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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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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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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.1-17

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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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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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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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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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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25.4: Effect of MPEG-2 Compression Parameters on Perceived Video Image Quality

SID International Symposium Digest of technical papers, 2006-06, Vol.37 (1), p.1234-1237

2006

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Heuristic approaches for generating Local Process Models through log projections

2016 IEEE Symposium Series on Computational Intelligence (SSCI), 2016, p.1-8

2016

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Event Abstraction for Process Mining Using Supervised Learning Techniques

Proceedings of SAI Intelligent Systems Conference (IntelliSys) 2016, 2018, Vol.15, p.251-269

2018

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Empirical Usability Testing in a Component-Based Environment: Improving Test Efficiency with Component-Specific Usability Measures

Engineering Human Computer Interaction and Interactive Systems, p.20-37

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Layered feedback in user-system interaction

Haakma, Reinder

1998

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Empirical usability testing in a component-based environment : Improving test efficiency with component-specific usability measures. Discussion

Lecture notes in computer science, 2005, p.20-37

2005

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Improved efficiency through I- and E-feedback: a trackball with contextual force feedback

International journal of human-computer studies, 1994-12, Vol.41 (6), p.949-974

1994

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Contextual motor feedback in cursor control

Posters and Short Talks of the 1992 SIGCHI Conference on Human Factors in Computing Systems, 1992, p.61-61

Haakma, Reinder

1992

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Usability Testing of Interaction Components: Taking the Message Exchange as a Measure of Usability

Computer-Aided Design of User Interfaces IV, p.159-170

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LocalProcessModelDiscovery: Bringing Petri Nets to the Pattern Mining World

Application and Theory of Petri Nets and Concurrency, p.374-384

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Modeling cardiorespiratory interaction during human sleep with complex networks

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

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

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

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

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

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

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)

Mining local process models

Component-Specific Usability Testing

Using dynamic time warping for sleep and wake discrimination

25.4: Effect of MPEG-2 Compression Parameters on Perceived Video Image Quality

Heuristic approaches for generating Local Process Models through log projections

Event Abstraction for Process Mining Using Supervised Learning Techniques

Empirical Usability Testing in a Component-Based Environment: Improving Test Efficiency with Component-Specific Usability Measures

Layered feedback in user-system interaction

Empirical usability testing in a component-based environment : Improving test efficiency with component-specific usability measures. Discussion

Improved efficiency through I- and E-feedback: a trackball with contextual force feedback

Contextual motor feedback in cursor control

Usability Testing of Interaction Components: Taking the Message Exchange as a Measure of Usability

LocalProcessModelDiscovery: Bringing Petri Nets to the Pattern Mining World

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