Zobrazeno 1 - 10
of 79
pro vyhledávání: '"Iyad Obeid"'
Publikováno v:
Journal of Structural Biology: X, Vol 10, Iss , Pp 100111- (2024)
Understanding the composition of bone tissue at the submicron level is crucial to elucidate factors contributing to bone disease and fragility. Here, we introduce a novel approach utilizing optical photothermal infrared (O-PTIR) spectroscopy and imag
Externí odkaz:
https://doaj.org/article/784495632d4b49c3818ecd3bf6ae41c3
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
Autor:
Meysam Golmohammadi, Amir Hossein Harati Nejad Torbati, Silvia Lopez de Diego, Iyad Obeid, Joseph Picone
Publikováno v:
Frontiers in Human Neuroscience, Vol 13 (2019)
Brain monitoring combined with automatic analysis of EEGs provides a clinical decision support tool that can reduce time to diagnosis and assist clinicians in real-time monitoring applications (e.g., neurological intensive care units). Clinicians hav
Externí odkaz:
https://doaj.org/article/e0404649d1fa4d6698b57330711c0469
Autor:
Vinit Shah, Eva von Weltin, Silvia Lopez, James Riley McHugh, Lillian Veloso, Meysam Golmohammadi, Iyad Obeid, Joseph Picone
Publikováno v:
Frontiers in Neuroinformatics, Vol 12 (2018)
Externí odkaz:
https://doaj.org/article/d2ad575dea1b4bf3aa2cd6755eeb0e30
Autor:
Nabila Shawki, M. Golam Shadin, Tarek Elseify, Luke Jakielaszek, Tunde Farkas, Yuri Persidsky, Nirag Jhala, Iyad Obeid, Joseph Picone
Publikováno v:
Signal Processing in Medicine and Biology ISBN: 9783030368432
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::52be138425d292e476fd308e03ca4bad
https://doi.org/10.1007/978-3-030-36844-9_9
https://doi.org/10.1007/978-3-030-36844-9_9
Publikováno v:
Journal of Applied Biomechanics. 35:32-36
The balance error scoring system (BESS) is a human-scored, field-based balance test used in cases of suspected concussion. Recently developed instrumented alternatives to human scoring carry substantial advantages over traditional testing, but thus f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::26af554a0388cb5400ac3b216c7107e2
https://doi.org/10.1123/jab.2018-0056
https://doi.org/10.1123/jab.2018-0056
Autor:
Christian R. Ward, Iyad Obeid
Publikováno v:
Journal of Neuroscience Methods. 311:338-350
Background Finding an optimal EEG subject verification algorithm is a long standing goal within the EEG community. For every advancement made, another feature set, classifier, or dataset is often introduced; tracking improvements in classification wi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::da4a269a821f188ae9c3f572f514c15e
https://doi.org/10.1016/j.jneumeth.2018.09.015
https://doi.org/10.1016/j.jneumeth.2018.09.015
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
Publikováno v:
Biomedical Signal Processing ISBN: 9783030674939
The evaluation of machine learning algorithms in biomedical fields for applications involving sequential data lacks both rigor and standardization. Common quantitative scalar evaluation metrics such as sensitivity and specificity can often be mislead
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1123e467e0c705a07f6c67013ec6d426
https://doi.org/10.1007/978-3-030-67494-6_8
https://doi.org/10.1007/978-3-030-67494-6_8
Publikováno v:
2020 IEEE Signal Processing in Medicine and Biology Symposium (SPMB).
The Temple University Hospital Seizure Detection Corpus (TUSZ) [1] has been in distribution since April 2017. It is a subset of the TUH EEG Corpus (TUEG) [2] and the most frequently requested corpus from our 3,000+ subscribers. It was recently featur
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3623f690a84e8361f6c3d4b8f0bd0f56
https://doi.org/10.1109/spmb50085.2020.9353635
https://doi.org/10.1109/spmb50085.2020.9353635