Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Kunqiang Qing"'
Publikováno v:
Frontiers in Neurology, Vol 15 (2024)
Stroke is a cerebrovascular illness that brings about the demise of brain tissue. It is the third most prevalent cause of mortality worldwide and a significant contributor to physical impairment. Generally, stroke is triggered by blood clots obstruct
Externí odkaz:
https://doaj.org/article/adf18bfe84c64c8ea6296af99bf4964f
Publikováno v:
Frontiers in Neuroscience, Vol 17 (2023)
In the context of population aging, the growing problem of Alzheimer’s disease (AD) poses a great challenge to mankind. Although there has been considerable progress in exploring the etiology of AD, i.e., the important role of amyloid plaques and n
Externí odkaz:
https://doaj.org/article/f940e7cbb22b403fbfd4079247a5e9c6
Autor:
Bin Jiao, Rihui Li, Hui Zhou, Kunqiang Qing, Hui Liu, Hefu Pan, Yanqin Lei, Wenjin Fu, Xiaoan Wang, Xuewen Xiao, Xixi Liu, Qijie Yang, Xinxin Liao, Yafang Zhou, Liangjuan Fang, Yanbin Dong, Yuanhao Yang, Haiyan Jiang, Sha Huang, Lu Shen
Publikováno v:
Alzheimer’s Research & Therapy, Vol 15, Iss 1, Pp 1-14 (2023)
Abstract Background Electroencephalogram (EEG) has emerged as a non-invasive tool to detect the aberrant neuronal activity related to different stages of Alzheimer’s disease (AD). However, the effectiveness of EEG in the precise diagnosis and asses
Externí odkaz:
https://doaj.org/article/2ffe54ead5bc44689ae0365a8aabaa06
Publikováno v:
Frontiers in Human Neuroscience, Vol 14 (2021)
This study decodes consumers' preference levels using a convolutional neural network (CNN) in neuromarketing. The classification accuracy in neuromarketing is a critical factor in evaluating the intentions of the consumers. Functional near-infrared s
Externí odkaz:
https://doaj.org/article/03bb607b5c1f4f9aab376b23c2065f4f
Publikováno v:
International Conference on Intelligent and Human-Computer Interaction Technology (IHCIT 2022).
Publikováno v:
2020 20th International Conference on Control, Automation and Systems (ICCAS).
Mild cognitive impairment (MCI) is an intermediate stage leading to Alzheimer's disease (AD). Diagnosis for MCI patients at an early stage can reduce the chances of developing into a severe condition for cognition. This study aims to identify the hea
Publikováno v:
2020 20th International Conference on Control, Automation and Systems (ICCAS).
Objective: This study investigates a new hand exoskeleton control framework for stroke patients using a brain-computer interface (BCI) technique. Methods: Hand rehabilitation exoskeletons are required to improve critical features, including portabili
Publikováno v:
2020 20th International Conference on Control, Automation and Systems (ICCAS).
One of the advantages of fNIRS systems is their portability for real-world applications. Therefore, the online rejection of the motion artifacts in functional near-infrared spectroscopy (fNIRS) signals is one of the essential research topics. We prop
Publikováno v:
2020 39th Chinese Control Conference (CCC).
Objective. This study is to investigate a cognition-based evaluation method of commercial advertisement videos (CAV) using neuroscientific technologies. The videos include three types of duration (15, 30, and 60 sec) and two narrative structures (lin
Publikováno v:
Biomedical Signal Processing and Control. 72:103301
Functional near-infrared spectroscopy (fNIRS) is an emerging technique for the non-invasive brain-computer interface (BCI). Quickly obtaining precise brain signals is very crucial for successful BCIs. This paper investigates a real-time filtering tec