A Brain Computer Interface for Robust Wheelchair Control Application Based on Pseudorandom Code Modulated Visual Evoked Potential

被引：0

作者：

Mohebbi, Ali ^{[1
]}

Engelsholm, Signe K. D. ^{[1
]}

Puthusserypady, Sadasivan ^{[1
]}

Kjaer, Troels W. ^{[2
]}

Thomsen, Carsten E. ^{[3
]}

Sorensen, Helge B. D. ^{[1
]}

机构：

[1] Tech Univ Denmark, Dept Elect Engn, DK-2800 Lyngby, Denmark

[2] Roskilde Univ Hosp, Dept Neurol, DK-4000 Roskilde, Denmark

[3] Univ Copenhagen, Dept Odontol, DK-2200 Copenhagen, Denmark

来源：

2015 37TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC) | 2015年

关键词：

D O I：

暂无

中图分类号：

R318 [生物医学工程];

学科分类号：

0831 ;

摘要：

In this pilot study, a novel and minimalistic Brain Computer Interface (BCI) based wheelchair control application was developed. The system was based on pseudo-random code modulated Visual Evoked Potentials (c-VEPs). The visual stimuli in the scheme were generated based on the Gold code, and the VEPs were recognized and classified using subject-specific algorithms. The system provided the ability of controlling a wheelchair model (LEGO (R) MINDSTORM (R) EV3 robot) in 4 different directions based on the elicited c-VEPs. Ten healthy subjects were evaluated in testing the system where an average accuracy of 97% was achieved. The promising results illustrate the potential of this approach when considering a real wheelchair application.

引用

页码：602 / 605

页数：4

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