Quantitative assessment of motor functions post-stroke: Responsiveness of upper-extremity robotic measures and its task dependence.

Journal: IEEE ... International Conference on Rehabilitation Robotics : [proceedings]
Published Date:

Abstract

Technology aided measures offer a sensitive, accurate and time-efflcient approach for the assessment of sensorimotor function after neurological impairment compared to standard clinical assessments. This preliminary study investigated the relationship between task definition and its effect on robotic measures using a planar, two degree of freedom, robotic-manipulator (H-Man). Four chronic stroke participants (49.5±11.95 years, 2 Female, FMA: 37.5±13.96) and eight healthy control participants (26.25± 4.70 years, 2 Female) participated in the study. Motor functions were evaluated using line tracing and circle tracing tasks with dominant and nondominant hand of healthy and affected vs. non affected hand of stroke participants. The results show significant dependence of quantitative measures on investigated tasks.

Authors

  • Asif Hussain
    Robotics Research Centre, School of Mechanical and Aerospace Engineering, Nanyang Technological University, Singapore, Singapore.
  • Aamani Budhota
    Robotics Research Centre, School of Mechanical and Aerospace Engineering, Nanyang Technological University, Singapore, Singapore.
  • Sara Contu
  • Simone Kager
    NUS Graduate School for Integrative Sciences and Engineering, National University of Singapore, Singapore, Singapore.
  • Deshmukh A Vishwanath
  • Christopher W K Kuah
    Centre for Advanced Rehabilitation Therapeutics, Department of Rehabilitation Medicine, Tan Tock Seng Hospital, Singapore, Singapore.
  • Lester H L Yam
    Centre for Advanced Rehabilitation Therapeutics, Department of Rehabilitation Medicine, Tan Tock Seng Hospital, Singapore, Singapore.
  • Karen S G Chua
    Centre for Advanced Rehabilitation Therapeutics, Department of Rehabilitation Medicine, Tan Tock Seng Hospital, Singapore, Singapore.
  • Lorenzo Masia
  • Domenico Campolo
    Robotics Research Centre, School of Mechanical and Aerospace Engineering, Nanyang Technological University, Singapore, Singapore.