Examining vr/robotic hand retraining in an acute rehabilitation unit: A pilot study

Alma Merians, Mathew Yarossi, Jigna Patel, Qinyin Qiu, Gerard Fluet, Eugene Tunik, Sergei Adamovich

Research output: Chapter in Book/Report/Conference proceedingChapter

1 Scopus citations

Abstract

Current service delivery models limit treatment time and length of hospital stay during the period of post-ischemic heightened neuronal plasticity when intensive training may optimally affect recovery. Prioritization for rehabilitation of independence in transfers and ambulation, negatively impacts the provision of intensive hand and upper extremity therapy. Our pilot data show that we are able to integrate intensive, targeted hand therapy that uses robotics and a library of gaming activities into the routine of an acute rehabilitation setting. Our system has been specifically designed to deliver hand training when motion and strength are limited. The system uses adaptive algorithms to drive individual finger movement, gain adaptation and workspace modification, and haptic and visual feedback from mirrored movements. The data establishes a foundation for a future clinical trial to investigate the potential benefits of robot-assisted gaming during the early phase of recovery.

Original languageEnglish (US)
Title of host publicationBiosystems and Biorobotics
PublisherSpringer International Publishing
Pages437-441
Number of pages5
DOIs
StatePublished - Jan 1 2017

Publication series

NameBiosystems and Biorobotics
Volume15
ISSN (Print)2195-3562
ISSN (Electronic)2195-3570

All Science Journal Classification (ASJC) codes

  • Biomedical Engineering
  • Mechanical Engineering
  • Artificial Intelligence

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