Zobrazeno 1 - 10
of 66
pro vyhledávání: '"Miao, Zhengqing"'
Autor:
Miao, Zhengqing, Zhao, Meirong
Motor imagery (MI) based EEG represents a frontier in enabling direct neural control of external devices and advancing neural rehabilitation. This study introduces a novel time embedding technique, termed traveling-wave based time embedding, utilized
Externí odkaz:
http://arxiv.org/abs/2405.15812
Autor:
Miao, Zhengqing, Zhao, Meirong
In the realm of EEG decoding, enhancing the performance of artificial neural networks (ANNs) carries significant potential. This study introduces a novel approach, termed "weight freezing", that is anchored on the principles of ANN regularization and
Externí odkaz:
http://arxiv.org/abs/2306.05775
Autor:
Miao, Zhengqing, Zhao, Meirong
Low-channel EEG devices are crucial for portable and entertainment applications. However, the low spatial resolution of EEG presents challenges in decoding low-channel motor imagery. This study introduces TSFF-Net, a novel network architecture that i
Externí odkaz:
http://arxiv.org/abs/2304.01461
EEG-based recognition of activities and states involves the use of prior neuroscience knowledge to generate quantitative EEG features, which may limit BCI performance. Although neural network-based methods can effectively extract features, they often
Externí odkaz:
http://arxiv.org/abs/2303.16407
Autor:
Miao, Zhengqing, Zhao, Meirong
Publikováno v:
In Biomedical Signal Processing and Control February 2025 100 Part B
Priming Cross-Session Motor Imagery Classification with A Universal Deep Domain Adaptation Framework
Motor imagery (MI) is a common brain computer interface (BCI) paradigm. EEG is non-stationary with low signal-to-noise, classifying motor imagery tasks of the same participant from different EEG recording sessions is generally challenging, as EEG dat
Externí odkaz:
http://arxiv.org/abs/2202.09559
Autor:
Miao, Zhengqing, Zhao, Meirong
Publikováno v:
In Biomedical Signal Processing and Control April 2024 90
Publikováno v:
In Energy 1 October 2023 280
Publikováno v:
In NeuroImage 1 August 2023 276
Priming cross-session motor imagery classification with a universal deep domain adaptation framework
Publikováno v:
In Neurocomputing July 2023