A System for Decoding Intended Motor Commands from Recorded Neural Signals for the Control of Powered Devices or to Interact in Virtual Environments


Florida International University (FIU) is pursuing business partners interested in developing and commercializing A System for Decoding Intended Motor Commands from Recorded Neural Signals for the Control of Powered Devices or to Interact in Virtual Environments. This technology provides a system of methods embodied in a novel decoder which will translate neural activity into motor intent output.

FIU inventors are designing and developing a system that will enhance the level of functioning provided by prosthetic limbs. Commercially available prostheses employ electromyogram (EMG) signals recorded from muscle tissues in residual limbs in order to infer motor intent of the user.

Continuing research and development has shown that peripheral nerve activity of human amputees can serve as an alternative to EMG signals. Peripheral nerve activity can be recorded using longitudinal intrafasicular electrodes (LIFE) in order to provide control of a one degree of freedom robotic arm.

FIU inventors are interested in using LIFEs to record peripheral nerve activity in order to provide multiple degrees of freedom control of prostheses. A task that has not been achieved by any of the methods developed so far.

  • Control of neural prostheses and neural driven appliances.
  • Ability to use decoded signals to interact with virtual environments (e.g. computers).
  • Neural interfaces capable of recording nerve activity for control of prostheses.
  • A model system to assess motor and neuron function during nerve stimulation and regional anesthesia application.
  • As a means to decode electromyogram (EMG) and electroencephalogram (EEG) activity for the purpose of control of powered appliances.
  • Allows for real-time operation.
  • Implemented in a portable, low power configuration.
  • Capable of interpreting signals from a single or multiple electrodes enabling single or multiple degree of freedom control of a powered prosthesis.
  • Capable of decoding neural activity in which the intended motor action consists of the intended class of action and the intended degree of action.
  • Provides a unique architecture capable of decoding neural activity from multi-electrode arrays that interface with the central or peripheral nervous system and can be used to decode neural signals from multiple neural interfaces such as point electrodes, longitudinal or transverse intrafasicular electrodes, CUFF electrodes, multi-electrode, etc.
  • Decodes electromyogram activity of muscles and a variety of neural intents.

For additional information about this technology opportunity, please contact Shantanu Balkundi at sbalkund@fiu.edu or by phone at 305-348-0008 and ask about record IP 1311