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Comparison of robotic and clinical motor function improvement measures for sub-acute stroke patients

  • Ozkan Celik
  • , Marcia K. O'Malley
  • , Corwin Boake
  • , Harvey Levin
  • , Steven Fischer
  • , Timothy Reistetter

Producción científica: Conference contribution

Resumen

In this paper, preliminary results in motor function improvement for four sub-acute stroke patients that underwent a hybrid robotic and traditional rehabilitation program are presented. The therapy program was scheduled for three days a week, four hours per day (approximately 60% traditional constraint induced therapy activities and 40% robotic therapy). A haptic joystick was used to implement four different operating modes for robotic therapy: unassisted (U), constrained (C), assisted (A), and resisted (R) modes. A target hitting task involving the positioning of a pointer on twelve targets was completed by the patients. Two different robotic measures were utilized to quantify the motor function improvement through the sessions: trajectory error (TE) and smoothness of movement (SM). Fugl-Meyer (FM) and Motor Activity Log (MAL) scales were used as clinical measures. Analysis of results showed that the group demonstrates a significant motor function improvement with respect to both clinical and robotic measures. Regression analyses were carried out on corresponding clinical and robotic measure result pairs. A significant relation between FM scale and robotic measures was found for both of the analyzed modes. Regression of robotic measures on MAL scores resulted in no significance. A regression analysis that compared the two clinical measures revealed a very low agreement. Our findings suggest that it might be possible to obtain objective robotic measures that are significantly correlated to widely-used and reliable clinical measures in considerably different operating modes and control schemes.

Idioma originalEnglish (US)
Título de la publicación alojada2008 IEEE International Conference on Robotics and Automation, ICRA 2008
Páginas2477-2482
Número de páginas6
DOI
EstadoPublished - 2008
Publicado de forma externa
Evento2008 IEEE International Conference on Robotics and Automation, ICRA 2008 - Pasadena, CA, United States
Duración: may 19 2008may 23 2008

Serie de la publicación

NombreProceedings - IEEE International Conference on Robotics and Automation
ISSN (versión impresa)1050-4729

Conference

Conference2008 IEEE International Conference on Robotics and Automation, ICRA 2008
País/TerritorioUnited States
CiudadPasadena, CA
Período5/19/085/23/08

ASJC Scopus subject areas

  • Software
  • Control and Systems Engineering
  • Artificial Intelligence
  • Electrical and Electronic Engineering

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