SYSTEMS AND METHODS FOR DECODING INTENDED MOTOR COMMANDS FROM RECORDED NEURAL SIGNALS FOR THE CONTROL OF EXTERNAL DEVICES OR TO INTERACT IN VIRTUAL ENVIRONMENTS
Patent №
US 9,717,440
Granted
2017-08-01
Filed 2014
Owner
THE FLORIDA INTERNATIONAL UNIVERSITY BOARD OF TRUSTEES
Lab
—
AI components
3
ml · speech · hardware
Assignment
Recorded
Dataset
AIPD
2023_r1 edition
Application
14270016
Systems and methods for decoding neural and/or electromyographic signals are provided. A system can include at least one single channel decoder. Optionally, the system can include a demixer in operable communication with the single channel decoders. Each single channel decoder can include a filter to attenuate noise and sharpen spikes in the neural and/or electromyographic signals, a detection function to identify spikes, and a demodulator to get a real-time estimate of motor intent.
AI classification
Ownership
THE FLORIDA INTERNATIONAL UNIVERSITY BOARD OF TRUSTEES
assignment · 344780440
Assignors
ABDELGHANI, MOHAMED, JUNG, RANU, ABBAS, JAMES J., HORCH, KENNETH
On an employer assignment, the assignors are typically the inventors.