fNIRS-based Neurorobotic Interface for gait rehabilitation.

Journal: Journal of neuroengineering and rehabilitation
Published Date: Feb 5, 2018

Abstract

BACKGROUND: In this paper, a novel functional near-infrared spectroscopy (fNIRS)-based brain-computer interface (BCI) framework for control of prosthetic legs and rehabilitation of patients suffering from locomotive disorders is presented.

Authors

  • Rayyan Azam Khan
    Department of Mechatronics Engineering, Air University, Islamabad, Pakistan.
  • Noman Naseer
    Department of Mechatronics Engineering, Air University, Islamabad, Pakistan. noman@pusan.ac.kr.
  • Nauman Khalid Qureshi
    Department of Biomedical Engineering, Faculty of Electronic Information and Electrical Engineering, Dalian University of Technology, Dalian, China.
  • Farzan Majeed Noori
    Department of Electrical and Computer Engineering, Institute of Systems and Robotics, University of Coimbra, Coimbra, Portugal.
  • Hammad Nazeer
    Department of Mechatronics Engineering, Air University, Islamabad, Pakistan.
  • Muhammad Umer Khan
    Department of Mechatronics Engineering, Air University, Islamabad, Pakistan.

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