Zobrazeno 1 - 10
of 23
pro vyhledávání: '"Helge B D Sorensen"'
Autor:
Mads Olsen, Jamie M. Zeitzer, Risa N. Richardson, Polina Davidenko, Poul J. Jennum, Helge B. D. Sorensen, Emmanuel Mignot
Publikováno v:
Olsen, M, Zeitzer, J M, Richardson, R N, Davidenko, P, Jennum, P J, Sorensen, H B D & Mignot, E 2023, ' A flexible deep learning architecture for temporal sleep stage classification using accelerometry and photoplethysmography ', I E E E Transactions on Biomedical Engineering, vol. 70, no. 1, pp. 228-237 . https://doi.org/10.1109/TBME.2022.3187945
Wrist-worn consumer sleep technologies (CST) that contain accelerometers (ACC) and photoplethysmography (PPG) are increasingly common and hold great potential to function as out-of-clinic (OOC) sleep monitoring systems. However, very few validation s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::06ee9001a03a7fe83f0018297c7e9042
https://orbit.dtu.dk/en/publications/d893032c-8d98-4e75-a021-b4b542c16b6a
https://orbit.dtu.dk/en/publications/d893032c-8d98-4e75-a021-b4b542c16b6a
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:
Andreas Brink-Kjaer, Eileen B. Leary, Haoqi Sun, M. Brandon Westover, Katie L. Stone, Paul E. Peppard, Nancy E. Lane, Peggy M. Cawthon, Susan Redline, Poul Jennum, Helge B. D. Sorensen, Emmanuel Mignot
Publikováno v:
Brink-Kjaer, A, Leary, E B, Sun, H, Westover, M B, Stone, K L, Peppard, P E, Lane, N E, Cawthon, P M, Redline, S, Jennum, P, Sorensen, H B D & Mignot, E 2022, ' Age estimation from sleep studies using deep learning predicts life expectancy ', npj Digital Medicine, vol. 5, no. 1, 103 . https://doi.org/10.1038/s41746-022-00630-9
NPJ digital medicine, vol 5, iss 1
Brink-Kjaer, A, Leary, E B, Sun, H, Westover, M B, Stone, K L, Peppard, P E, Lane, N E, Cawthon, P M, Redline, S, Jennum, P, Sorensen, H B D & Mignot, E 2022, ' Age estimation from sleep studies using deep learning predicts life expectancy ', npj Digital Medicine, vol. 5, 103 . https://doi.org/10.1038/s41746-022-00630-9
NPJ digital medicine, vol 5, iss 1
Brink-Kjaer, A, Leary, E B, Sun, H, Westover, M B, Stone, K L, Peppard, P E, Lane, N E, Cawthon, P M, Redline, S, Jennum, P, Sorensen, H B D & Mignot, E 2022, ' Age estimation from sleep studies using deep learning predicts life expectancy ', npj Digital Medicine, vol. 5, 103 . https://doi.org/10.1038/s41746-022-00630-9
Sleep disturbances increase with age and are predictors of mortality. Here, we present deep neural networks that estimate age and mortality risk through polysomnograms (PSGs). Aging was modeled using 2500 PSGs and tested in 10,699 PSGs from men and w
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::db6b8f52260065aba7078c69c9699289
https://doi.org/10.1038/s41746-022-00630-9
https://doi.org/10.1038/s41746-022-00630-9
Autor:
Soren M. Rasmussen, Jesper Molgaard, Camilla Haahr-Raunkjaer, Christian S. Meyhoff, Eske Aasvang, Helge B. D. Sorensen
Publikováno v:
Rasmussen, S M, Molgaard, J, Haahr-Raunkjaer, C, Meyhoff, C S, Aasvang, E & Sorensen, H B D 2022, Forecasting of Continuous Vital Sign Using Multivariate Auto-Regressive Models . in 44th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2022 . IEEE, Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS, vol. 2022-July, pp. 385-388, 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/EMBC48229.2022.9871010
Rasmussen, S M, Mølgaard, J, Haahr-Raunkjær, C, Meyhoff, C S, Aasvang, E & Sørensen, H B D 2022, Forecasting of Continuous Vital Sign Using Multivariate Auto-Regressive Models . in Proceedings of 44 th Annual International Conference of the IEEE Engineering in Medicine & Biology Society ., 9871010, IEEE, pp. 385-388, 44th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Glasgow, United Kingdom, 11/07/2022 . https://doi.org/10.1109/EMBC48229.2022.9871010
Rasmussen, S M, Mølgaard, J, Haahr-Raunkjær, C, Meyhoff, C S, Aasvang, E & Sørensen, H B D 2022, Forecasting of Continuous Vital Sign Using Multivariate Auto-Regressive Models . in Proceedings of 44 th Annual International Conference of the IEEE Engineering in Medicine & Biology Society ., 9871010, IEEE, pp. 385-388, 44th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Glasgow, United Kingdom, 11/07/2022 . https://doi.org/10.1109/EMBC48229.2022.9871010
This project assessed the use of multivariate auto-regressive (MAR) models to create forecasts of continuous vital signs in hospitalized patients. A total of 20 hours continuous (1/60Hz) heart rate and respiration rate from eight postoperative patien
