A comparative study of pseudorandom sequences used in a c-VEP based BCI for online wheelchair control
Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
Standard
A comparative study of pseudorandom sequences used in a c-VEP based BCI for online wheelchair control. / Isaksen, Jonas; Mohebbi, Ali; Puthusserypady, Sadasivan.
38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE, 2016. p. 1512-1515.Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
Harvard
APA
Vancouver
Author
Bibtex
}
RIS
TY - GEN
T1 - A comparative study of pseudorandom sequences used in a c-VEP based BCI for online wheelchair control
AU - Isaksen, Jonas
AU - Mohebbi, Ali
AU - Puthusserypady, Sadasivan
N1 - Conference code: 38
PY - 2016/8
Y1 - 2016/8
N2 - 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.
AB - 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.
U2 - 10.1109/EMBC.2016.7590997
DO - 10.1109/EMBC.2016.7590997
M3 - Article in proceedings
C2 - 28324945
SP - 1512
EP - 1515
BT - 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society
PB - IEEE
T2 - Annual International Conference of the Engineering in Medicine and Biology Society
Y2 - 16 August 2016 through 20 August 2016
ER -
ID: 177087413