Zobrazeno 1 - 10
of 38
pro vyhledávání: '"Zheng Yang Chin"'
Autor:
Tih-Shih Lee, Siau Juinn Alexa Goh, Shin Yi Quek, Rachel Phillips, Cuntai Guan, Yin Bun Cheung, Lei Feng, Stephanie Sze Wei Teng, Chuan Chu Wang, Zheng Yang Chin, Haihong Zhang, Tze Pin Ng, Jimmy Lee, Richard Keefe, K Ranga Rama Krishnan
Publikováno v:
PLoS ONE, Vol 8, Iss 11, p e79419 (2013)
UnlabelledCognitive decline in aging is a pressing issue associated with significant healthcare costs and deterioration in quality of life. Previously, we reported the successful use of a novel brain-computer interface (BCI) training system in improv
Externí odkaz:
https://doaj.org/article/1b36374d72524b9786e2666870293271
Publikováno v:
2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).
Affective Computing is a multidisciplinary area of research that allows computers to perform human emotion recognition, with potential applications in areas such as healthcare, gaming and intuitive human computer interface design. Hence, this paper p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b0c178707961cbd6f398bccd738fe9f2
https://doi.org/10.1109/embc46164.2021.9630045
https://doi.org/10.1109/embc46164.2021.9630045
Autor:
Min Quan Heo, Cuntai Guan, Lei Feng, Juan Zhou, Tze Pin Ng, Mei Sian Chong, Zheng Yang Chin, Haihong Zhang, Tih-Shih Lee, Si Ning Yeo, Yin Bun Cheung, Wei Theng Sng, Chuanchu Wang, K. Ranga Rama Krishnan, Dianne Bautista
Publikováno v:
Journal of Alzheimer's Disease. 66:127-138
Background Cognitive training has been demonstrated to improve cognitive performance in older adults. To date, no study has explored personalized training that targets the brain activity of each individual. Objective This is the first large-scale tri
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d14c4e7b6872b7a205dffe2942abd081
https://doi.org/10.3233/jad-180450
https://doi.org/10.3233/jad-180450
Autor:
Xin Jie Jordon Tng, Daniel Fung, Tih-Shih Lee, Yin Bun Cheung, Zheng Yang Chin, Haihong Zhang, Cuntai Guan, Tze Jui Goh, Sze-Hui Jane Teo, Min Sung, Shih Jen Weng, Choon Guan Lim, Xue Wei Wendy Poh, Chuanchu Wang
Publikováno v:
Research in Autism Spectrum Disorders. 89:101882
Background Current treatment practices for comorbid conditions of autism spectrum disorder (ASD) and attention deficit hyperactivity disorder (ADHD) remain limited. This study examined the feasibility of an EEG brain-computer interface (BCI) programm
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bc762bd55a7f6b3682d57776936b0293
https://doi.org/10.1016/j.rasd.2021.101882
https://doi.org/10.1016/j.rasd.2021.101882
Autor:
Shi Hui Poon, Cuntai Guan, Zheng Yang Chin, Tih-Shih Lee, Leslie Lim, Ranga R. Krishnan, Yin Bun Cheung, Xiangting Bernice Lin, Joanna Ling, Chuanchu Wang, Haihong Zhang
Publikováno v:
JMIR Mental Health
Background Exposure therapy is highly effective for social anxiety disorder. However, there is room for improvement. Objective This is a first attempt to examine the feasibility of an arousal feedback–based exposure therapy to alleviate social anxi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b77d634b217cd121afc2a16b67d2d012
http://europepmc.org/articles/PMC6594210
http://europepmc.org/articles/PMC6594210
Publikováno v:
EMBC
Cognitive workload, which is the level of mental effort required for a cognitive task, can be assessed by monitoring the changes in neurophysiological measures such as electroencephalogram (EEG). This study investigates the performance of an EEG-base
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7af3f74487a9bd40727b47ebc6363aa8
https://doi.org/10.1109/embc.2018.8512675
https://doi.org/10.1109/embc.2018.8512675
Autor:
Wilson Low, Kok Soon Phua, Cuntai Guan, Zheng Yang Chin, Chuanchu Wang, Karen Sui Geok Chua, Kai Keng Ang, Christopher Wee Keong Kuah
Publikováno v:
Clinical EEG and Neuroscience. 46:310-320
Electroencephalography (EEG)–based motor imagery (MI) brain-computer interface (BCI) technology has the potential to restore motor function by inducing activity-dependent brain plasticity. The purpose of this study was to investigate the efficacy o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a810c7b0d8bcf744441d7a277aaf4c15
https://doi.org/10.1177/1550059414522229
https://doi.org/10.1177/1550059414522229
Publikováno v:
Pattern Recognition. 45:2137-2144
The common spatial pattern (CSP) algorithm is effective in decoding the spatial patterns of the corresponding neuronal activities from electroencephalogram (EEG) signal patterns in brain-computer interfaces (BCIs). However, its effectiveness depends
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::78074df2d8c01d01b1b580c3d03341b1
https://doi.org/10.1016/j.patcog.2011.04.018
https://doi.org/10.1016/j.patcog.2011.04.018
Autor:
Zheng Yang Chin, Christopher Wee Keong Kuah, Cuntai Guan, Beng Ti Ang, Karen Sui Geok Chua, Kai Keng Ang, Haihong Zhang, Kok Soon Phua, Chuanchu Wang
Publikováno v:
ResearcherID
Brain-computer interface (BCI) technology has the prospects of helping stroke survivors by enabling the interaction with their environment through brain signals rather than through muscles, and restoring motor function by inducing activity-dependent
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::da4900c7d36c257b4e7beb0b6c0a092d
https://doi.org/10.1177/155005941104200411
https://doi.org/10.1177/155005941104200411
Publikováno v:
IEEE Transactions on Neural Networks. 22:52-63
This paper proposes a feature extraction method for motor imagery brain-computer interface (BCI) using electroencephalogram. We consider the primary neurophysiologic phenomenon of motor imagery, termed event-related desynchronization, and formulate t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f5f1fffca351601096cedfcfbb82176f
https://doi.org/10.1109/tnn.2010.2084099
https://doi.org/10.1109/tnn.2010.2084099