Iranian Journal of Biomedical Engineering (IJBME)
نشریه علمی مهندسی پزشکی زیستی

Virtual Elbow Joint Angle Control using SSVEP-Based Brain-Computer Interface

Document Type : Full Research Paper

Authors

Yasaman Dankoub 1
Ali Maleki 2

1 Ph.D. Candidate, Biomedical Engineering Department, Semnan University, Semnan, Iran

2 Associate Professor, Biomedical Engineering Department, Semnan University, Semnan, Iran

https://doi.org/10.22041/ijbme.2024.2035001.1913
Abstract
In recent years, the idea of using brain-computer interface systems in practical areas to solve movement and communication limitations of people with disabilities has been considered. In this study, a BCI system based on steady state visual evoked potential to control the model of one degree of freedom of elbow joint with functional electrical stimulation, has been implemented. Stimulation was presented to the subject through 9 optical stimuli and the signals was recorded from the occipital lobe from ,  and  electrodes. Excitation frequency recognition is performed using the CCA method and the joint angle is determined. The extracted angle is sent to the fuzzy controller as input. The musculoskeletal system in MATLAB software is simulated as two links and a revolute joint on a transverse plane using the Zajac model for biceps and triceps muscles. Fuzzy controller according to the desired angle, applies electrical stimulation to muscle. The frequency recognition accuracy for the 3-second time window with a latency of 0.4 seconds was 100%. Also, the RMSE value elbow joint angle was equal to 0.17 degrees. The performance of real-time system for 10 healthy individuals showed that all subjects were able to successfully complete the task.

Keywords

Brain-Computer Interface
Fuzzy Controller
Elbow Joint
Functional Electrical Stimulation
Steady-State Visual Evoked Potential
Subjects
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Iranian Journal of Biomedical Engineering (IJBME)
Volume 17, Issue 4
Winter 2024
Pages 361-371

  • Receive Date 08 July 2024
  • Revise Date 26 August 2024
  • Accept Date 26 August 2024

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