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.

Machine learningSpeechAI hardwareA61F 2/72A61B 5/24A61B 5/369A61B 5/389A61B 5/4851A61B 5/7203G06F 3/015A61F 2/54

AI classification

Speech1.00
AI hardware0.95
Machine learning0.95
Vision0.00
Evolutionary computation0.00
Knowledge representation0.00
Natural language0.00
Planning0.00

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.

© 2026 NYSGPT2525 LLC