Zobrazeno 1 - 10
of 28
pro vyhledávání: '"Yangyang Miao"'
Autor:
Qingyun You, Jing Guan, Bensheng Wu, Jun Du, Yangyang Miao, Xinxin Bai, Yuhua Ma, Shuguang Zhen, Zongqi He
Publikováno v:
BMC Surgery, Vol 24, Iss 1, Pp 1-8 (2024)
Abstract Background Fournier’s Gangrene is a severe surgical infectious disease, and various risk factors can increase its mortality rate. The purpose of this study is to retrospectively analyze the clinical characteristics and laboratory data of F
Externí odkaz:
https://doaj.org/article/39fe591709504c70893c38099d1afd07
Autor:
Nensi Murovec, Alexander Heilinger, Ren Xu, Rupert Ortner, Rossella Spataro, Vincenzo La Bella, Yangyang Miao, Jing Jin, Camille Chatelle, Steven Laureys, Brendan Z. Allison, Christoph Guger
Publikováno v:
Frontiers in Neuroscience, Vol 14 (2020)
Persons diagnosed with disorders of consciousness (DOC) typically suffer from motor and cognitive disabilities. Recent research has shown that non-invasive brain-computer interface (BCI) technology could help assess these patients’ cognitive functi
Externí odkaz:
https://doaj.org/article/3522ba237c234405b3d824b97acf767c
Autor:
Yangyang Miao, Shugeng Chen, Xinru Zhang, Jing Jin, Ren Xu, Ian Daly, Jie Jia, Xingyu Wang, Andrzej Cichocki, Tzyy-Ping Jung
Publikováno v:
Neural Plasticity, Vol 2020 (2020)
Background. Stroke is the leading cause of serious and long-term disability worldwide. Survivors may recover some motor functions after rehabilitation therapy. However, many stroke patients missed the best time period for recovery and entered into th
Externí odkaz:
https://doaj.org/article/ed0d60076d6a442caa9d7ab21f2ab0ce
Publikováno v:
Metallurgical and Materials Transactions B. 53:4048-4062
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d992a252aa42ab255054982347aa32c1
https://doi.org/10.1007/s11663-022-02664-6
https://doi.org/10.1007/s11663-022-02664-6
Autor:
Yanfei Cao, Yangyang Miao, Dianzhong Li, Yun Chen, Paixian Fu, Hongwei Liu, Xiuhong Kang, Hanghang Liu, Chen Sun
Publikováno v:
Metallurgical and Materials Transactions B. 53:1858-1874
Macrosegregation is one of the most typical defects during solidification which greatly limits the mechanical properties of the key steel components. Oxygen and its inclusion have been considered to cause the compositional heterogeneity in solidifyin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9eed53f6e8f43e5963b188d463159520
https://doi.org/10.1007/s11663-022-02496-4
https://doi.org/10.1007/s11663-022-02496-4
Publikováno v:
IEEE Transactions on Neural Networks and Learning Systems. 32:4814-4825
The common spatial pattern (CSP) algorithm is a well-recognized spatial filtering method for feature extraction in motor imagery (MI)-based brain-computer interfaces (BCIs). However, due to the influence of nonstationary in electroencephalography (EE
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::437aeddf524728f0d29b3027d98b6618
https://doi.org/10.1109/tnnls.2020.3015505
https://doi.org/10.1109/tnnls.2020.3015505
Publikováno v:
IEEE Transactions on Neural Systems and Rehabilitation Engineering. 28:2153-2163
The performance of motor imagery (MI) based Brain-computer interfacing (BCI) is easily affected by noise and redundant information that exists in the multi-channel electroencephalogram (EEG). To solve this problem, many temporal and spatial feature b
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::274320692c39f6cea31ad51e6ead97d4
https://doi.org/10.1109/tnsre.2020.3020975
https://doi.org/10.1109/tnsre.2020.3020975
Publikováno v:
IEEE Transactions on Biomedical Engineering. 67:2585-2593
Tactile brain-computer interface (BCI) systems can provide new communication and control options for patients with impairments of eye movements or vision. One of the most common modalities used in these BCIs is the P300 potential. Until now, tactile
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8d1c6f4011598520bcb03c94f55188b0
https://doi.org/10.1109/tbme.2020.2965178
https://doi.org/10.1109/tbme.2020.2965178
Publikováno v:
Neurocomputing. 378:36-44
Canonical correlation analysis (CCA) has been widely used for frequency recognition in steady-state visual evoked potential (SSVEP) based brain–computer interfaces (BCIs). However, linear CCA-based methods may be insufficient given the complexity o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0112b405bb85b2d8b60f8218da1a80b0
https://doi.org/10.1016/j.neucom.2019.10.049
https://doi.org/10.1016/j.neucom.2019.10.049
Publikováno v:
Journal of neuroscience methods. 365
Background Common spatial pattern (CSP) is a prevalent method applied to feature extraction in motor imagery (MI)-based brain-computer interfaces (BCIs) recorded by electroencephalogram (EEG). The selection of time windows and frequency bands promine
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::059d2fabb4b877325c06e27289249e00
https://pubmed.ncbi.nlm.nih.gov/34626685
https://pubmed.ncbi.nlm.nih.gov/34626685