Header menu link for other important links
X
A novel multiple frequency stimulation method for steady state VEP based brain computer interfaces
Published in
2006
PMID: 16365511
Volume: 27
   
Issue: 1
Pages: 61 - 71
Abstract
The objective is to increase the number of selections in brain computer interfaces (BCI) by recording and analyzing the steady state visual evoked potential response to dual stimulation. A BCI translates the VEP signals into user commands. The frequency band from which stimulation frequency can be selected is limited for SSVEP. This paper discusses a method to increase the number of commands by using a suitable combination of frequencies for stimulation. A biopotential amplifier based on the driven right leg circuit (DRL) is used to record 60 s epochs of the SSVEP (Oz-A1) on 15 subjects using simultaneous overlapped stimulation (6, 7, 12, 13 and 14 Hzs and corresponding half frequencies). The power spectrum of each recording is obtained by frequency domain averaging of 400 ms SSVEPs and the spectral peaks were normalized. The spectral peaks of the combination frequencies of stimulation are predominant compared to individual stimulating frequencies. This method increases the number of selections by using a limited number of stimulating frequencies in BCI. For example, six selections are possible by generating only three frequencies. © 2006 IOP Publishing Ltd.
About the journal
JournalPhysiological Measurement
ISSN09673334
Open AccessNo
Concepts (21)
  •  related image
    Adult
  •  related image
    Article
  •  related image
    BRAIN COMPUTER INTERFACE
  •  related image
    Electrophysiology
  •  related image
    EVOKED VISUAL RESPONSE
  •  related image
    Human
  •  related image
    Human experiment
  •  related image
    Normal human
  •  related image
    Priority journal
  •  related image
    RECORDING
  •  related image
    Steady state
  •  related image
    STIMULUS RESPONSE
  •  related image
    BRAIN MAPPING
  •  related image
    Electroencephalography
  •  related image
    EVOKED POTENTIALS, VISUAL
  •  related image
    FACTOR ANALYSIS, STATISTICAL
  •  related image
    Feasibility studies
  •  related image
    Humans
  •  related image
    Middle aged
  •  related image
    User-computer interface
  •  related image
    Visual cortex