At-home sleep monitoring using generic ear-EEG

Autor: Yousef R. Tabar, Kaare B. Mikkelsen, Nelly Shenton, Simon L. Kappel, Astrid R. Bertelsen, Reza Nikbakht, Hans O. Toft, Chris H. Henriksen, Martin C. Hemmsen, Mike L. Rank, Marit Otto, Preben Kidmose

Publikováno v: Frontiers in Neuroscience, Vol 17 (2023)

IntroductionA device comprising two generic earpieces with embedded dry electrodes for ear-centered electroencephalography (ear-EEG) was developed. The objective was to provide ear-EEG based sleep monitoring to a wide range of the population without

Externí odkaz: https://doaj.org/article/b6488db70fdc43f2958d790023e9a0f6

EEGs Vary Less Between Lab and Home Locations Than They Do Between People

Autor: Kaare B. Mikkelsen, Yousef R. Tabar, Christian B. Christensen, Preben Kidmose

Publikováno v: Frontiers in Computational Neuroscience, Vol 15 (2021)

Given the rapid development of light weight EEG devices which we have witnessed the past decade, it is reasonable to ask to which extent neuroscience could now be taken outside the lab. In this study, we have designed an EEG paradigm well suited for

Externí odkaz: https://doaj.org/article/e15a5e1c47d4423494643261225a25b0

Sleep EEG Derived From Behind-the-Ear Electrodes (cEEGrid) Compared to Standard Polysomnography: A Proof of Concept Study

Autor: Annette Sterr, James K. Ebajemito, Kaare B. Mikkelsen, Maria A. Bonmati-Carrion, Nayantara Santhi, Ciro della Monica, Lucinda Grainger, Giuseppe Atzori, Victoria Revell, Stefan Debener, Derk-Jan Dijk, Maarten DeVos

Publikováno v: Frontiers in Human Neuroscience, Vol 12 (2018)

Electroencephalography (EEG) recordings represent a vital component of the assessment of sleep physiology, but the methodology presently used is costly, intrusive to participants, and laborious in application. There is a recognized need to develop mo

Externí odkaz: https://doaj.org/article/3e4129093b854c688bb738b572a2879c

Self-applied ear-EEG for sleep monitoring at home

Autor: Kaare B. Mikkelsen, Yousef R. Tabar, Hans O. Toft, Martin C. Hemmsen, Mike L. Rank, Preben Kidmose

Publikováno v: Mikkelsen, K B, Tabar, Y R, Toft, H O, Hemmsen, M C, Rank, M L & Kidmose, P 2022, Self-applied ear-EEG for sleep monitoring at home . in 44th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2022 . IEEE, pp. 3135-3138, 44th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2022, Glasgow, United Kingdom, 11/07/2022 . https://doi.org/10.1109/EMBC48229.2022.9871076

High quality sleep monitoring is done using EEG electrodes placed on the skin. This has traditionally required assistance by an expert when the equipment needed to mounted. However, this creates a limitation in how cheap and easy it can be to record

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::847e4cc4674effc00dae17318a552476
https://doi.org/10.1109/embc48229.2022.9871076

Investigation of low dimensional feature spaces for automatic sleep staging

Autor: Mike Lind Rank, Martin Christian Hemmsen, Preben Kidmose, Kaare B. Mikkelsen, Yousef Rezaei Tabar

Publikováno v: Tabar, Y R, Mikkelsen, K B, Rank, M L, Hemmsen, M C & Kidmose, P 2021, ' Investigation of low dimensional feature spaces for automatic sleep staging ', Computer Methods and Programs in Biomedicine, vol. 205, 106091 . https://doi.org/10.1016/j.cmpb.2021.106091

Background : Automatic sleep stage classification depends crucially on the selection of a good set of descriptive features. However, the selection of a feature set with an appropriate low computational cost without compromising classification perform

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9e9a222b75a52e5d762b50301ee47b0f
https://pure.au.dk/portal/da/publications/investigation-of-low-dimensional-feature-spaces-for-automatic-sleep-staging(01d36ed3-7ed6-4740-8810-bf8a2d1f8454).html