Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Mahtab Mirmomeni"'
Autor:
Subhrajit Roy, Isabell Kiral, Mahtab Mirmomeni, Todd Mummert, Alan Braz, Jason Tsay, Jianbin Tang, Umar Asif, Thomas Schaffter, Mehmet Eren Ahsen, Toshiya Iwamori, Hiroki Yanagisawa, Hasan Poonawala, Piyush Madan, Yong Qin, Joseph Picone, Iyad Obeid, Bruno De Assis Marques, Stefan Maetschke, Rania Khalaf, Michal Rosen-Zvi, Gustavo Stolovitzky, Stefan Harrer
Publikováno v:
EBioMedicine, Vol 66, Iss , Pp 103275- (2021)
Background: Assistive automatic seizure detection can empower human annotators to shorten patient monitoring data review times. We present a proof-of-concept for a seizure detection system that is sensitive, automated, patient-specific, and tunable t
Externí odkaz:
https://doaj.org/article/a63bf3e7593244738d97a0a1e3a48f62
Publikováno v:
IJCNN
In time series data, consecutively repeated patterns occur in many applications, including activity recognition from wearable sensors. Repeating patterns may vary over time and present in various shapes and sizes, which makes their detection a challe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3c1a9bc87ae59d71f099a1fd17ee6d71
https://doi.org/10.1109/ijcnn52387.2021.9534157
https://doi.org/10.1109/ijcnn52387.2021.9534157
Autor:
Umar Asif, Thomas Schaffter, Rania Khalaf, Joseph Picone, Alan Braz, Mahtab Mirmomeni, Jianbin Tang, Toshiya Iwamori, Bruno De Assis Marques, Michal Rosen-Zvi, Subhrajit Roy, Stefan Harrer, Hasan Poonawala, Yong Qin, Iyad Obeid, Piyush Madan, Mehmet Eren Ahsen, Jason Tsay, Stefan Maetschke, Isabell Kiral, Hiroki Yanagisawa, Todd W. Mummert, Gustavo Stolovitzky
Publikováno v:
EBioMedicine, Vol 66, Iss, Pp 103275-(2021)
EBioMedicine
EBioMedicine
Background Assistive automatic seizure detection can empower human annotators to shorten patient monitoring data review times. We present a proof-of-concept for a seizure detection system that is sensitive, automated, patient-specific, and tunable to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f90cd1a381d5a0491f3119cbb8684fb2
http://www.sciencedirect.com/science/article/pii/S2352396421000682
http://www.sciencedirect.com/science/article/pii/S2352396421000682
Autor:
Umer Akbar, Ali Akbari, Parastoo Alinia, Francesco Amato, Sara Amendola, Ertan Balaban, Christopher Beach, Mattia Bertschi, Fabian Braun, Laura Caldani, Francesca Camera, Alexander J. Casson, Gert Cauwenberghs, Gozde Cay, Yu M. Chi, Nicholas Constant, Marco Di Rienzo, Xiaorong Ding, Rassoul Diouf, Muhammad Farooq, Timothy Fazio, Damien Ferrario, Juan Manuel Fontana, Todd J. Freeborn, Elsa Genzoni, Hassan Ghasemzadeh, Maysam Ghovanloo, Sohmyung Ha, Stefan Harrer, Roozbeh Jafari, Sundaresan Jayaraman, Yuqi Jiang, Panagiotis Kassanos, Meysam Keshavarz, Chul Kim, Amanda Koh, Ilkka Korhonen, Yuichi Kurita, Tomohiro Kuroda, Mathieu Lemay, Steffen Leonhardt, Markus Lüken, Ningqi Luo, Kunal Mankodiya, Andre L. Mansano, Gaetano Marrocco, Gustavo C. Martins, Atsuji Masuda, Patrick P. Mercier, Carolina Miozzi, Mahtab Mirmomeni, Jens Mühlsteff, Simone Nappi, Cecilia Occhiuzzi, Rita Paradiso, Jakub Parak, Sungmee Park, Nicolai Petkov, Sara Piccirillo, Carmen C.Y. Poon, Martin Proença, Petia Radeva, Vignesh Ravichandran, Philippe Renevey, Bruno Gil Rosa, Edward Sazonov, Wouter A. Serdijn, Josep Sola, Mark Stoopman, Hideya Takahashi, Estefania Talavera, Mark Ulbrich, Vishesh Vikas, Stefan von Cavallar, Hui Wang, Guang-Zhong Yang, Yuan Ting Zhang, Yali Zheng
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1fbbaee43814e3c1249901870bb49472
https://doi.org/10.1016/b978-0-12-819246-7.09990-3
https://doi.org/10.1016/b978-0-12-819246-7.09990-3
Wearable sensors are being used in clinical settings to monitor the condition of patients as well as in recreational environments for routine health monitoring. Some of the most advanced clinical applications include monitoring patients with Parkinso
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f9b0144eab20725c1f8940400d786224
https://doi.org/10.1016/b978-0-12-819246-7.00012-7
https://doi.org/10.1016/b978-0-12-819246-7.00012-7
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783319973098
PRICAI
PRICAI
A key application of wearable sensors is remote patient monitoring, which facilitates clinicians to observe patients non-invasively, by examining the time series of sensor readings. For analysis of such time series, a recently proposed technique is M
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::33c756fa00a54a31afc85febe0cdb4ca
https://doi.org/10.1007/978-3-319-97310-4_22
https://doi.org/10.1007/978-3-319-97310-4_22