activity
20182023
most citedSeqSleepNet: End-to-End Hierarchical Recurrent Neural Network for Sequence-to-Sequence Automatic Sleep Staging

632 citations · 1.1k across the 5 of their papers we have counts for

collaborators

5 papers

q-bio.QM2023

Automated Movement Detection with Dirichlet Process Mixture Models and Electromyography

Navin Cooray, Zhenglin Li, Jinzhuo Wang +6

Numerous sleep disorders are characterised by movement during sleep, these include rapid-eye movement sleep behaviour disorder (RBD) and periodic limb movement disorder. The proces…

q-bio.QM2019

Screening for REM Sleep Behaviour Disorder with Minimal Sensors

Navin Cooray, Fernando Andreotti, Christine Lo +3

Rapid-Eye-Movement (REM) sleep behaviour disorder (RBD) is an early predictor of Parkinson's disease, dementia with Lewy bodies, and multiple system atrophy. This study investigate…

cs.LG2018★ 3 cited

Detection of REM Sleep Behaviour Disorder by Automated Polysomnography Analysis

Navin Cooray, Fernando Andreotti, Christine Lo +3

Evidence suggests Rapid-Eye-Movement (REM) Sleep Behaviour Disorder (RBD) is an early predictor of Parkinson's disease. This study proposes a fully-automated framework for RBD dete…

cs.LG2018★ 632 cited

SeqSleepNet: End-to-End Hierarchical Recurrent Neural Network for Sequence-to-Sequence Automatic Sleep Staging

Huy Phan, Fernando Andreotti, Navin Cooray +2

Automatic sleep staging has been often treated as a simple classification problem that aims at determining the label of individual target polysomnography (PSG) epochs one at a time…

cs.LG2018★ 469 cited

Joint Classification and Prediction CNN Framework for Automatic Sleep Stage Classification

Huy Phan, Fernando Andreotti, Navin Cooray +2

Correctly identifying sleep stages is important in diagnosing and treating sleep disorders. This work proposes a joint classification-and-prediction framework based on CNNs for aut…