Erna Sif Arnardóttir
Orcid: 0000-0003-0877-3529
According to our database1,
Erna Sif Arnardóttir
authored at least 16 papers
between 2021 and 2025.
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Bibliography
2025
Time-frequency ridge characterisation of sleep stage transitions: Towards improving electroencephalogram annotations using an advanced visualisation technique.
Expert Syst. Appl., 2025
2024
Data Min. Knowl. Discov., May, 2024
An optimized framework for processing multicentric polysomnographic data incorporating expert human oversight.
Frontiers Neuroinformatics, 2024
An algorithmic approach to identification of gray areas: Analysis of sleep scoring expert ensemble non agreement areas using a multinomial mixture model.
Eur. J. Oper. Res., 2024
An Optimized Framework for Processing Large-scale Polysomnographic Data Incorporating Expert Human Oversight.
CoRR, 2024
Proceedings of the Australasian Conference on Information Systems, 2024
2023
A Comparison of Signal Combinations for Deep Learning-Based Simultaneous Sleep Staging and Respiratory Event Detection.
IEEE Trans. Biomed. Eng., May, 2023
Generalizable Deep Learning-Based Sleep Staging Approach for Ambulatory Textile Electrode Headband Recordings.
IEEE J. Biomed. Health Informatics, April, 2023
Two Sides of the Same Pillow: Unfolding the Relationship between Objective and Subjective Sleep Quality with Unsupervised Learning.
Proceedings of the 44th International Conference on Information Systems, 2023
Exploration of Sleep Events in the Latent Space of Variational Autoencoders on a Breath-by-Breath Basis.
Proceedings of the 56th Hawaii International Conference on System Sciences, 2023
Towards a Deeper Understanding of Sleep Stages through their Representation in the Latent Space of Variational Autoencoders.
Proceedings of the 56th Hawaii International Conference on System Sciences, 2023
2022
IEEE J. Biomed. Health Informatics, 2022
Proceedings of the 28th Americas Conference on Information Systems, 2022
2021
Technical Performance of Textile-Based Dry Forehead Electrodes Compared With Medical-Grade Overnight Home Sleep Recordings.
IEEE Access, 2021
Comparison of EEG Signal Characteristics Between Polysomnography and Self Applied Somnography Setup in a Pediatric Cohort.
IEEE Access, 2021