349

2016

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Building a Machine-Learning Framework to Remotely Assess Parkinson's Disease Using Smartphones

IEEE transactions on biomedical engineering, 2020-12, Vol.67 (12), p.3491-3500

2020

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IEEE_Xplore

Neonatal EEG sleep stage classification based on deep learning and HMM

Journal of neural engineering, 2020-06, Vol.17 (3), p.36031-036031

2020

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Automated sleep staging on reduced channels in children with epilepsy

Frontiers in neurology, 2024, Vol.15, p.1390465-1390465

2024

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Performance of Contactless Respiratory Rate Monitoring by Albus HomeTM, an Automated System for Nocturnal Monitoring at Home: A Validation Study

Sensors (Basel, Switzerland), 2022-09, Vol.22 (19), p.7142

2022

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Assessing focus through ear-EEG: a comparative study between conventional cap EEG and mobile in- and around-the-ear EEG systems

Frontiers in neuroscience, 2023-09, Vol.17, p.895094-895094

2023

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Multivariate Generative Adversarial Networks and Their Loss Functions for Synthesis of Multichannel ECGs

IEEE access, 2021, Vol.9, p.158936-158945

2021

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Probing potential priming: Defining, quantifying, and testing the causal priming effect using the potential outcomes framework

Frontiers in psychology, 2022-11, Vol.13, p.724498-724498

2022

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Improved Electrode Motion Artefact Denoising in ECG Using Convolutional Neural Networks and a Custom Loss Function

IEEE access, 2022, Vol.10, p.54891-54898

2022

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Principal component analysis of flow-volume curves in COPDGene to link spirometry with phenotypes of COPD

Respiratory research, 2023-01, Vol.24 (1), p.20-20, Article 20

2023

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Block term decomposition for modelling epileptic seizures

EURASIP journal on advances in signal processing, 2014-09, Vol.2014 (1), p.1-19, Article 139

2014

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Predicting total lung capacity from spirometry: a machine learning approach

Frontiers in medicine, 2023-05, Vol.10, p.1174631-1174631

2023

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Multimodal detection of typical absence seizures in home environment with wearable electrodes

Frontiers in signal processing (Lausanne), 2022-10, Vol.2

2022

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Longitudinal Trend Monitoring of Multiple Sclerosis Ambulation Using Smartphones

IEEE open journal of engineering in medicine and biology, 2022-01, Vol.3, p.202-210

2022

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Look me in the eye: evaluating the accuracy of smartphone-based eye tracking for potential application in autism spectrum disorder research

Biomedical engineering online, 2019-05, Vol.18 (1), p.51-51, Article 51

2019

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Denoising EEG Signals for Real-World BCI Applications Using GANs

Frontiers in neuroergonomics, 2022-01, Vol.2, p.805573-805573

2022

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The Power of ECG in Semi-Automated Seizure Detection in Addition to Two-Channel behind-the-Ear EEG

Bioengineering (Basel), 2023-04, Vol.10 (4), p.491

2023

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Objective differentiation of neonatal EEG background grades using detrended fluctuation analysis

Frontiers in human neuroscience, 2015-04, Vol.9, p.189-189

2015

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Performance of cough monitoring by Albus Home, a contactless and automated system for nocturnal respiratory monitoring at home

ERJ open research, 2022-10, Vol.8 (4), p.265

2022

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Interpretable deep learning for the remote characterisation of ambulation in multiple sclerosis using smartphones

Towards More Accurate Automatic Sleep Staging via Deep Transfer Learning

CMS2-Net: Semi-Supervised Sleep Staging for Diverse Obstructive Sleep Apnea Severity

Detecting Mild Cognitive Impairment via Digital Biomarkers of Cognitive Performance Found in Klondike Solitaire: A Machine-Learning Study

A semi-supervised interactive algorithm for change point detection

A Novel Loss for Change Point Detection Models with Time-invariant Representations

Target Speaker Detection with Concealed EEG Around the Ear

Building a Machine-Learning Framework to Remotely Assess Parkinson's Disease Using Smartphones

Neonatal EEG sleep stage classification based on deep learning and HMM

Automated sleep staging on reduced channels in children with epilepsy

Performance of Contactless Respiratory Rate Monitoring by Albus HomeTM, an Automated System for Nocturnal Monitoring at Home: A Validation Study

Assessing focus through ear-EEG: a comparative study between conventional cap EEG and mobile in- and around-the-ear EEG systems

Multivariate Generative Adversarial Networks and Their Loss Functions for Synthesis of Multichannel ECGs

Probing potential priming: Defining, quantifying, and testing the causal priming effect using the potential outcomes framework

Improved Electrode Motion Artefact Denoising in ECG Using Convolutional Neural Networks and a Custom Loss Function

Principal component analysis of flow-volume curves in COPDGene to link spirometry with phenotypes of COPD

Block term decomposition for modelling epileptic seizures

Predicting total lung capacity from spirometry: a machine learning approach

Multimodal detection of typical absence seizures in home environment with wearable electrodes

Longitudinal Trend Monitoring of Multiple Sclerosis Ambulation Using Smartphones

Look me in the eye: evaluating the accuracy of smartphone-based eye tracking for potential application in autism spectrum disorder research

Denoising EEG Signals for Real-World BCI Applications Using GANs

The Power of ECG in Semi-Automated Seizure Detection in Addition to Two-Channel behind-the-Ear EEG

Objective differentiation of neonatal EEG background grades using detrended fluctuation analysis

Performance of cough monitoring by Albus Home, a contactless and automated system for nocturnal respiratory monitoring at home

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