Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Asbjoern W. Helge"'
Publikováno v:
Frontiers in Neurology, Vol 12 (2021)
Background: Epileptic seizures are caused by abnormal brain wave hypersynchronization leading to a range of signs and symptoms. Tools for detecting seizures in everyday life typically focus on cardiac rhythm, electrodermal activity, or movement (EMG,
Externí odkaz:
https://doaj.org/article/8e71dc0845d84331a730113a8c4758de
Autor:
Asbjoern W. Helge, Umaer Hanif, Villads H. Joergensen, Poul Jennum, Emmanuel Mignot, Helge B. D. Sorensen
Publikováno v:
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference. 2022
Annotation of sleep disordered breathing, including Cheyne-Stokes Breathing (CSB), is an expensive and time-consuming process for the clinician. To solve the problem, this paper presents a deep learning-based algorithm for automatic sample-wise detec
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::628087044dccfe5b7d8c65b42b7c2a0a
https://pubmed.ncbi.nlm.nih.gov/36086293
https://pubmed.ncbi.nlm.nih.gov/36086293
Autor:
Villads Hulgaard Joergensen, Umaer Hanif, Poul Jennum, Emmanuel Mignot, Asbjoern W. Helge, Helge B. D. Sorensen
Publikováno v:
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference. 2021
Annotation of polysomnography (PSG) recordings for diagnosis of obstructive sleep apnea (OSA) is a standard procedure but an expensive and time-consuming process for clinicians. To aid clinicians in this process we present a data driven unsupervised
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::07646227ed0854f2b0cc103127fd706d
https://pubmed.ncbi.nlm.nih.gov/34891263
https://pubmed.ncbi.nlm.nih.gov/34891263