A microcontroller based system to measure and analyse SSVEP in humans
01 Dec 2015-pp 1-6
TL;DR: An embedded system to test and analyze the visual response of a person to different optical frequencies at different blinking rate was designed and it was concluded that green LED flickering at a frequency of 20Hz generated a larger SSVEP in the subjects.
Abstract: The objective of this work is to design an embedded system to test and analyze the visual response of a person to different optical frequencies at different blinking rate. The Steady State Visual Evoked Potential (SSVEP) of a subject can be induced in the subject by using different colored LEDs flickering at different frequencies. The subjects were made to view this stimulus, and the EEG signals were acquired using electrodes placed on the scalp of the subject that was in turn connected to a microcontroller. The signals were then analyzed in the LabVIEW environment. The energy of the signals were then calculated and plotted. It was conclude that green LED flickering at a frequency of 20Hz generated a larger SSVEP in the subjects. This concept can be further extended to the road sign applications, in order to develop road signs that are attractive and catches the attention of the driver (indicated by the large SSVEP).
Citations
More filters
01 Nov 2017
TL;DR: The design of a 32-channels electroencephalogram signal acquisition system uses 4 modules of the ADS1299EEGFE-PDK configured with SPI cascade mode and controlled by a LaunchPad MSP432P401R developed using C Energia version 1.6.
Abstract: An Electroencephalogram (EEG) is a device to obtain electrical activities of the brain, which is used to detect and analyze epilepsy, seizure, sleep analysis, and other brain defects. This paper presents the design of a 32-channels electroencephalogram signal acquisition system uses 4 modules of the ADS1299EEGFE-PDK configured with SPI cascade mode and controlled by a LaunchPad MSP432P401R. The system was developed using C Energia version 1.6.10E18 and sampled to 24 bits up to 250 SPS. The acquired signals were displayed and saved in time-domain and frequency-domain using LabVIEW. These signals were tested to the NETECH MiniSIM EEG Simulator 330. This work is part of EEG research for stroke rehabilitation.
2 citations
Cites background from "A microcontroller based system to m..."
...Data acquisition and signal processing systems based on Personal Computer (PC) have been widely used in the medical field for being efficient in obtaining and analyzing biomedical signals [11]....
[...]
References
More filters
TL;DR: Steady-state visual evoked potentials (SSVEP) differences were strongly related to the frequency spectrum differences of the flickers and the stimulator was selected based on the complexity of the BCI system.
194 citations
25 Oct 2001
TL;DR: The results show that the rhythms at the duplation, sum or difference of the two-stimulation frequencies can be evoked by multiple color stimulus.
Abstract: Steady state visual evoked potentials (SSVEP) are of the characteristics of high SNR and effectiveness in short-term identification of evoked responses. In most of the SSVEP experiments, single high frequency stimuli are used. To characterize the complex rhythms in SSVEP, a new multiple color stimulus pattern is proposed in this paper. FFT and bispectrum analysis methods are used to detect the phase coupling of the two stimulation frequencies in the recorded SSVEP. The results show that the rhythms at the duplation, sum or difference of the two-stimulation frequencies can be evoked by multiple color stimulus.
34 citations