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Rhythmusmonitoring

Autor: Moritz F. Sinner, Stefan Kääb, Aenne S von Falkenhausen, Stephanie Fichtner

Publikováno v: Herzschrittmachertherapie + Elektrophysiologie. 31:241-245

Cardiac rhythm monitoring plays an integral role in the diagnosis and treatment of various conditions. Technological developments of recent years have partly increased the ease of use and the availability of cardiac rhythm monitoring. Yet, the multit

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::353bf70228914c3633679cdbf5fdc4be
https://doi.org/10.1007/s00399-020-00706-7

Prediction of troponin I and N-terminal pro-brain natriuretic peptide levels in acute carbon monoxide poisoning using advanced electrocardiogram analysis, Alexandria, Egypt

Autor: Heba Abdel Samie Mohamed Hussein, Fatma Mohamed Magdy Badr El Dine, Ahmed Mokhtar Abdelazeem, Manal Hassan Abdel Aziz, Israa Mahmoud Sanad

Publikováno v: Environmental science and pollution research international. 28(35)

The study aimed at assessing the diagnostic ability of advanced electrocardiogram (ECG) analysis to predict the levels of NT-proBNP and Troponin I. ECG and the blood NT-proBNP and Troponin I were taken from 50 acutely carbon monoxide poisoned patient

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b93914c9d73e135fdf34d7d33aa4bf72
https://pubmed.ncbi.nlm.nih.gov/33929669

Explaining deep neural networks for knowledge discovery in electrocardiogram analysis

Autor: Torben Hansen, Michael Riegler, Niels-Henrik Holstein-Rathlou, Mary M. Maleckar, Claus Graff, Niels Grarup, Steven Alexander Hicks, Morten S. Olesen, Jonas L. Isaksen, Pål Halvorsen, Inga Strümke, Allan Linneberg, Vajira Thambawita, Jørgen K. Kanters, Christina Ellervik, Gustav Ahlberg, Jonas Ghouse

Publikováno v: Hicks, S A, Isaksen, J L, Thambawita, V, Ghouse, J, Ahlberg, G, Linneberg, A, Grarup, N, Strümke, I, Ellervik, C, Olesen, M S, Hansen, T, Graff, C, Holstein-Rathlou, N-H, Halvorsen, P, Maleckar, M M, Riegler, M A & Kanters, J K 2021, ' Explaining deep neural networks for knowledge discovery in electrocardiogram analysis ', Scientific Reports, vol. 11, no. 1, 10949 . https://doi.org/10.1101/2021.01.06.20248927, https://doi.org/10.1038/s41598-021-90285-5
Hicks, S A, Isaksen, J L, Thambawita, V, Ghouse, J, Ahlberg, G, Linneberg, A, Grarup, N, Strümke, I, Ellervik, C, Olesen, M S, Hansen, T, Graff, C, Holstein-Rathlou, N-H, Halvorsen, P, Maleckar, M M, Riegler, M A & Kanters, J K 2021, ' Explaining deep neural networks for knowledge discovery in electrocardiogram analysis ', Scientific Reports, vol. 11, no. 1, 10949 . https://doi.org/10.1038/s41598-021-90285-5
Scientific Reports
Scientific Reports, Vol 11, Iss 1, Pp 1-11 (2021)

Deep learning-based tools may annotate and interpret medical tests more quickly, consistently, and accurately than medical doctors. However, as medical doctors remain ultimately responsible for clinical decision-making, any deep learning-based predic

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0ab3d2a5b9f39edc8f1cbf261c6dfa49
https://vbn.aau.dk/da/publications/b61b5a18-2b91-4832-bcb1-e1f41a8e8454

The year in review: electrocardiogram analysis and acute coronary syndromes

Autor: Luke Chong, Bernard R. Chaitman

Publikováno v: European heart journal. Acute cardiovascular care. 9(8)

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5a536f1d013d008624a3a2ad1cb8904f
https://pubmed.ncbi.nlm.nih.gov/33300827