• DocumentCode
    84985
  • Title

    Assessing Upper Extremity Motor Function in Practice of Virtual Activities of Daily Living

  • Author

    Adams, Richard J. ; Lichter, Matthew D. ; Krepkovich, Eileen T. ; Ellington, Allison ; White, Marga ; Diamond, Paul T.

  • Author_Institution
    Barron Assoc., Inc., Charlottesville, VA, USA
  • Volume
    23
  • Issue
    2
  • fYear
    2015
  • fDate
    Mar-15
  • Firstpage
    287
  • Lastpage
    296
  • Abstract
    A study was conducted to investigate the criterion validity of measures of upper extremity (UE) motor function derived during practice of virtual activities of daily living (ADLs). Fourteen hemiparetic stroke patients employed a Virtual Occupational Therapy Assistant (VOTA), consisting of a high-fidelity virtual world and a Kinect™ sensor, in four sessions of approximately one hour in duration. An unscented Kalman Filter-based human motion tracking algorithm estimated UE joint kinematics in real-time during performance of virtual ADL activities, enabling both animation of the user´s avatar and automated generation of metrics related to speed and smoothness of motion. These metrics, aggregated over discrete sub-task elements during performance of virtual ADLs, were compared to scores from an established assessment of UE motor performance, the Wolf Motor Function Test (WMFT). Spearman´s rank correlation analysis indicates a moderate correlation between VOTA-derived metrics and the time-based WMFT assessments, supporting the criterion validity of VOTA measures as a means of tracking patient progress during an UE rehabilitation program that includes practice of virtual ADLs.
  • Keywords
    Kalman filters; avatars; gait analysis; kinematics; medical signal processing; patient rehabilitation; patient treatment; Kinec sensor; Spearman´s rank correlation analysis; UE joint kinematics; UE motor performance; UE rehabilitation program; VOTA-derived metrics; Virtual Occupational Therapy Assistant; Wolf Motor Function Test; automated metric generation; criterion validity; discrete subtask elements; hemiparetic stroke patient; high-fidelity virtual world; motion smoothness; motion speed; real-time during performance; time-based WMFT assessments; unscented Kalman Filter-based human motion tracking algorithm; upper extremity motor function; user avatar; virtual ADL activities; virtual activities of daily living; Joints; Kinematics; Shoulder; Tracking; Training; Vectors; Human computer interaction; human motion tracking; human motor performance; occupational therapy; patient rehabilitation; virtual reality;
  • fLanguage
    English
  • Journal_Title
    Neural Systems and Rehabilitation Engineering, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1534-4320
  • Type

    jour

  • DOI
    10.1109/TNSRE.2014.2360149
  • Filename
    6909063