Medical image fusion: A survey of the state of the art
AP James, BV Dasarathy - Information fusion, 2014 - Elsevier
Medical image fusion is the process of registering and combining multiple images from
single or multiple imaging modalities to improve the imaging quality and reduce …
single or multiple imaging modalities to improve the imaging quality and reduce …
A tensor-based frequency features combination method for brain–computer interfaces
Y Pei, Z Luo, H Zhao, D Xu, W Li, Y Yan… - … on Neural Systems …, 2021 - ieeexplore.ieee.org
With the development of the brain-computer interface (BCI) community, motor imagery-
based BCI system using electroencephalogram (EEG) has attracted increasing attention …
based BCI system using electroencephalogram (EEG) has attracted increasing attention …
A csp\am-ba-svm approach for motor imagery bci system
Brain-computer interface (BCI) has become extremely popular in recent decades. It gained
its significance from the intention of helping paralyzed people communicate with the external …
its significance from the intention of helping paralyzed people communicate with the external …
Complex common spatial patterns on time-frequency decomposed EEG for brain-computer interface
V Mishuhina, X Jiang - Pattern Recognition, 2021 - Elsevier
Motor imagery brain-computer interface (MI-BCI) has many promising applications but there
are problems such as poor classification accuracy and robustness which need to be …
are problems such as poor classification accuracy and robustness which need to be …
Reduce calibration time in motor imagery using spatially regularized symmetric positives-definite matrices based classification
Electroencephalogram (EEG) based motor imagery brain–computer interface (BCI) requires
large number of subject specific training trials to calibrate the system for a new subject. This …
large number of subject specific training trials to calibrate the system for a new subject. This …
Multi-view optimization of time-frequency common spatial patterns for brain-computer interfaces
Background Common spatial pattern (CSP) is a prevalent method applied to feature
extraction in motor imagery (MI)-based brain-computer interfaces (BCIs) recorded by …
extraction in motor imagery (MI)-based brain-computer interfaces (BCIs) recorded by …
Learning optimal time-frequency-spatial features by the cissa-csp method for motor imagery eeg classification
H Hu, Z Pu, H Li, Z Liu, P Wang - Sensors, 2022 - mdpi.com
The common spatial pattern (CSP) is a popular method in feature extraction for motor
imagery (MI) electroencephalogram (EEG) classification in brain–computer interface (BCI) …
imagery (MI) electroencephalogram (EEG) classification in brain–computer interface (BCI) …
Information fusion in the realm of medical applications-A bibliographic glimpse at its growing appeal
BV Dasarathy - Information Fusion, 2012 - dl.acm.org
Editorial: Information fusion in the realm of medical applications - A bibliographic glimpse at its
growing appeal: Information Fusion: Vol 13, No 1 skip to main content ACM Digital Library home …
growing appeal: Information Fusion: Vol 13, No 1 skip to main content ACM Digital Library home …
Non-dyadic wavelet decomposition for sensory-motor imagery EEG classification
P Chaudhary, R Agrawal - Brain-computer interfaces, 2020 - Taylor & Francis
Identification of imagined motor movement during cerebral activity is a significant task for
translating the activity into control signals for brain–computer interface-based applications …
translating the activity into control signals for brain–computer interface-based applications …
[PDF][PDF] 面向运动意图解码的共空间模式及其扩展算法研究综述
潘林聪， 王坤， 许敏鹏， 倪广健， 明东 - 中国生物医学工程学报, 2022 - cjbme.csbme.org
运动想象脑-机接口(MI⁃ BCI) 在人体运动功能康复, 替代, 增强等方面具有重要研究意义与应用
价值. 共空间模式(CSP) 算法旨在增强MI 诱导头皮脑电(EEG) 特征的差异性 …
价值. 共空间模式(CSP) 算法旨在增强MI 诱导头皮脑电(EEG) 特征的差异性 …