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Case Studies of Musculoskeletal-Simulation-Based Rehabilitation Program Evaluation
- Source :
- IEEE Transactions on Robotics. 25:634-638
- Publication Year :
- 2009
- Publisher :
- Institute of Electrical and Electronics Engineers (IEEE), 2009.
-
Abstract
- Variability in motor rehabilitation program outcomes can be attributed not only to individual components (human patient/rehabilitation equipment) but also to their system-level interactions. Thus, effective deployment of a rehabilitation program depends upon: 1) suitable therapist selection of user-device ergonomics; 2) adjustable device settings; and 3) exercise regimen parameters; to achieve desired system-level motor performance. In this paper, we discuss aspects of creation of a virtual design environment, leveraging tools from musculoskeletal analysis, optimization, and simulation-based design, to permit therapists to rapidly evaluate and systematically customize rehabilitation programs. Specifically, this framework is intended to facilitate 1) parametric study of ergonomic/device/regimen settings on musculoskeletal performance; 2) use of design tools such as optimization for decision support in arriving at the best program; and 3) scaffolded examination of linkage between form and function by iterative what-if type of analyses. We use two case studies (bicep-curling and motor rehabilitative driving) to highlight benefits of such simulation-based rehabilitation program evaluation.
- Subjects :
- Program evaluation
Decision support system
Engineering
Rehabilitation
business.industry
medicine.medical_treatment
Human factors and ergonomics
Virtual reality
Computer Science Applications
Simulation-based optimization
Control and Systems Engineering
Human–computer interaction
Software deployment
medicine
Electrical and Electronic Engineering
User interface
business
Simulation
Subjects
Details
- ISSN :
- 19410468 and 15523098
- Volume :
- 25
- Database :
- OpenAIRE
- Journal :
- IEEE Transactions on Robotics
- Accession number :
- edsair.doi...........27c34135407902033e8d74c835b2d76c