Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Kaare Mikkelsen"'
Autor:
Troels Wesenberg Kjaer, Mike Lind Rank, Martin Christian Hemmsen, Preben Kidmose, Kaare Mikkelsen
Publikováno v:
PLOS Digital Health, Vol 1, Iss 10, p e0000134 (2022)
While polysomnography (PSG) is the gold standard to quantify sleep, modern technology allows for new alternatives. PSG is obtrusive, affects the sleep it is set out to measure and requires technical assistance for mounting. A number of less obtrusive
Externí odkaz:
https://doaj.org/article/fb86564e811e4cd493d8a06dc199dcc7
Publikováno v:
Phan, H, Mikkelsen, K, Chen, O Y, Koch, P, Mertins, A & De Vos, M 2022, ' SleepTransformer : Automatic Sleep Staging With Interpretability and Uncertainty Quantification ', IEEE Transactions on Biomedical Engineering, vol. 69, no. 8, pp. 2456-2467 . https://doi.org/10.1109/TBME.2022.3147187
Background: Black-box skepticism is one of the main hindrances impeding deep-learning-based automatic sleep scoring from being used in clinical environments. Methods: Towards interpretability, this work proposes a sequence-to-sequence sleep-staging m
Autor:
Sofie Drevsholt Jørgensen, Preben Kidmose, Kaare Mikkelsen, Maxine Blech, Martin Christian Hemmsen, Mike Lind Rank, Troels Wesenberg Kjaer
Publikováno v:
Jørgensen, S D, Kidmose, P, Mikkelsen, K, Blech, M, Hemmsen, M C, Rank, M L & Kjaer, T W 2023, ' Long-term ear-EEG monitoring of sleep – A case study during shift work ', Journal of Sleep Research . https://doi.org/10.1111/jsr.13853
The interest in sleep as a potential clinical biomarker is growing, but the standard method of sleep assessment, polysomnography, is expensive, time consuming, and requires a lot of expert assistance for both set-up and interpretation. To make sleep
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::debde1faea041e322e0834b34eb3c7aa
https://pure.au.dk/portal/da/publications/longterm-eareeg-monitoring-of-sleep--a-case-study-during-shift-work(54695839-24fe-4991-9417-cb2921c8c057).html
https://pure.au.dk/portal/da/publications/longterm-eareeg-monitoring-of-sleep--a-case-study-during-shift-work(54695839-24fe-4991-9417-cb2921c8c057).html
Publikováno v:
Borup, K, Kidmose, P, Phan, H & Mikkelsen, K 2023, ' Automatic sleep scoring using patient-specific ensemble models and knowledge distillation for ear-EEG data ', Biomedical Signal Processing and Control, vol. 81, 104496 . https://doi.org/10.1016/j.bspc.2022.104496
Human sleep can be described as a series of transitions between distinct states. This makes automatic sleep analysis (scoring) suitable for an automatic implementation using machine learning. However, the task becomes harder when data is sampled usin
Autor:
Huy Phan, Kaare Mikkelsen
Publikováno v:
Phan, H & Mikkelsen, K 2022, ' Automatic sleep staging of EEG signals : recent development, challenges, and future directions ', Physiological measurement, vol. 43, no. 4, 04TR01 . https://doi.org/10.1088/1361-6579/ac6049
Modern deep learning holds a great potential to transform clinical practice on human sleep. Teaching a machine to carry out routine tasks would be a tremendous reduction in workload for clinicians. Sleep staging, a fundamental step in sleep practice,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::22cf7ef5704823b8488d9c5421282476
http://arxiv.org/abs/2111.08446
http://arxiv.org/abs/2111.08446
Publikováno v:
Mikkelsen, K, Christensen, C B & Kidmose, P 2016, ' Identifying epileptic spikes using ear-EEG ', NeuroScience day-brain matters!, Aarhus C, Denmark, 04/05/2016-04/05/2016 .
Aarhus University
Aarhus University
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::3ee74a20f062d89f2437a3699dd71766
https://pure.au.dk/ws/files/99996664/Poster_neuroscience_day_2016.pdf
https://pure.au.dk/ws/files/99996664/Poster_neuroscience_day_2016.pdf