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08/18/2022
RRWaveNet: A Compact End-to-End Multi-Scale Residual CNN for Robust PPG Respiratory Rate Estimation
Respiratory rate (RR) is an important biomarker as RR changes can reflec...
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01/07/2021
MSED: a multi-modal sleep event detection model for clinical sleep analysis
Study objective: Clinical sleep analysis require manual analysis of slee...
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08/21/2020
Automatic sleep stage classification with deep residual networks in a mixed-cohort setting
Study Objectives: Sleep stage scoring is performed manually by sleep exp...
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04/10/2020
Deep transfer learning for improving single-EEG arousal detection
Datasets in sleep science present challenges for machine learning algori...
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05/16/2019
Towards a Flexible Deep Learning Method for Automatic Detection of Clinically Relevant Multi-Modal Events in the Polysomnogram
Much attention has been given to automatic sleep staging algorithms in p...
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12/07/2018
DOSED: a deep learning approach to detect multiple sleep micro-events in EEG signal
Background: Electroencephalography (EEG) monitors brain activity during ...
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10/08/2018
Deep residual networks for automatic sleep stage classification of raw polysomnographic waveforms
We have developed an automatic sleep stage classification algorithm base...
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07/11/2018
A deep learning architecture to detect events in EEG signals during sleep
Electroencephalography (EEG) during sleep is used by clinicians to evalu...
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10/05/2017