Offline and online myoelectric pattern recognition analysis and real-time control of a robotic hand after spinal cord injury.

Journal: Journal of neural engineering
Published Date: Mar 5, 2019

Abstract

OBJECTIVE: The objective of this study was to investigate the feasibility of applying myoelectric pattern recognition for controlling a robotic hand in individuals with spinal cord injury (SCI).

Authors

  • Zhiyuan Lu
    From the Department of Physical Medicine and Rehabilitation, University of Texas Health Science Center, Houston, Texas (ZL, HS, AS, PZ); TIRR Memorial Hermann Research Center, Houston, Texas (ZL, HS, AS, PZ); Division of Biomedical Engineering, Department of Electronic Engineering, Chinese University of Hong Kong, Hong Kong, China (KT); and Guangdong Work Injury Rehabilitation Center, Guangzhou, China (PZ).
  • Argyrios Stampas
    Department of Physical Medicine and Rehabilitation and The Institute for Rehabilitation and Research (TIRR) Memorial Hermann Neurorecovery Research Center, University of Texas Health Science Center at Houston, TX, USA.
  • Gerard E Francisco
    TIRR Memorial Hermann and Department of PM&R, University of Texas Health Sciences Center, 1333 Moursund Street, Houston, 77030, USA. gerard.e.francisco@uth.tmc.edu.
  • Ping Zhou

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