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Time delay between cardiac and brain activity during sleep transitions

Applied physics letters, 2015-04, Vol.106 (14)

2015

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Modeling cardiorespiratory interaction during human sleep with complex networks

Applied physics letters, 2014-11, Vol.105 (20)

2014

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Analyzing respiratory effort amplitude for automated sleep stage classification

Biomedical signal processing and control, 2014-11, Vol.14, p.197-205

2014

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Determinants of self-reported sleep quality in healthy sleepers and patients

Cogent psychology, 2018-12, Vol.5 (1), p.1499197

2018

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Conceptions of sleep experience: a layman perspective

BMC research notes, 2018-07, Vol.11 (1), p.494-494, Article 494

2018

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Rationale and design of the BECA project: Smartwatch-based activation of the chain of survival for out-of-hospital cardiac arrest

Resuscitation plus, 2024-03, Vol.17, p.100576-100576, Article 100576

2024

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Validation of Heart Rate Extracted From Wrist-Based Photoplethysmography in the Perioperative Setting: Prospective Observational Study

JMIR cardio, 2021-11, Vol.5 (2), p.e27765-e27765

2021

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Effects of Between- and Within-Subject Variability on Autonomic Cardiorespiratory Activity during Sleep and Their Limitations on Sleep Staging: A Multilevel Analysis

Computational Intelligence and Neuroscience, 2015-01, Vol.2015 (2015), p.796-812

2015

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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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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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Increasing accuracy of pulse arrival time estimation in low frequency recordings

Physiological measurement, 2024-03, Vol.45 (3), p.3

2024

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The t linear mixed model: model formulation, identifiability and estimation

Communications in statistics. Simulation and computation, 2022-05, Vol.51 (5), p.2318-2342

2022

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Model-based detection and classification of premature contractions from photoplethysmography signals

Journal of the Royal Statistical Society Series C: Applied Statistics, 2023-12, Vol.72 (5), p.1235-1259

2023

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Estimating blood pressure trends and the nocturnal dip from photoplethysmography

Physiological measurement, 2019-02, Vol.40 (2), p.025006

2019

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Detection of Nocturnal Slow Wave Sleep Based on Cardiorespiratory Activity in Healthy Adults

IEEE journal of biomedical and health informatics, 2017-01, Vol.21 (1), p.123-133

2017

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Protocol of the SOMNIA project: an observational study to create a neurophysiological database for advanced clinical sleep monitoring

BMJ open, 2019-11, Vol.9 (11), p.e030996-e030996

2019

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Measuring dissimilarity between respiratory effort signals based on uniform scaling for sleep staging

Physiological measurement, 2014-12, Vol.35 (12), p.2529-2542

2014

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Spectral Boundary Adaptation on Heart Rate Variability for Sleep and Wake Classification

International journal on artificial intelligence tools, 2014-06, Vol.23 (3), p.1460002

2014

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Generating time-based label refinements to discover more precise process models

Journal of ambient intelligence and smart environments, 2019-01, Vol.11 (2), p.165-182

2019

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Erratum: Measuring dissimilarity between respiratory effort signals based on uniform scaling for sleep staging (2014 Physiol. Meas. 35 2539)

Physiological measurement, 2015-03, Vol.36 (3), p.625-625

2015

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Log-based Evaluation of Label Splits for Process Models

Procedia computer science, 2016, Vol.96, p.63-72

2016

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Mining local process models

Journal of Innovation in Digital Ecosystems, 2016-12, Vol.3 (2), p.183-196

2016

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Component-Specific Usability Testing

IEEE transactions on systems, man and cybernetics. Part A, Systems and humans, 2008-09, Vol.38 (5), p.1143-1155

2008

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Using dynamic time warping for sleep and wake discrimination

Proceedings of 2012 IEEE-EMBS International Conference on Biomedical and Health Informatics, 2012, p.886-889

2012

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Towards an empirical method of efficiency testing of system parts: A methodological study

Interacting with computers, 2007-05, Vol.19 (3), p.342-356

2007

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Time delay between cardiac and brain activity during sleep transitions

Modeling cardiorespiratory interaction during human sleep with complex networks

Analyzing respiratory effort amplitude for automated sleep stage classification

Determinants of self-reported sleep quality in healthy sleepers and patients

Conceptions of sleep experience: a layman perspective

Rationale and design of the BECA project: Smartwatch-based activation of the chain of survival for out-of-hospital cardiac arrest

Validation of Heart Rate Extracted From Wrist-Based Photoplethysmography in the Perioperative Setting: Prospective Observational Study

Effects of Between- and Within-Subject Variability on Autonomic Cardiorespiratory Activity during Sleep and Their Limitations on Sleep Staging: A Multilevel Analysis

Sleep stage classification with ECG and respiratory effort

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

Increasing accuracy of pulse arrival time estimation in low frequency recordings

The t linear mixed model: model formulation, identifiability and estimation

Model-based detection and classification of premature contractions from photoplethysmography signals

Estimating blood pressure trends and the nocturnal dip from photoplethysmography

Detection of Nocturnal Slow Wave Sleep Based on Cardiorespiratory Activity in Healthy Adults

Protocol of the SOMNIA project: an observational study to create a neurophysiological database for advanced clinical sleep monitoring

Measuring dissimilarity between respiratory effort signals based on uniform scaling for sleep staging

Spectral Boundary Adaptation on Heart Rate Variability for Sleep and Wake Classification

Generating time-based label refinements to discover more precise process models

Erratum: Measuring dissimilarity between respiratory effort signals based on uniform scaling for sleep staging (2014 Physiol. Meas. 35 2539)

Log-based Evaluation of Label Splits for Process Models

Mining local process models

Component-Specific Usability Testing

Using dynamic time warping for sleep and wake discrimination

Towards an empirical method of efficiency testing of system parts: A methodological study

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