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Sleep stage classification from heart-rate variability using long short-term memory neural networks

Scientific reports, 2019-10, Vol.9 (1), p.14149-11, Article 14149

2019

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Measures of cardiovascular autonomic activity in insomnia disorder: A systematic review

PloS one, 2017-10, Vol.12 (10), p.e0186716-e0186716

2017

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Unobtrusive sleep-state measurements in preterm infants - a review

Sleep medicine reviews, 2017-04, Vol.32, p.109-122

2017

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Epileptic Seizure Detection by Cascading Isolation Forest-based Anomaly Screening and EasyEnsemble

IEEE transactions on neural systems and rehabilitation engineering, 2022-01, Vol.30, p.1-1

2022

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A Survey of Stimulation Methods Used in SSVEP-Based BCIs

Computational Intelligence and Neuroscience, 2010, Vol.2010 (2010), p.239-250

2010

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A deep transfer learning approach for wearable sleep stage classification with photoplethysmography

NPJ digital medicine, 2021-09, Vol.4 (1), p.135-135, Article 135

2021

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A comparison of probabilistic classifiers for sleep stage classification

Physiological measurement, 2018-05, Vol.39 (5), p.55001

2018

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Hybrid Optical Unobtrusive Blood Pressure Measurements

Sensors (Basel, Switzerland), 2017-07, Vol.17 (7), p.1541

2017

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Atrial Fibrillation Detection Using a Novel Cardiac Ambulatory Monitor Based on Photo-Plethysmography at the Wrist

Journal of the American Heart Association, 2018-08, Vol.7 (15), p.e009351-e009351

2018

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Lying Awake at Night: Cardiac Autonomic Activity in Relation to Sleep Onset and Maintenance

Frontiers in neuroscience, 2020-01, Vol.13, p.1405-1405

2020

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Combining Cardiorespiratory Signals and Video-Based Actigraphy for Classifying Preterm Infant Sleep States

Children (Basel), 2023-11, Vol.10 (11), p.1792

2023

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Novel Framework: Face Feature Selection Algorithm for Neonatal Facial and Related Attributes Recognition

IEEE access, 2020, Vol.8, p.59100-59113

2020

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Sleep stage classification with ECG and respiratory effort

Physiological measurement, 2015-10, Vol.36 (10), p.2027-2040

2015

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Cardiorespiratory Sleep Stage Detection Using Conditional Random Fields

IEEE journal of biomedical and health informatics, 2017-07, Vol.21 (4), p.956-966

2017

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Atrial fibrillation monitoring with wrist-worn photoplethysmography-based wearables: State-of-the-art review

Cardiovascular digital health journal, 2020-07, Vol.1 (1), p.45-51

2020

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The acoustics of snoring

Sleep medicine reviews, 2010-04, Vol.14 (2), p.131-144

2010

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Validation of Photoplethysmography-Based Sleep Staging Compared With Polysomnography in Healthy Middle-Aged Adults

Sleep (New York, N.Y.), 2017-07, Vol.40 (7)

2017

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Characterizing cardiorespiratory interaction in preterm infants across sleep states using visibility graph analysis

Journal of applied physiology (1985), 2021-04, Vol.130 (4), p.1015-1024

2021

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Sleep and Wake Classification With Actigraphy and Respiratory Effort Using Dynamic Warping

IEEE journal of biomedical and health informatics, 2014-07, Vol.18 (4), p.1272-1284

2014

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EEG analysis of seizure patterns using visibility graphs for detection of generalized seizures

Journal of neuroscience methods, 2017-10, Vol.290, p.85-94

2017

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A Review on Atrial Fibrillation Detection From Ambulatory ECG

IEEE transactions on biomedical engineering, 2024-03, Vol.71 (3), p.876-892

2024

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Detecting Atrial Fibrillation and Atrial Flutter in Daily Life Using Photoplethysmography Data

IEEE journal of biomedical and health informatics, 2020-06, Vol.24 (6), p.1610-1618

2020

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An Atrial Fibrillation Detection Strategy in Dynamic ECGs With Significant Individual Differences

IEEE transactions on instrumentation and measurement, 2024, Vol.73, p.1-10

2024

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Automated preterm infant sleep staging using capacitive electrocardiography

Physiological measurement, 2019-06, Vol.40 (5), p.055003

2019

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Comparison between electrocardiogram- and photoplethysmogram-derived features for atrial fibrillation detection in free-living conditions

Physiological measurement, 2018-08, Vol.39 (8), p.84001

2018

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Sleep stage classification from heart-rate variability using long short-term memory neural networks

Measures of cardiovascular autonomic activity in insomnia disorder: A systematic review

Unobtrusive sleep-state measurements in preterm infants - a review

Epileptic Seizure Detection by Cascading Isolation Forest-based Anomaly Screening and EasyEnsemble

A Survey of Stimulation Methods Used in SSVEP-Based BCIs

A deep transfer learning approach for wearable sleep stage classification with photoplethysmography

A comparison of probabilistic classifiers for sleep stage classification

Hybrid Optical Unobtrusive Blood Pressure Measurements

Atrial Fibrillation Detection Using a Novel Cardiac Ambulatory Monitor Based on Photo-Plethysmography at the Wrist

Lying Awake at Night: Cardiac Autonomic Activity in Relation to Sleep Onset and Maintenance

Combining Cardiorespiratory Signals and Video-Based Actigraphy for Classifying Preterm Infant Sleep States

Novel Framework: Face Feature Selection Algorithm for Neonatal Facial and Related Attributes Recognition

Sleep stage classification with ECG and respiratory effort

Cardiorespiratory Sleep Stage Detection Using Conditional Random Fields

Atrial fibrillation monitoring with wrist-worn photoplethysmography-based wearables: State-of-the-art review

The acoustics of snoring

Validation of Photoplethysmography-Based Sleep Staging Compared With Polysomnography in Healthy Middle-Aged Adults

Characterizing cardiorespiratory interaction in preterm infants across sleep states using visibility graph analysis

Sleep and Wake Classification With Actigraphy and Respiratory Effort Using Dynamic Warping

EEG analysis of seizure patterns using visibility graphs for detection of generalized seizures

A Review on Atrial Fibrillation Detection From Ambulatory ECG

Detecting Atrial Fibrillation and Atrial Flutter in Daily Life Using Photoplethysmography Data

An Atrial Fibrillation Detection Strategy in Dynamic ECGs With Significant Individual Differences

Automated preterm infant sleep staging using capacitive electrocardiography

Comparison between electrocardiogram- and photoplethysmogram-derived features for atrial fibrillation detection in free-living conditions

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