A comparative study of pseudorandom sequences used in a c-VEP based BCI for online wheelchair control

Jonas Isaksen, Ali Mohebbi, Sadasivan Puthusserypady

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

4 Citations (Scopus)

Abstract

In this study, a c-VEP based BCI system was developed to run on three distinctive pseudorandom sequences, namely the m-code, the Gold-code, and the Barker-code. The Visual Evoked Potentials (VEPs) were provoked using these codes. In the online session, subjects controlled a LEGO(®) Mindstorms(®) robot around a fixed track. Choosing the optimal code proved a significant increase in accuracy (p<;0.00001) over the average performance. No single code proved significantly more accurate than the others (p=0.81), suggesting that the term "optimal code" is subject-dependent. However, the Gold-code was significantly faster than both alternatives (p=0.006, p=0.016). When choosing the optimal code for accuracy, no significant decrease in Time Per Identification (TPI) was found (p=0.67). Thus, when creating an online c-VEP based BCI system, it is recommended to use multiple random sequences for increased performance.

Original languageEnglish
Title of host publication38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society
Number of pages4
PublisherIEEE
Publication dateAug 2016
Pages1512-1515
DOIs
Publication statusPublished - Aug 2016
EventAnnual International Conference of the Engineering in Medicine and Biology Society - Orlando, United States
Duration: 16 Aug 201620 Aug 2016
Conference number: 38

Conference

ConferenceAnnual International Conference of the Engineering in Medicine and Biology Society
Number38
Country/TerritoryUnited States
CityOrlando
Period16/08/201620/08/2016

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