Smart Prosthetic Hand Technology - Phase 2
Abstract
The present Phase II of Smart Prosthetic Hand Technology focuses on the four closely connected areas of EMG signal identification and estimation, hand motion estimation, intelligent embedded systems and control, robotic hand and biocompatibility and signaling. The developed identification algorithm using a new sensor array, a proposed hybrid estimation algorithm will provide for the decomposition and inference of multiple signals. Different categories of amputation level will be simulated and the identification of EMG signals will be tested and adapted to these different cases. Next, the proposed sensing and actuation system for the artificial hand overcomes the limitations on dexterous manipulation of the prosthetic hands. Strategies on grasping and manipulation will be developed to complement the myoelectric signals. The proposed fusion of soft and hard embedded control systems strategy will alleviate the present problems associated with prosthetic devices. Finally, by investigating into the issues of the inflammatory responses of cells/tissues in response to an artificial implant and the interference with signaling of the artificial implant, the design of our in-vitro model will ultimately improve the design and construct a functional and biocompatible artificial limb.
Document Details
- Document Type
- Technical Report
- Publication Date
- May 01, 2011
- Accession Number
- ADA627663
Entities
People
- Alba Perez
- Desineni S. Naidu
- Jim Creelman
- Jim Lai
- Marco P. Schoen
- Solomon Leung
- Steve Chiu
Organizations
- Idaho State University