A New Design of Mental State Classification for Subject Independent BCI Systems
Sign Up to like & getrecommendations! Published in 2019 at "IRBM"
DOI: 10.1016/j.irbm.2019.05.004
Abstract: Abstract Background Brain Computer Interface (BCI) systems have been widely used to develop sustainable assistive technology for people suffering from neurological impairments. A major limitation of current BCI systems is that they are based on… read more here.
Keywords: bci; subject independent; bci system; bci systems ... See more keywords
Efficient Subject-independent Detection of Anterior Cruciate Ligament deficiency based on marine predator algorithm and support vector machine.
Sign Up to like & getrecommendations! Published in 2022 at "IEEE journal of biomedical and health informatics"
DOI: 10.1109/jbhi.2022.3152846
Abstract: Anterior cruciate ligament (ACL) deficiency not only reduces knee stability, but also increases the risk of more disease and impairs daily life, thus requiring efficient detection of ACL deficiency. To build an efficient subject-independent ACL… read more here.
Keywords: subject independent; acl deficiency; method; efficient subject ... See more keywords
Learning Invariant Patterns Based on a Convolutional Neural Network and Big Electroencephalography Data for Subject-Independent P300 Brain-Computer Interfaces
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Neural Systems and Rehabilitation Engineering"
DOI: 10.1109/tnsre.2021.3083548
Abstract: A brain-computer interface (BCI) measures and analyzes brain activity and converts this activity into computer commands to control external devices. In contrast to traditional BCIs that require a subject-specific calibration process before being operated, a… read more here.
Keywords: subject independent; independent p300; brain computer;