Zobrazeno 1 - 10
of 260
pro vyhledávání: '"Kuo Kai Shyu"'
Autor:
Shih-Pin Hsu, Chia-Feng Lu, Bing-Fong Lin, Chih-Wei Tang, I-Ju Kuo, Yun-An Tsai, Chao-Yu Guo, Po-Lei Lee, Kuo-Kai Shyu, David M. Niddam, I-Hui Lee
Publikováno v:
Journal of NeuroEngineering and Rehabilitation, Vol 20, Iss 1, Pp 1-13 (2023)
Abstract Background Bihemispheric transcranial direct current stimulation (tDCS) of the primary motor cortex (M1) can simultaneously modulate bilateral corticospinal excitability and interhemispheric interaction. However, how tDCS affects subacute st
Externí odkaz:
https://doaj.org/article/69a28fa9b1a242b79e4b0fd9566f06db
Publikováno v:
IEEE Access, Vol 11, Pp 139457-139465 (2023)
Several motor imagery classification methods have been developed and achieve higher accuracy. Machine learning (ML) based algorithms utilizing manually designed features often encounter robustness issues, leading to diminished accuracy. While deep le
Externí odkaz:
https://doaj.org/article/b5aea993e0cd44db99f8ebdc75c91411
Publikováno v:
IEEE Access, Vol 11, Pp 49172-49182 (2023)
Many deep-learning-based seizure detection algorithms have achieved good classification, which usually outperformed traditional machine-learning-based algorithms. However, the hand-engineered features increase the computational complexity and potenti
Externí odkaz:
https://doaj.org/article/32b1c7806dc14a6394ed8e5223ac290a
Publikováno v:
IEEE Access, Vol 11, Pp 5990-5999 (2023)
In recent years, many studies have proposed seizure detection algorithms, but most of them require high computing resources and a large amount of memory, which are difficult to implement in wearable devices. This paper proposes a seizure detection al
Externí odkaz:
https://doaj.org/article/8b2b741a06164b42946dde24f7c7ebfe
Autor:
Lung-Hao Lee, Chang-Hao Chen, Wan-Chen Chang, Po-Lei Lee, Kuo-Kai Shyu, Mu-Hong Chen, Ju-Wei Hsu, Ya-Mei Bai, Tung-Ping Su, Pei-Chi Tu
Publikováno v:
European Psychiatry, Vol 65 (2022)
Abstract Background Support vector machines (SVMs) based on brain-wise functional connectivity (FC) have been widely adopted for single-subject prediction of patients with schizophrenia, but most of them had small sample size. This study aimed to ev
Externí odkaz:
https://doaj.org/article/be58bdb7737d46b19f83db9204ad14ed
Autor:
Kuo-Wei Wang, Chia-Yuen Chen, Hsiao-Huang Chang, Chuan-Chih Hsu, Gong-Yau Lan, Hao-Teng Hsu, Kuo-Kai Shyu, Wing P. Chan, Po-Lei Lee
Publikováno v:
IEEE Access, Vol 7, Pp 15375-15388 (2019)
Olfactory dysfunction is related to several clinical neurodegenerative diseases, such as Alzheimer's disease, multiple sclerosis, degenerative ataxias, Parkinson's disease, and so on. Owing to the individual difference in the sensory adaption of huma
Externí odkaz:
https://doaj.org/article/bfadab8eb5b9477c8695565bee26ef82
Publikováno v:
Brain Sciences, Vol 11, Iss 6, p 701 (2021)
The sense of smell is one of the most important organs in humans, and olfactory imaging can detect signals in the anterior orbital frontal lobe. This study assessed olfactory stimuli using support vector machines (SVMs) with signals from functional n
Externí odkaz:
https://doaj.org/article/bce511a6b46f45e3827e1762ff50f640
Publikováno v:
International Journal of Clinical Medicine and Bioengineering. 2:27-32
We have developed multi-channel dry-electrode electroencephalography (EEG) system to implement a brain computer interface (BCI) and discriminate four-class motor imagery signals. The EEG channels recorded from Fz, F3, F4, C3, Cz, C4, P3, and P4 posit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::93b3f1ab0d4a450fd4632b993f71f18c
https://doi.org/10.35745/ijcmb2022v02.01.0005
https://doi.org/10.35745/ijcmb2022v02.01.0005
Publikováno v:
IEEE Sensors Journal. 20:10251-10266
Remote sensing of life detection or a non-contact monitor of vital signals is an important application for Ultra-wideband (UWB) radar, such as health monitoring of a vehicle driver. Using the UWB radar to detect physiological signals of a dynamic hum
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::31e137a2ade2725664513ffc0b3af9de
https://doi.org/10.1109/jsen.2020.2992687
https://doi.org/10.1109/jsen.2020.2992687
Publikováno v:
Electronics
Volume 12
Issue 4
Pages: 792
Volume 12
Issue 4
Pages: 792
This study proposes a novel bidirectional-switched-capacitor-based interleaved converter. In view of the shortcomings of the two well-known unidirectional-switched-capacitor-based interleaved converters, this study improves such converters through co
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9860f2bc6c21f16e0e600c6c208af7a3
https://doi.org/10.3390/electronics12040792
https://doi.org/10.3390/electronics12040792