Design and Implementation of Real-time Brain-computer Interface System Based on LabVIEW

Abstract

Brain-computer interface (BCI) is a newly developed man-machine interface method that is applied in the field of brain science, rehabilitation engineering, biomedical engineering and human-machine automatic control. Under the LabVIEW environment of virtual instrument graphical programming language, this paper improves the program of Active One, a physiological signal acquisition system. The off-line processing system of electroencephalogram(EEG) is improved to a real-time processing system and a real-time feedback BCI experiment system is established based on visual evoked potential (VEP). The cumulative average method combined with the FIR filter method was used to extract the VEP signal and form a closed-loop BCI. Real-time feedback of the BCI system was realized and the VEP signal was automatically identified. Using the proposed method of this paper to implement BCI can achieve a higher accuracy with certain practicality and feasibility.

Real-Time Image Transmission Algorithm in WSN with Limited Bandwidth

“…The main contributions of this paper are as follows: Constructing a synchronous wireless sensor network framework that allows monitoring nodes to be dynamically added or deleted; A front-end image compression algorithm and a corresponding restoration algorithm to meet the needs of real-time image transmission; A general simulation test and migration method, which can quickly deploy this research to a new platform, and perform off-line testing to verify the effectiveness of migration [12].…”

Identification and Classification of Electroencephalogram Signals Based on Independent Component Analysis

“…The equipment control module classifies the control commands in light of the external environment, and thus controls the external devices like wheelchairs and electric fans. Overall, the BCI is a novel interactive system that offers a direct channel between human brain and the external electronic devices, with brain signals as information carrier (Liu, 2017). The system does not rely on the normal output channels of the brain.…”