Zobrazeno 1 - 10
of 84
pro vyhledávání: '"Ruobing Qian"'
Publikováno v:
IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol 31, Pp 1847-1856 (2023)
The epileptic seizure prediction (ESP) method aims to timely forecast the occurrence of seizures, which is crucial to improving patients’ quality of life. Many deep learning-based methods have been developed to tackle this issue and achieve signifi
Externí odkaz:
https://doaj.org/article/a6b3ebf2629141b083f77e4cc7239ac3
Publikováno v:
IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol 31, Pp 180-191 (2023)
Deep neural networks (DNNs) have the powerful ability to automatically extract efficient features, which makes them prominent in electroencephalogram (EEG) based seizure prediction tasks. However, current research in this field cannot take the model
Externí odkaz:
https://doaj.org/article/371d2d804de5498cb799205e66f832ce
Autor:
Ruobing Qian, Kevin C. Zhou, Jingkai Zhang, Christian Viehland, Al-Hafeez Dhalla, Joseph A. Izatt
Publikováno v:
Nature Communications, Vol 13, Iss 1, Pp 1-10 (2022)
Frequency-modulated continuous wave LiDAR has suffered from limited 3D frame rates. Here, the authors combine a grating for beam steering with a compressed time-frequency analysis for depth retrieval, and demonstrate real-time densely sampled 3D imag
Externí odkaz:
https://doaj.org/article/45a50c811b5145348860dc16d3a44f8e
Publikováno v:
Virtual Reality & Intelligent Hardware, Vol 4, Iss 1, Pp 1-21 (2022)
Background: Electroencephalography (EEG) has gained popularity in various types of biomedical applications as a signal source that can be easily acquired and conveniently analyzed. However, owing to a complex scalp electrical environment, EEG is ofte
Externí odkaz:
https://doaj.org/article/9784cae7463b4355873923c43474e8cf
Publikováno v:
IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol 30, Pp 1536-1547 (2022)
Deep learning (DL) methods have been widely used in the field of seizure prediction from electroencephalogram (EEG) in recent years. However, DL methods usually have numerous multiplication operations resulting in high computational complexity. In ad
Externí odkaz:
https://doaj.org/article/c329d50351db48a698230d2cf21ba4b9
Autor:
Yikai Gao, Xun Chen, Aiping Liu, Deng Liang, Le Wu, Ruobing Qian, Hongtao Xie, Yongdong Zhang
Publikováno v:
IEEE Journal of Translational Engineering in Health and Medicine, Vol 10, Pp 1-9 (2022)
Objective: Epileptic seizure prediction based on scalp electroencephalogram (EEG) is of great significance for improving the quality of life of patients with epilepsy. In recent years, a number of studies based on deep learning methods have been prop
Externí odkaz:
https://doaj.org/article/f36a27488082434ca9f1a071ffe7797a
Autor:
Shiqi Xu, Xi Yang, Wenhui Liu, Joakim Jönsson, Ruobing Qian, Pavan Chandra Konda, Kevin C. Zhou, Lucas Kreiß, Haoqian Wang, Qionghai Dai, Edouard Berrocal, Roarke Horstmeyer
Publikováno v:
Advanced Science, Vol 9, Iss 24, Pp n/a-n/a (2022)
Abstract Noninvasive optical imaging through dynamic scattering media has numerous important biomedical applications but still remains a challenging task. While standard diffuse imaging methods measure optical absorption or fluorescent emission, it i
Externí odkaz:
https://doaj.org/article/08006629a3d0436a90325ac698ff5213
Autor:
Yarui Wei, Xiuyuan Liang, Xiaotao Guo, Xiaoxiao Wang, Yunyi Qi, Rizwan Ali, Ming Wu, Ruobing Qian, Ming Wang, Bensheng Qiu, Huawei Li, Xianming Fu, Lin Chen
Publikováno v:
Frontiers in Neuroscience, Vol 16 (2022)
Labor division of the two brain hemispheres refers to the dominant processing of input information on one side of the brain. At an early stage, or a preattentive stage, the right brain hemisphere is shown to dominate the auditory processing of tones,
Externí odkaz:
https://doaj.org/article/3a8bdb9d395541808e54376673bb5ee1
Autor:
Shiqi Xu, Wenhui Liu, Xi Yang, Joakim Jönsson, Ruobing Qian, Paul McKee, Kanghyun Kim, Pavan Chandra Konda, Kevin C. Zhou, Lucas Kreiß, Haoqian Wang, Edouard Berrocal, Scott A. Huettel, Roarke Horstmeyer
Publikováno v:
Frontiers in Neuroscience, Vol 16 (2022)
Fast noninvasive probing of spatially varying decorrelating events, such as cerebral blood flow beneath the human skull, is an essential task in various scientific and clinical settings. One of the primary optical techniques used is diffuse correlati
Externí odkaz:
https://doaj.org/article/7bab300deff84ef7a093752ee5c382b3
Publikováno v:
Frontiers in Oncology, Vol 12 (2022)
ObjectivePolymorphous low-grade neuroepithelial tumor of the young (PLNTY) is a novel distinct epileptogenic neoplasm, and its clinical, imaging, histopathological, and molecular features were already known in the existing literature. We aimed to ana
Externí odkaz:
https://doaj.org/article/e8517fd3dd9c44ecaf7a4ca0282b0c2d