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Brain-Computer Interface-controlled Upper Limb Robotic System for Enhancing Daily Activities in Stroke Patients
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A Novel Mu Rhythm-based Brain Computer Interface Design that uses a Programmable System on Chip.

Rohan Joshi1, Prateek Saraswat, Rudhram Gajendran

  • 1Faculty of Engineering Science, Katholieke Universiteit Leuven, Leuven, Belgium.

Journal of Medical Signals and Sensors
|March 16, 2013
PubMed
Summary

This study presents a portable Brain Computer Interface (BCI) using a Programmable System on Chip (PSoC) for mu rhythm analysis. The system achieved over 70% accuracy in cursor control, demonstrating a cost-effective BCI solution.

Keywords:
ElectroencephalogramMu rhythmPSoCbrain computer interfacemicrocontrollerportableprosthetic

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Area of Science:

  • Biomedical Engineering
  • Neuroscience
  • Computer Engineering

Background:

  • Brain Computer Interfaces (BCI) enable direct communication pathways between the brain and external devices.
  • Mu rhythm analysis of electroencephalogram (EEG) signals offers a viable method for BCI control.
  • Existing BCI systems often require significant computational resources and cost.

Purpose of the Study:

  • To design and develop a portable and economical mu rhythm-based Brain Computer Interface.
  • To integrate essential signal processing onto a single chip to reduce system complexity and cost.
  • To evaluate the usability and performance of the developed BCI system.

Main Methods:

  • System design utilizing Cypress Programmable System on Chip (PSoC) for integrated processing.
  • Custom hardware design and software development using Microsoft Visual Studio and PSoC Designer.
  • Preliminary usability testing with three human subjects performing cursor control tasks.

Main Results:

  • Elimination of the need for an external computer, leading to substantial cost savings.
  • Demonstrated user control over electroencephalogram (EEG) signals for directional cursor movement.
  • Achieved average accuracy greater than 70% and a communication rate of up to 7 bits/min.

Conclusions:

  • The PSoC-based BCI system is a portable, economical, and effective solution for mu rhythm-based control.
  • The integrated processing approach significantly reduces system cost and complexity.
  • Preliminary results indicate promising potential for practical BCI applications.