Zobrazeno 1 - 10
of 77
pro vyhledávání: '"Armin Nikpour"'
Autor:
Anastasiia Gusach, Yang Lee, Armin Nikpour Khoshgrudi, Elizaveta Mukhaleva, Ning Ma, Eline J. Koers, Qingchao Chen, Patricia C. Edwards, Fanglu Huang, Jonathan Kim, Filippo Mancia, Dmitry B. Veprintsev, Nagarajan Vaidehi, Simone N. Weyand, Christopher G. Tate
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-12 (2024)
Abstract There are two main families of G protein-coupled receptors that detect odours in humans, the odorant receptors (ORs) and the trace amine-associated receptors (TAARs). Their amino acid sequences are distinct, with the TAARs being most similar
Externí odkaz:
https://doaj.org/article/652fff5f256d4ddc952071804619e0c2
Autor:
Milena Gandy, Honor Coleman, Henry Cutler, Michael P. Jones, Eyal Karin, Patrick Kwan, Armin Nikpour, Kaitlyn Parratt, Genevieve Rayner, Nickolai Titov, Lisa Todd, Elizabeth Seil, Toby Winton‐Brown, Wendy Wu, Blake F. Dear
Publikováno v:
Epilepsia Open, Vol 9, Iss 2, Pp 808-818 (2024)
Abstract Objective Mental health complaints are prevalent among people with epilepsy, yet there are major barriers that prevent access to psychological care, including high out‐of‐pocket costs and a lack of accessible specialized services. The pu
Externí odkaz:
https://doaj.org/article/d3670cc4f74046f6a465ca58701efca4
Autor:
Zhaojing Huang, Wing Hang Leung, Leping Yu, Luis Fernando Herbozo Contreras, Ziyao Zhang, Nhan Duy Truong, Armin Nikpour, Omid Kavehei
Publikováno v:
APL Machine Learning, Vol 2, Iss 2, Pp 026109-026109-12 (2024)
This work introduces on-device edge learning for cardiac abnormality detection by merging spiking 2D Convolutional Long-Short-Term Memory (ConvLSTM2D) with a bio-inspired shallow neural network, referred to as Closed-form Continuous-time (CfC), to fo
Externí odkaz:
https://doaj.org/article/afeeef4045fb4c3ba36791a5af60a280
Biological plausible algorithm for seizure detection: Toward AI-enabled electroceuticals at the edge
Publikováno v:
APL Machine Learning, Vol 2, Iss 2, Pp 026114-026114-11 (2024)
Nearly 1% of people worldwide suffer from epilepsy. Electroencephalogram (EEG)-based diagnostics and monitoring tools, such as scalp EEG, subscalp EEG, stereo EEG, or sub/epi-dural EEG recordings [also known as electrocorticography (ECoG)], are widel
Externí odkaz:
https://doaj.org/article/b925aaf7b2d84349b1296142e8cc2523
Autor:
Zhaojing Huang, Wing Hang Leung, Jiashuo Cui, Leping Yu, Luis Fernando Herbozo Contreras, Nhan Duy Truong, Armin Nikpour, Omid Kavehei
Publikováno v:
APL Machine Learning, Vol 2, Iss 2, Pp 026112-026112-13 (2024)
This manuscript introduces a novel method for cardiac abnormality detection by combining the Diagonal State Space Sequence (S4D) model with the Closed-form Continuous-time neural network (CfC), yielding a highly effective, robust, generalizable, and
Externí odkaz:
https://doaj.org/article/c1d8730722234b43bf57a2023ca661ef
Publikováno v:
Case Reports in Neurological Medicine, Vol 2024 (2024)
Background. Ictal arrhythmia is a rare condition that causes arrhythmic manifestations induced by epileptic seizures, including asystole or bradycardia. Ictal asystole (IA) is a very rare condition found in patients undergoing video-encephalography (
Externí odkaz:
https://doaj.org/article/42680f5580de4d398ae01c06286e8ac8
Autor:
Armin Nikpour, Sumika Ouchida, Howard Faulkner, Xin Zhang, Nicole Reid, Maricar Senturias, Greg Fairbrother, Eleanor Stephens
Publikováno v:
Health Open Research, Vol 5 (2023)
Background: Ambulatory electroencephalography (AEEG) recording is an essential aid for detecting interictal discharges and providing a clinical diagnosis. This study aimed to describe long-term outcomes among a cohort of patients who yielded negative
Externí odkaz:
https://doaj.org/article/b51fb3179afc4605bd41f480924951f2
Publikováno v:
Royal Society Open Science, Vol 10, Iss 5 (2023)
Epilepsy is a prevalent condition characterized by recurrent, unpredictable seizures. Monitoring with surface electroencephalography (EEG) is the gold standard for diagnosing epilepsy, but a time-consuming, uncomfortable and sometimes ineffective pro
Externí odkaz:
https://doaj.org/article/0f816f10ef1f45f3adaec8cdf6857897
Autor:
Judith Trotman, Peter Presgrave, Duncan P. Carradice, Douglas Stuart Lenton, Maher K. Gandhi, Tara Cochrane, Xavier Badoux, Julia Carlson, Gloria Nkhoma, Belinda Butcher, Armin Nikpour, Michael Fulham, Anna M. Johnston
Publikováno v:
HemaSphere, Vol 7, Iss 3, p e836 (2023)
Externí odkaz:
https://doaj.org/article/31be363087124c0698289ee481ce4013
Autor:
Christina Maher, Arkiev D'Souza, Rui Zeng, Michael Barnett, Omid Kavehei, Armin Nikpour, Chenyu Wang
Publikováno v:
Frontiers in Neurology, Vol 13 (2022)
We examined the white matter of patients with and without focal to bilateral tonic-clonic seizures (FBTCS), and control participants. A neural network based tract segmentation model (Tractseg) was used to isolate tract-specific, track-weighted tensor
Externí odkaz:
https://doaj.org/article/0213be1010eb4101aac66a365e1bd0cf