Brain-computer interface (BCI) based on functional near-infrared spectroscopy (fNIRS) is a new-type human-computer interaction technique. To explore the separability of fNIRS signals in different motor imageries on the single limb, the study measured the fNIRS signals of 15 subjects (amateur football fans) during three different motor imageries of the right foot (passing, stopping and shooting). And the correlation coefficient of the HbO signal during different motor imageries was extracted as features for the input of a three-classification model based on support vector machines. The results found that the classification accuracy of the three motor imageries of the right foot was 78.89%±6.161%. The classification accuracy of the two-classification of motor imageries of the right foot, that is, passing and stopping, passing and shooting, and stopping and shooting was 85.17%±4.768%, 82.33%±6.011%, and 89.33%±6.713%, respectively. The results demonstrate that the fNIRS of different motor imageries of the single limb is separable, which is expected to add new control commands to fNIRS-BCI and also provide a new option for rehabilitation training and control peripherals for unilateral stroke patients. Besides, the study also confirms that the correlation coefficient can be used as an effective feature to classify different motor imageries.
In order to guarantee the safety and accuracy of the whole treating process as well as better link up of each section during the treatment, we did research in order to establish a project concerning the process quality control (PQC) of treating liver cancer with CyberKnife. From the safety and accuracy point of view, we divided the whole process of treating liver cancer with CyberKnife into ten links, i.e. the registration of patients' information, the implantation of fiducial markers, fixation of body posture, CT localization, target delineation, design of the treatment plan, quality assurance in physics, implementation of the treatment plan, inspection on the correctness and data archiving. We analyzed the possible mistakes in each link and the consequences brought by them. To smoothly connect all the links, a special part "Attention" was added between every two links. Various wrong operations which may influence the safety and accuracy of treatment were illustrated, and the consequences brought by them were also explained. The "Attention" part among links offers important information for the next step, and gives us reminding and warnings. The project of quality control covers all the important links when treating liver cancer with CyberKnife. It offers regulations, reminding and warning for us so that the safety and accuracy of treatment can be guaranteed, and the work of all staff could be closely connected.
ObjectiveTo investigate target gene therapy for hepatocellular carcinoma (HCC). MethodsHerpes simplex virus thymidine kinase (HSVTK) gene was inserted into the gene of AFP enhancer/ALB promoter with adenoassociated virus (AAV) plasmid (WAV2) as a carrier, and a hybrid plasmid pWAV2/AFPALB/HYTK was constructed. Besides, plasmid pEGFP1/AFPALB was also constructed. Two kinds of plasmids were transferred into AFP positive cells HepG2 and AFP negative cells 7721, SPC and 7901.ResultsIt was found that enhance green fluorescence protein could only be seen in AFP positive cells HepG2. 710 bp DNA was amplified only in AFP positive HepG2 cells.ConclusionPlasmid pWAV2/AFPALB/HYTK for HCC demonstrates specificity in vitro.