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::95bfc63148e170c1689df480793885a3
https://curis.ku.dk/portal/da/publications/forecasting-of-continuous-vital-sign-using-multivariate-autoregressive-models(ac42185c-3028-4101-ae95-ba2aa136afd6).html
https://curis.ku.dk/portal/da/publications/forecasting-of-continuous-vital-sign-using-multivariate-autoregressive-models(ac42185c-3028-4101-ae95-ba2aa136afd6).html
Autor:
Ying Gu, Soren M. Rasmussen, Jesper Molgaard, Camilla Haahr-Raunkjar, Christian S. Meyhoff, Eske K. Aasvang, 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
Monitoring post-operative patients is important for preventing severe adverse events (SAE), which increases morbidity and mortality. Conventional bedside monitoring system has demonstrated the difficulty in long term monitoring of those patients beca
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6bbd7fe35637e8a579dc0954c11d4425
https://pubmed.ncbi.nlm.nih.gov/34891450
https://pubmed.ncbi.nlm.nih.gov/34891450
Autor:
Magnus Ruud Kjar, Andreas Brink-Kjar, Umaer Hanif, Emmanuel Mignot, Poul Jennum, 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
Sleep apnea is a widespread disorder and is defined by the complete or partial cessation of breathing. Obstructive sleep apnea (OSA) is caused by an obstruction in the upper airway while central sleep apnea (CSA) is characterized by a diminished or a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8b3b9945a48fedfa90b85a2b38696777
https://pubmed.ncbi.nlm.nih.gov/34891764
https://pubmed.ncbi.nlm.nih.gov/34891764
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
Autor:
Umaer Hanif, Eric Kezirian, Eva Kirkegaard Kiar, Emmanuel Mignot, Helge B. D. Sorensen, Poul Jennum
Publikováno v:
Hanif, U, Kezirian, E, Kiar, E K, Mignot, E, Sørensen, H B D & Jennum, P 2021, Upper Airway Classification in Sleep Endoscopy Examinations using Convolutional Recurrent Neural Networks . in Proceedings of 43 rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society . IEEE, Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference, pp. 3957-3960, 43 rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 01/11/2021 . https://doi.org/10.1109/EMBC46164.2021.9630098
Hanif, U, Kezirian, E, Kiar, E K, Mignot, E, Sorensen, H B D & Jennum, P 2021, Upper Airway Classification in Sleep Endoscopy Examinations using Convolutional Recurrent Neural Networks . in 2021 43rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2021 . IEEE, Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS, pp. 3957-3960, 43rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2021, Virtual, Online, Mexico, 01/11/2021 . https://doi.org/10.1109/EMBC46164.2021.9630098
Hanif, U, Kezirian, E, Kiar, E K, Mignot, E, Sorensen, H B D & Jennum, P 2021, Upper Airway Classification in Sleep Endoscopy Examinations using Convolutional Recurrent Neural Networks . in 2021 43rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2021 . IEEE, Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS, pp. 3957-3960, 43rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2021, Virtual, Online, Mexico, 01/11/2021 . https://doi.org/10.1109/EMBC46164.2021.9630098
Assessing the upper airway (UA) of obstructive sleep apnea patients using drug-induced sleep endoscopy (DISE) before potential surgery is standard practice in clinics to determine the location of UA collapse. According to the VOTE classification syst
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::48e436a13bdc4b50465b6d9b928446f8
https://doi.org/10.1109/embc46164.2021.9630098
https://doi.org/10.1109/embc46164.2021.9630098
Clinical sleep analysis require manual analysis of sleep patterns for correct diagnosis of sleep disorders. However, several studies have shown significant variability in manual scoring of clinically relevant discrete sleep events, such as arousals,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e55f6b591ddab1419b09c22160fcbf39
Autor:
Markus, Waser, Thomas, Benke, Peter, Dal-Bianco, Heinrich, Garn, Jochen A, Mosbacher, Gerhard, Ransmayr, Reinhold, Schmidt, Stephan, Seiler, Helge B D, Sorensen, Poul J, Jennum
Publikováno v:
Brain and Behavior
Introduction Magnetic resonance imaging (MRI) and electroencephalography (EEG) are a promising means to an objectified assessment of cognitive impairment in Alzheimer's disease (AD). Individually, however, these modalities tend to lack precision in b
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::fde593fcc58b1573f6a3bfd10812e9f6
https://pubmed.ncbi.nlm.nih.gov/30592179
https://pubmed.ncbi.nlm.nih.gov/30592179