Brad E Dicianno1, Harshal Mahajan2, Rory A Cooper3. 1. Human Engineering Research Laboratories and Center of Excellence in Wheelchairs and Related Technology, VA Pittsburgh HealthCare System, 6425 Penn Avenue, Suite 400, Bakery Square, Pittsburgh, PA 15206; and Department of Rehabilitation Science and Technology and Department of Physical Medicine and Rehabilitation, University of Pittsburgh, Pittsburgh, PA(∗). Electronic address: dicianno@pitt.edu. 2. Human Engineering Research Laboratories and Center of Excellence in Wheelchairs and Related Technology, VA Pittsburgh HealthCare System, Pittsburgh, PA; Department of Rehabilitation Science and Technology, University of Pittsburgh, Pittsburgh, PA(†). 3. Human Engineering Research Laboratories and Center of Excellence in Wheelchairs and Related Technology, VA Pittsburgh HealthCare System, Pittsburgh, PA; Department of Rehabilitation Science and Technology, Department of Physical Medicine and Rehabilitation, and Department of Bioengineering, University of Pittsburgh, Pittsburgh, PA(‡).
Abstract
OBJECTIVE: To compare 2 correction algorithms and 2 joysticks (a conventional movement-sensing joystick and a custom-designed isometric joystick) in computer access tasks. DESIGN: Repeated-measures, within-subject. SETTING: National Veterans Wheelchair Games. PARTICIPANTS: Fifteen participants with various diagnoses including multiple sclerosis, spinal cord injury, traumatic brain injury, Wilson disease, and Parkinson disease. METHODS: A computer access test scenario was used to evaluate the effects of applying proportional integral derivative (PID)-based and least means-based algorithms to suppress unintentional cursor motions by users with upper extremity spasticity. MAIN OUTCOME MEASURES: Trial completion time, reaction time, and trajectory-based measures: movement offset, movement variability, and percentage of out-of-path motion on test tracks. RESULTS: The quantitative outcome measures showed a high correlation with clinical measures for spasticity and functional independence. On small test tracks, compared to when no correction algorithms were used, both algorithms performed equally well in suppressing unintentional cursor motions. On longer test tracks, participants navigated most accurately while using the PID algorithm. Participants moved the cursor more accurately using the isometric joystick compared to the movement-sensing joystick, with only a slight increase in the task completion times. CONCLUSIONS: The joysticks and the advanced correction algorithms show promise for use in wide-ranging applications as control interfaces.
OBJECTIVE: To compare 2 correction algorithms and 2 joysticks (a conventional movement-sensing joystick and a custom-designed isometric joystick) in computer access tasks. DESIGN: Repeated-measures, within-subject. SETTING: National Veterans Wheelchair Games. PARTICIPANTS: Fifteen participants with various diagnoses including multiple sclerosis, spinal cord injury, traumatic brain injury, Wilson disease, and Parkinson disease. METHODS: A computer access test scenario was used to evaluate the effects of applying proportional integral derivative (PID)-based and least means-based algorithms to suppress unintentional cursor motions by users with upper extremity spasticity. MAIN OUTCOME MEASURES: Trial completion time, reaction time, and trajectory-based measures: movement offset, movement variability, and percentage of out-of-path motion on test tracks. RESULTS: The quantitative outcome measures showed a high correlation with clinical measures for spasticity and functional independence. On small test tracks, compared to when no correction algorithms were used, both algorithms performed equally well in suppressing unintentional cursor motions. On longer test tracks, participants navigated most accurately while using the PID algorithm. Participants moved the cursor more accurately using the isometric joystick compared to the movement-sensing joystick, with only a slight increase in the task completion times. CONCLUSIONS: The joysticks and the advanced correction algorithms show promise for use in wide-ranging applications as control interfaces.
Authors: Brad E Dicianno; Donald M Spaeth; Rory A Cooper; Shirley G Fitzgerald; Michael L Boninger Journal: Am J Phys Med Rehabil Date: 2006-08 Impact factor: 2.159
Authors: Rory A Cooper; Dan Ding; Richard Simpson; Shirley G Fitzgerald; Donald M Spaeth; Songfeng Guo; Alicia M Koontz; Rosemarie Cooper; Jongbae Kim; Michael L Boninger Journal: Assist Technol Date: 2005
Authors: Brad E Dicianno; Donald M Spaeth; Rory A Cooper; Shirley G Fitzgerald; Michael L Boninger; Karl W Brown Journal: IEEE Trans Neural Syst Rehabil Eng Date: 2007-03 Impact factor: 3.802
Authors: Harshal Mahajan; Donald M Spaeth; Brad E Dicianno; Diane M Collins; Michael L Boninger; Rory A Cooper Journal: Arch Phys Med Rehabil Date: 2011-08 Impact factor: 3.966