Assistance Device Based on SSVEP-BCI Online to Control a 6-DOF Robotic Arm

被引：0

作者：

Alban-Escobar, Maritza ^{[1
]}

Navarrete-Arroyo, Pablo ^{[1
]}

De la Cruz-Guevara, Danni Rodrigo ^{[2
,3
]}

Tobar-Quevedo, Johanna ^{[1
]}

机构：

[1] Univ Fuerzas Armadas, Dept Energy & Mech Sci, Sangolqui 171103, Ecuador

[2] Univ Fuerzas Armadas, Dept Elect Elect & Telecommun Engn, Sangolqui 171103, Ecuador

[3] Escuela Politec Nacl, Dept Mech Engn, Quito 170525, Ecuador

来源：

SENSORS | 2024年 / 24卷 / 06期

关键词：

assistance device; rehabilitation engineering; SSVEP-BCI; 6-DOF robotic arm; EEG sensors; REHABILITATION; SYSTEM;

D O I：

10.3390/s24061922

中图分类号：

O65 [分析化学];

学科分类号：

070302 ; 081704 ;

摘要：

This paper explores the potential benefits of integrating a brain-computer interface (BCI) utilizing the visual-evoked potential paradigm (SSVEP) with a six-degrees-of-freedom (6-DOF) robotic arm to enhance rehabilitation tools. The SSVEP-BCI employs electroencephalography (EEG) as a method of measuring neural responses inside the occipital lobe in reaction to pre-established visual stimulus frequencies. The BCI offline and online studies yielded accuracy rates of 75% and 83%, respectively, indicating the efficacy of the system in accurately detecting and capturing user intent. The robotic arm achieves planar motion by utilizing a total of five control frequencies. The results of this experiment exhibited a high level of precision and consistency, as indicated by the recorded values of +/- 0.85 and +/- 1.49 cm for accuracy and repeatability, respectively. Moreover, during the performance tests conducted with the task of constructing a square within each plane, the system demonstrated accuracy of 79% and 83%. The use of SSVEP-BCI and a robotic arm together shows promise and sets a solid foundation for the development of assistive technologies that aim to improve the health of people with amyotrophic lateral sclerosis, spina bifida, and other related diseases.

引用

页数：27