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Documentation of epileptic seizures plays an essential role in planning medical therapy. Solutions for automated epileptic seizure detection can help improve the current problem of incomplete and erroneous manual documentation of epileptic seizures.
Externí odkaz:
http://arxiv.org/abs/2107.05894
Autor:
Henze Jasmin, Fuentealba Patricio, Salvi Rutuja, Sahare Natasha, Bisgin Pinar, Burmann Anja, Illanes Alfredo, Friebe Michael
Publikováno v:
Current Directions in Biomedical Engineering, Vol 8, Iss 2, Pp 540-543 (2022)
In previous work, we demonstrated the potential of blood flow sounds for biometric authentication acquired by a custom-built auscultation device. For this purpose, we calculated the frequency spectrum for each cardiac cycle represented within the mea
Externí odkaz:
https://doaj.org/article/8d87172970664496a5ce6c1343ffe335
Autor:
Bisgin Pinar, Strube Tom, Henze Jasmin, Ljungvall Ingrid, Häggström Jens, Wess Gerhard, Stadler Julia, Schummer Christoph, Meister Sven, Howar Falk Maria
Publikováno v:
Current Directions in Biomedical Engineering, Vol 8, Iss 2, Pp 765-768 (2022)
Auscultation methods enable non-invasive diagnosis of diseases, e.g. of the heart, based on heartbeat sounds. Regular, early examinations using machine learning techniques could help to detect diseases at an early stage to prevent serious health cond
Externí odkaz:
https://doaj.org/article/b399aa75782b481b90b245cd042d40c9
Akademický článek
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Publikováno v:
Nervenheilkunde; October 2022, Vol. 41 Issue: 10 p658-665, 8p