Erna Sif Arnardóttir

According to our database, Erna Sif Arnardóttir authored at least 12 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Anomaly detection in sleep: detecting mouth breathing in children.

Luka Biedebach, María Óskarsdóttir, Erna Sif Arnardóttir, Sigríður Sigurðardóttir, Michael Clausen, Sigurveig Þóra Sigurardóttir, Marta Serwatko, Anna Sigridur Islind

Data Min. Knowl. Discov., May, 2024

An Optimized Framework for Processing Large-scale Polysomnographic Data Incorporating Expert Human Oversight.

Benedikt Holm, Gabriel Jouan, Emil Hardarson, Sigríður Sigurðardóttir, Kenan Hoelke, Conor Murphy, Erna Sif Arnardóttir, María Óskarsdóttir, Anna Sigríður Islind

CoRR, 2024

2023

A Comparison of Signal Combinations for Deep Learning-Based Simultaneous Sleep Staging and Respiratory Event Detection.

Riku Huttunen, Timo Leppänen, Brett Duce, Erna Sif Arnardóttir, Sami Nikkonen, Sami Myllymaa, Juha Töyräs, Henri Korkalainen

IEEE Trans. Biomed. Eng., May, 2023

Generalizable Deep Learning-Based Sleep Staging Approach for Ambulatory Textile Electrode Headband Recordings.

Matias Rusanen, Riku Huttunen, Henri Korkalainen, Sami Myllymaa, Juha Töyräs, Katja Myllymaa, Sigríður Sigurðardóttir, Kristin A. Olafsdottir, Timo Leppänen, Erna Sif Arnardóttir, Samu Kainulainen

IEEE J. Biomed. Health Informatics, April, 2023

aSAGA: Automatic Sleep Analysis with Gray Areas.

Matias Rusanen, Gabriel Jouan, Riku Huttunen, Sami Nikkonen, Sigríður Sigurðardóttir, Juha Töyräs, Brett Duce, Sami Myllymaa, Erna Sif Arnardóttir, Timo Leppänen, Anna Sigridur Islind, Samu Kainulainen, Henri Korkalainen

CoRR, 2023

Two Sides of the Same Pillow: Unfolding the Relationship between Objective and Subjective Sleep Quality with Unsupervised Learning.

Luka Biedebach, María Óskarsdóttir, Erna Sif Arnardóttir, Anna Sigríður Islind

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.

Benedikt Thordarson, Anna Sigridur Islind, Erna Sif Arnardóttir, Maria Óskarsdóttir

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.

Luka Biedebach, Matias Rusanen, Timo Leppänen, Anna Sigridur Islind, Benedikt Thordarson, Erna Sif Arnardóttir, Maria Óskarsdóttir, Henri Korkalainen, Sami Nikkonen, Samu Kainulainen, Juha Töyräs, Sami Myllymaa

Proceedings of the 56th Hawaii International Conference on System Sciences, 2023

2022

Toward Sleep Study Automation: Detection Evaluation of Respiratory-Related Events.

Michal Borsky, Marta Serwatko, Erna Sif Arnardóttir, Jacky Mallett

IEEE J. Biomed. Health Informatics, 2022

Towards a Digital Sleep Diary Standard.

Lisa Schmitz, Bjarki Freyr Sveinbjarnarson, Guðni Nathan Gunnarsson, Ólafur Andri Davíðsson, Þór Breki Davíðsson, Erna Sif Arnardóttir, María Óskarsdóttir, Anna Sigríður Islind

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.

Matias Rusanen, Samu Kainulainen, Henri Korkalainen, Laura Kalevo, Katja Myllymaa, Timo Leppänen, Juha Töyräs, Erna Sif Arnardóttir, Sami Myllymaa

IEEE Access, 2021

Comparison of EEG Signal Characteristics Between Polysomnography and Self Applied Somnography Setup in a Pediatric Cohort.

Samu Kainulainen, Henri Korkalainen, Sigríður Sigurðardóttir, Sami Myllymaa, Marta Serwatko, Sigurveig Þóra Sigurardóttir, Michael Clausen, Timo Leppänen, Erna Sif Arnardóttir

IEEE Access, 2021