Zobrazeno 1 - 10
of 576
pro vyhledávání: '"Weihai Chen"'
Publikováno v:
Heliyon, Vol 10, Iss 20, Pp e39245- (2024)
Objective: Depression is a mental disorder characterized by persistent feelings of sadness, decreased interest or pleasure in activities and reduced energy. As a highly prevalent disorder, it seriously endangers the psychosocial functioning of patien
Externí odkaz:
https://doaj.org/article/76d7ea0f70df4125a9a112f289f01f72
Autor:
Huijing Ren, Ling Tang, Zhiying Yuan, Yang Liu, Xuejiao Zhou, Xiao Xiao, Xingyu Wu, Weihai Chen, Yi Chen, Hongjin Wang, Qiang Xue, Xiaoyu Xu
Publikováno v:
Frontiers in Pharmacology, Vol 15 (2024)
Alzheimer’s Disease (AD) is a progressive neurodegenerative disorder affecting millions of people worldwide, with no effective treatment currently available. In recent decades, various traditional Chinese medicines (TCMs) and their active ingredien
Externí odkaz:
https://doaj.org/article/1f911440b89f416fa9de44fe49c4dddb
Publikováno v:
IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol 32, Pp 166-177 (2024)
The existing surface electromyography-based pattern recognition system (sEMG-PRS) exhibits limited generalizability in practical applications. In this paper, we propose a stacked weighted random forest (SWRF) algorithm to enhance the long-term usabil
Externí odkaz:
https://doaj.org/article/5224cb8c96094cc58b4028618de4bbf7
Publikováno v:
IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol 31, Pp 3188-3200 (2023)
Deep learning methods have been widely explored in motor imagery (MI)-based brain computer interface (BCI) systems to decode electroencephalography (EEG) signals. However, most studies fail to fully explore temporal dependencies among MI-related patt
Externí odkaz:
https://doaj.org/article/f1b2612735734c62aa2261043edd4cde
Publikováno v:
Micromachines, Vol 13, Iss 9, p 1485 (2022)
Brain–machine interfaces (BMIs) have been applied as a pattern recognition system for neuromodulation and neurorehabilitation. Decoding brain signals (e.g., EEG) with high accuracy is a prerequisite to building a reliable and practical BMI. This st
Externí odkaz:
https://doaj.org/article/de3584a19695489f9762702fdfa083a5
Publikováno v:
IEEE Access, Vol 7, Pp 184909-184922 (2019)
The blackbody cavity sensor formed by two coaxial tubes has been widely used in continuous temperature measurement of molten steel. However, due to the closed bottom of the inner tube, the temperature accuracy, response time and temperature measureme
Externí odkaz:
https://doaj.org/article/439fa241da6843b5963ee8fc60e19ac3
Autor:
Minmin Chu, Youmei Zhang, Jianer Chen, Weihai Chen, Zhenmei Hong, Yue Zhang, Hong Yu, Feilan Zhang, Xiancong Ye, Jingjing Li, Yun Yang
Publikováno v:
Journal of Integrative Neuroscience, Vol 21, Iss 5, p 130 (2022)
Background: The efficacy of intermittent theta-burst stimulation (iTBS) and transcranial direct current stimulation (tDCS) combined with cognitive training in the treatment of post-stroke cognitive impairment (PSCI) requires further investigation. Me
Externí odkaz:
https://doaj.org/article/dd14849f33a747aaaab803849593b54d
Publikováno v:
Frontiers in Neuroscience, Vol 12 (2018)
Renewal of fear outside treatment context is a challenge for behavioral therapies. Prior studies suggest a social buffering effect that fear response is attenuated in the presence of social company. However, few studies have examined the role of soci
Externí odkaz:
https://doaj.org/article/9d51fd87602242429d45a603502cdefe
Publikováno v:
Frontiers in Human Neuroscience, Vol 11 (2017)
Brain-machine interfaces (BMIs) have been applied as new rehabilitation tools for motor disabled individuals. Active involvement of cerebral activity has been shown to enhance neuroplasticity and thus to restore mobility. Various studies have focused
Externí odkaz:
https://doaj.org/article/d37d9551bed544e4abcc7ccc01130042
Publikováno v:
Sensors, Vol 19, Iss 20, p 4461 (2019)
Compared with conventional exoskeletons with rigid links, cable-driven upper-limb exoskeletons are light weight and have simple structures. However, cable-driven exoskeletons rely heavily on the human skeletal system for support. Kinematic modeling a
Externí odkaz:
https://doaj.org/article/8c08b27405994b628ec6eb7b89afd706