Results 71 to 80 of about 182,579 (322)

A Novel Transfer Learning‐Based Hybrid EEG‐fNIRS Brain‐Computer Interface for Intracerebral Hemorrhage Rehabilitation

Advanced Science, EarlyView.
The study has developed the first clinically validated hybrid EEG‐fNIRS brain‐computer interface fusion framework that systematically overcomes cross‐subject generalization barriers through a novel Wasserstein metric‐driven neural template selection mechanism.
Danyang Chen, Jian Shi, Bo Tao, Xingwei Zhao, Zhixian Zhao, Shengjie Li, Yeguang Xu, Tao Ding, Peng Zhang, Qing Ye, Kuiyou Chen, Zhuojin Wu, Yingxin Tang, Wei Jiang, Kai Shu, Li Huang, Zheng You, Ping Zhang, Zhouping Tang   +18 more
wiley   +1 more source

Experimental Study for Determining the Parameters Required for Detecting ECG and EEG Related Diseases during the Timed-Up and Go Test

Computers, 2020
The use of smartphones, coupled with different sensors, makes it an attractive solution for measuring different physical and physiological features, allowing for the monitoring of various parameters and even identifying some diseases. The BITalino device
Vasco Ponciano, Ivan Miguel Pires, Fernando Reinaldo Ribeiro, María Vanessa Villasana, Maria Canavarro Teixeira, Eftim Zdravevski   +5 more
doaj   +1 more source

Targeting ROCK2 to Restore Epileptic Synaptic Networks via Mitophagy Activation: Insights from Translational Imaging of SV2A In Vivo

Advanced Science, EarlyView.
By integrating synaptic vesicle glycoprotein 2A PET imaging and transcriptomics, this study identifies Rho‐associated protein kinase 2 (ROCK2) as a critical regulator of synaptic network dysfunction in temporal lobe epilepsy. Pharmacological ROCK2 inhibition restores synaptic density and enhances mitophagy, thereby reducing seizures and neuronal damage.
Ling Xiao, Jing Wang, Bei Chen, Jinhui Yang, Fangyu Wu, Chunyao Zhou, Yifei Zhang, Zhiquan Yang, Dingyang Liu, Lei Tian, Jianhua Yu, Fei Han, Yongxiang Tang, Li Feng, Shuo Hu   +14 more
wiley   +1 more source

A real-time wireless wearable electroencephalography system based on Support Vector Machine for encephalopathy daily monitoring

International Journal of Distributed Sensor Networks, 2018
Wearable electroencephalography systems of out-of-hospital can both provide complementary recordings and offer several benefits over long-term monitoring. However, several limitations were present in these new-born systems, for example, uncomfortable for
Qing Zhang, Pingping Wang, Yan Liu, Bo Peng, Yufu Zhou, Zhiyong Zhou, Baotong Tong, Bensheng Qiu, Yishan Zheng, Yakang Dai   +9 more
doaj   +1 more source

A Novel Connectome-based Electrophysiological Study of Subjective Cognitive Decline Related to Alzheimer’s Disease by Using Resting-state High-density EEG EGI GES 300

Brain Sciences, 2020
Aim: To investigate for the first time the brain network in the Alzheimer’s disease (AD) spectrum by implementing a high-density electroencephalography (HD-EEG - EGI GES 300) study with 256 channels in order to seek if the brain connectome can be ...
Ioulietta Lazarou, Kostas Georgiadis, Spiros Nikolopoulos, Vangelis P. Oikonomou, Anthoula Tsolaki, Ioannis Kompatsiaris, Magda Tsolaki, Dimitris Kugiumtzis   +7 more
doaj   +1 more source

Organic Electrochemical Transistors Monolithically Integrated with Precise Micro‐Dispensing Enable High‐Performance Biosignals Amplification

Advanced Science, EarlyView.
This research showcases a micro‐dispensing strategy for integrating high‐performance organic electrochemical transistors (OECTs) and amplifiers onto flexible substrates. The method achieves precise material deposition, enabling fully micro‐dispensed OECT amplifiers with a record 1 MHz gain‐bandwidth product.
Roberto Granelli, Virginia M. Demartis, Giulia Frusconi, Zsolt M. Kovács‐Vajna, Fabrizio Torricelli   +4 more
wiley   +1 more source

Interactive Prompt‐Guided Robotic Grasping for Arbitrary Objects Based on Promptable Segment Anything Model and Force‐Closure Analysis

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
A laser pointer‐guided robotic grasping method for arbitrary objects based on promptable segment anything model and force‐closure analysis is presented. Grasp generation methods based on force‐closure analysis can calculate the optimal grasps for objects through their appearances. However, the limited visual perception ability makes robots difficult to
Yan Liu, Yaxin Liu, Ruiqing Han, Kai Zheng, Yufeng Yao, Ming Zhong   +5 more
wiley   +1 more source

An Accurate Sleep Stages Classification Method Based on State Space Model

IEEE Access, 2019
The classification of sleep stages is the process which helps to evaluate the quality of sleep and detect the sleep related disorders. Through analyzing the electroencephalography, the sleep stages can be discriminated manually by specialists.
Huaming Shen, Meihua Xu, Allon Guez, Ang Li, Feng Ran   +4 more
doaj   +1 more source

Time-varying parametric modelling and time-dependent spectral characterisation with applications to EEG signals using multi-wavelets [PDF]

, 2008
A new time-varying autoregressive (TVAR) modelling approach is proposed for nonstationary signal processing and analysis, with application to EEG data modelling and power spectral estimation.
Billings, S.A., Liu, J., Wei, H.L.
core  

Protocol for electrophysiological monitoring of carotid endarterectomies. [PDF]

, 2010
Near zero stroke rates can be achieved in carotid endarterectomy (CEA) surgery with selective shunting and electrophysiological neuromonitoring. though false negative rates as high as 40% have been reported.
Di Giorgio, Anthony M, Evans, William, Liu, Hong, Russell, Michael J, Williams, Eric S   +4 more
core   +2 more sources