| Literature DB >> 23497529 |
Cynthia Swarnalatha Srikesavan1, Barbara Shay, David B Robinson, Tony Szturm.
Abstract
BACKGROUND: Significant restriction in the ability to participate in home, work and community life results from pain, fatigue, joint damage, stiffness and reduced joint range of motion and muscle strength in people with rheumatoid arthritis or osteoarthritis of the hand. With modest evidence on the therapeutic effectiveness of conventional hand exercises, a task-oriented training program via real life object manipulations has been developed for people with arthritis. An innovative, computer-based gaming platform that allows a broad range of common objects to be seamlessly transformed into therapeutic input devices through instrumentation with a motion-sense mouse has also been designed. Personalized objects are selected to target specific training goals such as graded finger mobility, strength, endurance or fine/gross dexterous functions. The movements and object manipulation tasks that replicate common situations in everyday living will then be used to control and play any computer game, making practice challenging and engaging. METHODS/Entities:
Mesh:
Year: 2013 PMID: 23497529 PMCID: PMC3599819 DOI: 10.1186/1745-6215-14-69
Source DB: PubMed Journal: Trials ISSN: 1745-6215 Impact factor: 2.279
Figure 1Instrumentation of objects. (A) A coffee mug is instrumented with the motion sense mouse using Velcro strips. (B) A turning knob is instrumented with the mouse using a wooden block, dowel, rubber pad and Velcro strips.
Figure 2Framework for selecting personalized therapeutic objects for the task-oriented training program.
Figure 3Task-oriented training with a few selected objects. (A) A bottle cap is manipulated by rotating it left or right. (B) A medium-sized ball is manipulated by rotating it left or right. (C) A flat wooden board is manipulated by tilting it up down and vice versa. (D) A dumbbell is used for strengthening the wrist extensors.
Figure 4Objective variables of the predictable tracking task. (A) Coefficient of determination of user motion trajectory. Bold lined waveform, user motion signal; thin line, reference waveform for a manipulation task. (B) Temporal accuracy. Bold lined waveform in the top plot, reference waveform; light shading, user motion signal for a manipulation task. A maximum and minimum point on the up and down cycles of the user signal is shown. The time taken to reach maximum and minimum points for each movement cycle is compared between the two signals. (C) Amplitude consistency. An arbitrary line drawn on a user motion signal represents amplitude consistency in upward and downward directions.
Figure 5Parsed movements from a random game play. Outcome measures derived from episodic game play are shown.
Figure 6Flowchart of the clinical trial from recruitment to final assessment stages.
Treatment progression guidelines for both groups
| Control group | Number of repetitions of each exercise | 5 | 8 | 12 |
| Experimental group | Personalized objects | 3 to 4 | 4 to 5 | 5 to 6 |
| Both groups | Strengthening (60 to 70% of one repetition maximum | 1 set ×10 repetitions | 1 set ×15 repetitions | 1 set ×20 repetitions |
| Both groups | Exercise duration | 15 minutes | 20 minutes | 25 minutes |