The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
By the development of biosensor, signal processing techniques and critical technical breakthrough, the concept of brain-computer interface has been extended and emphasized that the interface between brain and electromechanical equipment is involved rather than just computer. This development leads to the formation of new technical theoretical system — brain control technology. In this paper, the development...
The EEG (electronencephalogram) conduction process is studied in this paper, which is based on steady-state visual evoked and hand movement working mechanism. The mathematical model is built for the generation of SSVEP (steady-state visual evoked potential). The model of the advanced central nervous system is built by using Jansen method. Finally, the results of numerical simulation showed that VEP...
The restoration of walking capability is very important after central nervous system (CNS) injury. Rehabilitation training robot can replace therapists to help patients do walking training by accurately simulating the human lower limb movement, and achieve the purpose of rehabilitation ultimately. In order to further improve the rehabilitation robots' intelligent and rehabilitation training effect...
Simultaneous EEG/fMRI is a new technique which can record the EEG and fMRI signal currently. By using this new method people expect to obtain both high temporal and spatial resolution of brain activity. Resting state, which is referred to the brain state under no task conditions, has been one of the focuses of the neuroscience research field. Recently researchers have found the resting state is well...
High accuracy for the classification of electroencephalogram (EEG) signal is an important basis for a brain-computer interface (BCI) system. In this paper, we proposed a novel approach to enhance the classification performance in identifying EEG signals, which classify EEG by combining multi-scale filters and principal component analysis (PCA). First, a multi-scale filter with different size of filter...
Combining with transductive confidence machine, an improved KIII model is proposed in this paper. The improved KIII model can make prediction with confidence measure and credibility measure, not just bare prediction, which also can control the risk of error effectively. Based on the analysis of normal and hypoxia EEG, experimental results show that the improved model can give the credibility for every...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.