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Electroencephalogram (EEG) activity in Male human during pleasant and unpleasant emotions by different events was investigated. When the subjects were listening to pleasant music and noise, the EEG data comparing pleasant and unpleasant states were obtained. Related emotional theta band was studied by using Principal Component Analysis of EEG data, meanwhile extracting the first principal component,...
By studying mental arithmetic for healthy adults by statistical analysis and investigating the load of local areas, the study is better to learn how the brain works. Subjects are 22 right-handed healthy university males. Subjects were asked to do mental arithmetic twice independently. Numbers were selected during 1 to 10 randomly. Every two numbers were given respectively; the time interval of them...
A robot arm control system based on sEMG is presented. Subjects could control robot arm to move up, down, left, right, to push and pull, based on the number of times of sEMG can be counted in time domain. Five subjects were tested to investigate simplicity, accuracy and response time of system. Results showed that, this system was very convenience for subjects to learn how to operate, and furthermore,...
A new kind of wrist-worn health monitoring terminal is developed to realize multi-parameter measurement, wearing facilitates and reliable data transmission. The physiological parameters includes body temperature, pulse rate, breath rate and waveform, blood pressure, electrocardiograph(ECG), electroencephalogram(EEG) and the level of blood glucose real-timely. This terminal is designed by modules,...
A Brain-Computer Interface (BCI) system based on Steady State Visual Evoked Potentials (SSVEP) was presented in this paper to realize four-direction motion control of a small ball on the computer screen. The system mainly included five parts of visual stimulator, electroencephalogram (EEG) amplifier, EEG acquisition, EEG processing and machine human interface on the computer screen. The system utilized...
This paper describes an application of DSP in the Human-computer interactive technology based on SEMG. DSP is used as the core of the system, using AD976 as the A/D converter. Using DSP processes the collected SEMG signal and feature extraction. Adopting some simple and easy method to classify the feature values, converted the different actions to the corresponding control commands, then send the...
This paper proposes the design method of a Brain-Computer Interface(BCI) system based on SSVEP. Achieved an effective collection and processing of SSVEP information through the combination of analog filtering and digital processing;Changed the features which were extracted from the processed signals into control commands to control the peripherals. In this paper, digital signal processor (DSP) is...
Functional magnetic resonance imaging (fMRI) methods measure neuronal activity-induced changes indirectly by the blood oxygenation level dependent (BOLD) effect. The most comprehensive model to date of the BOLD signal is formulated as a mixed continuous discrete time system of nonlinear stochastic differential equations. Previous approaches have been based on linear approximations of the dynamics,...
The research adopts the classical visual evoked potentials paradigm, designs the stimulation program and experimental scheme base on the labview platform,and the way of visual stimulate is studied in this paper. In this way we can produce event-related potentials more effectively. On the platform in labview, achieve the event-related potential signal acquisition and processing. Explore how extract...
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