Analysis of EEG Signal to Detect Motor Command Generation towards Stroke Rehabilitation

  • Yoshikatsu Hayashi
  • Kiyoshi Nagai
  • Koji Ito
  • Slawomir J. Nasuto
  • Rui C. V. Loureiro
  • William S. Harwin
Conference paper

DOI: 10.1007/978-3-642-34546-3_92

Volume 1 of the book series Biosystems & Biorobotics (BIOSYSROB)
Cite this paper as:
Hayashi Y., Nagai K., Ito K., Nasuto S.J., Loureiro R.C.V., Harwin W.S. (2013) Analysis of EEG Signal to Detect Motor Command Generation towards Stroke Rehabilitation. In: Pons J., Torricelli D., Pajaro M. (eds) Converging Clinical and Engineering Research on Neurorehabilitation. Biosystems & Biorobotics, vol 1. Springer, Berlin, Heidelberg

Abstract

Our aim is to reconstruct the brain-body loop of stroke patients via an EEG-driven robotic system. After the detection of motor command generation, the robotic arm should assist patient’s movement at the correct moment and in a natural way. In this study we performed EEG measurements from healthy subjects performing discrete spontaneous motion. An EEG analysis based on the temporal correlation of the brain activity was employed to determine the onset of single motion motor command generation.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Yoshikatsu Hayashi
    • 1
  • Kiyoshi Nagai
    • 1
  • Koji Ito
    • 1
  • Slawomir J. Nasuto
    • 2
  • Rui C. V. Loureiro
    • 3
  • William S. Harwin
    • 2
  1. 1.Department of Robotics, College of Science and EngineeringRitsumeikan UniversityKusatsu-shiJapan
  2. 2.School of Systems EngineeringUniversity of ReadingReadingUnited Kingdom
  3. 3.School of Engineering and Information SciencesMiddlesex UniversityLondonUnited Kingdom