Prosthetic Hand Technology-Phase II

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 provides for the decomposition and inference of multiple signals. Different categories of amputation level are simulated and the identification of EMG signals is 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 are developed to complement the myoelectric signals. The proposed fusion of soft and hard embedded control systems strategy alleviates 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 ultimately improves the design and construction of a functional and biocompatible artificial limb.

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Document Details

Document Type
Technical Report
Publication Date
Feb 01, 2013
Accession Number
ADA622000

Entities

People

  • Desineni S. Naidu

Organizations

  • Idaho State University

Tags

Communities of Interest

  • Advanced Electronics
  • Autonomy
  • Cyber
  • Energy and Power Technologies
  • Sensors
  • Space
  • Weapons Technologies

DTIC Thesaurus Topics

  • Brain
  • Cells
  • Chemical Synthesis
  • Chemistry
  • Cognitive Science
  • Computational Science
  • Health Services
  • Medical Personnel

Readers

  • Nanocomposite Materials Science
  • Neural Network Machine Learning.
  • Robotics and Automation.

Technology Areas

  • AI & ML
  • Autonomy
  • Autonomy - Autonomous System Control