1 / 5

Jicheng Fu, PhD; Maria Jones, PT, PhD; Yih-Kuen Jan, PT, PhD

Development of intelligent model for personalized guidance on wheelchair tilt and recline usage for people with spinal cord injury: Methodology and preliminary report. Jicheng Fu, PhD; Maria Jones, PT, PhD; Yih-Kuen Jan, PT, PhD. Aim

lucius-farmer
Download Presentation

Jicheng Fu, PhD; Maria Jones, PT, PhD; Yih-Kuen Jan, PT, PhD

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Development of intelligent model for personalized guidance on wheelchair tilt and recline usage for people with spinal cord injury: Methodology and preliminary report Jicheng Fu, PhD; Maria Jones, PT, PhD; Yih-Kuen Jan, PT, PhD

  2. Aim • Demonstrate feasibility of using machine learning techniques to construct intelligent model to provide personalized guidance for individuals with spinal cord injury (SCI). • Relevance • Clinical evidence shows that SCI individuals’ requirements vary greatly. Hence, no universal guidance on tilt and recline usage could possibly satisfy all individuals with SCI.

  3. Method • Explored ways of modeling research participants. • Used machine learning techniques to construct the intelligent model. • Evaluated the intelligent model’s performance. • Further improved the intelligent model’s prediction accuracy by developing a two-phase feature selection algorithm to identify important attributes.

  4. Results • Results demonstrated that our approaches were able to: • Effectively construct an intelligent model • Classify whether a given tilt and recline setting would be favorable for skin blood flow increase for an SCI individual, i.e., personalized guidance • Evaluate its performance. • Refine the participant model to significantly improve the intelligent model’s prediction accuracy.

  5. Conclusion • Our study demonstrated the feasibility of using machine learning techniques to construct an intelligent model to provide personalized guidance on wheelchair tilt and recline usage to individuals with SCI. • The intelligent model achieved satisfactory accuracy by considering participants attributes that can be easily obtained without advanced clinical devices.

More Related