Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Yu-Tsung Hsiao"'
Publikováno v:
Frontiers in Computational Neuroscience, Vol 15 (2021)
Individuals with mild cognitive impairment (MCI) are at high risk of developing into dementia (e. g., Alzheimer's disease, AD). A reliable and effective approach for early detection of MCI has become a critical challenge. Although compared with other
Externí odkaz:
https://doaj.org/article/12471425866f40188f4c2b6140c5e937
Publikováno v:
Actuators, Vol 10, Iss 7, p 152 (2021)
Classification between individuals with mild cognitive impairment (MCI) and healthy controls (HC) based on electroencephalography (EEG) has been considered a challenging task to be addressed for the purpose of its early detection. In this study, we p
Externí odkaz:
https://doaj.org/article/1d599645b07d4982bee1336b0e9f7df3
Publikováno v:
Sensors, Vol 14, Iss 8, Pp 13361-13388 (2014)
Electroencephalogram-based emotion recognition (EEG-ER) has received increasing attention in the fields of health care, affective computing, and brain-computer interface (BCI). However, satisfactory ER performance within a bi-dimensional and non-disc
Externí odkaz:
https://doaj.org/article/5e2355dbd6904ae1827bb55a9e00d43f
Autor:
Yu-Tsung Hsiao, 蕭玉聰
102
BCIs (Brain-Computer Interface) have received much more attentions in recent studies and developments, they establish a direct communication between patients suffering for severe motor-disabilities (such as stroke and ALS) and the outside wo
BCIs (Brain-Computer Interface) have received much more attentions in recent studies and developments, they establish a direct communication between patients suffering for severe motor-disabilities (such as stroke and ALS) and the outside wo
Externí odkaz:
http://ndltd.ncl.edu.tw/handle/37217703981433439383
Publikováno v:
International Journal of Fuzzy Systems. 23:2432-2448
Dementia due to Alzheimer’s disease has become a global health burden. Early detection of one of its potential prodromal state, mild cognitive impairment (MCI), appears to be critical for early interventions. The present study, therefore, addressed
Publikováno v:
Actuators, Vol 10, Iss 152, p 152 (2021)
Actuators
Volume 10
Issue 7
Actuators
Volume 10
Issue 7
Classification between individuals with mild cognitive impairment (MCI) and healthy controls (HC) based on electroencephalography (EEG) has been considered a challenging task to be addressed for the purpose of its early detection. In this study, we p
Publikováno v:
Journal of Medical and Biological Engineering. 39:54-69
Bilateral upper-limb motor imagery has been demonstrated to be a useful mental task in electroencephalography (EEG)-based brain–computer interfaces (BCIs). By contrast, few studies have examined bilateral lower-limb motor imagery, and all of them h
Publikováno v:
International Journal of Fuzzy Systems. 19:566-579
Although various kinds of motor imageries have been used for BCI applications, imaginary lower limb stepping movement has not been studied yet. The purpose of this study is to investigate the possibilities of using electroencephalography (EEG) signal
Publikováno v:
SMC
This paper presents a visual feedback available robotic gait training system for motor recovery of hemiplegic stroke survivors. The system is composed of a treadmill consisting of two split belts, a pelvic support manipulator assisting patient's pelv
Autor:
Jui-Yiao Su, Yu-Tsung Hsiao, Wei Chun Hsu, Quanquan Liu, Bo Zhang, Yi-Hung Liu, Masakatsu G. Fujie, Yo Kobayashi
Publikováno v:
EMBC
This paper presents a robotic gait training system for neuro-motor rehabilitation of hemiplegic stroke survivors. The system is composed of a treadmill consisting of two separated belts, footprint array sensor attached below each belt for gait data a