Brain machine interface

US8792976B2 · kind B2 · utility

Assignee

• The Board of Trustees of the Leland Stanford Junior University · US

Inventors

• Vikash Gilja · San Francisco, US
• Paul Nuyujukian · Stanford, US
• Cynthia Anne Chestek · Ann Arbor, US
• John Cunningham · Saratoga Springs, US
• Byron M. Yu · San Jose, US
• Stephen I Ryu · Menlo Park, US
• Krishna V. Shenoy · Palo Alto, US

Key dates

• Filing date: Feb 17, 2011
• Grant date: Jul 29, 2014
• Expiry date: Sep 13, 2031

Classification

• Technology area (CPC A): Human Necessities
• CPC primary: A61F2002/704
• WIPO field: Medical technology
• WIPO sector: Instruments

Abstract

Artificial control of a prosthetic device is provided. A brain machine interface contains a mapping of neural signals and corresponding intention estimating kinematics (e.g. positions and velocities) of a limb trajectory. The prosthetic device is controlled by the brain machine interface. During the control of the prosthetic device, a modified brain machine interface is developed by modifying the vectors of the velocities defined in the brain machine interface. The modified brain machine interface includes a new mapping of the neural signals and the intention estimating kinematics that can now be used to control the prosthetic device using recorded neural brain signals from a user of the prosthetic device. In one example, the intention estimating kinematics of the original and modified brain machine interface includes a Kalman filter modeling velocities as intentions and positions as feedback.