Simulation and diagnostic tool for sensorimotor diseases

US10349859B2 · US · B2

Patent metadata
FieldValue
Publication numberUS-10349859-B2
Application numberUS-201715622953-A
CountryUS
Kind codeB2
Filing dateJun 14, 2017
Priority dateJun 14, 2017
Publication dateJul 16, 2019
Grant dateJul 16, 2019

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Abstract

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Computational models and methods and systems of using the model to estimate variable time delay in the sensorimotor system of a subject are provided. The computational model can estimate variable time delays in the sensorimotor system, predict sensory states based on delayed sensory feedback, and/or control the system in real time. The subject can be a human or a primate. Simulation experiments can show how the model can explain a sensorimotor system's ability to compensate for delays during online learning and control.

First claim

Opening claim text (preview).

What is claimed is: 1. A method of estimating time delay of a sensorimotor control system in a subject, comprising: obtaining Jacobian matrices that respectively describe sensory states G(t) and motor control B(t) of the system; obtaining a control vector u(t) describing neural motor commands from a neural network of the subject that dictate a desired motion or task of a muscle of the subject, the desired motion or task being described by a reference trajectory r(t); computing a delayed sensory state of the system, described by vector x(t−τ) using the values of G(t), B(t), and u(t); estimating, based on G(t), B(t), x(t−τ), and u(t), a time delay {circumflex over (τ)} of the system for performing the desired motion; and improving a condition of the subject by stimulating sensory neurons of the subject through transmission, via a transmitting device, of a visual stimulation signal to the sensory neurons of the subject, the visual stimulation signal being generated based upon the estimated time delay, and the visual stimulation signal increasing a speed of the sensory neurons of the subject, the computing of the delayed sensory state vector x(t−τ) comprising the use of the following equation: x ⁡ ( t - τ ) = G ⁡ ( t - τ ) ⁢ x 0 + G ⁡ ( t - τ ) ⁢ ∫ 0 t - τ ⁢ G - 1 ⁡ ( s ) ⁢ B ⁡ ( s ) ⁢ u ⁡ ( s ) ⁢ ds where x 0 is an initial sensory state, and where t is time and τ is the actual time delay. 2. A method of estimating time delay of a sensorimotor control system in a subject, comprising: obtaining Jacobian matrices that respectively describe sensory states G(t) and motor control B(t) of the system; obtaining a control vector u(t) describing neural motor commands from a neural network of the subject that dictate a desired motion or task of a muscle of the subject, the desired motion or task being described by a reference trajectory r(t); computing, based on G(t), B(t), and u(t), a delayed sensory state of the system, described by vector x(t−τ); estimating a time delay {circumflex over (τ)} of the system for performing the desired motion; and improving a condition of the subject by stimulator sensor neurons of the subject through transmission, via a transmitting device, of a visual stimulation signal to the sensory neurons of the subject, the visual stimulation signal being generated based upon the estimated time delay, and the visual stimulation signal increasing a speed of the sensory neurons of the subject, the estimating of the time delay comprising the use of the following equation: d ⁢ ⁢ τ ^ d ⁢ ⁢ t = ηζ ⁢ ∂ G ⁡ ( t - τ ^ ) ∂ τ ^ ⁡ [ x 0 + ∫ 0 t - τ ^ ⁢ ( B ⁡ ( s ) / G ⁡ ( s )

Assignees

Inventors

Classifications

  • A61B5/378Primary

    Visual stimuli · CPC title

  • A61B5/0476Primary

    Human Necessities · mapped topic

  • ICT specially adapted for the handling or processing of medical images (computed tomography A61B6/03) · CPC title

  • Brain · CPC title

  • using correlation, e.g. template matching or determination of similarity · CPC title

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What does patent US10349859B2 cover?
Computational models and methods and systems of using the model to estimate variable time delay in the sensorimotor system of a subject are provided. The computational model can estimate variable time delays in the sensorimotor system, predict sensory states based on delayed sensory feedback, and/or control the system in real time. The subject can be a human or a primate. Simulation experiments…
Who is the assignee on this patent?
Sargolzaei Arman, Abdelghani Mohamed, Yen Kang K, and 2 more
What technology area does this patent fall under?
Primary CPC classification A61B5/378. Mapped technology areas include Human Necessities.
When was this patent published?
Publication date Tue Jul 16 2019 00:00:00 GMT+0000 (Coordinated Universal Time) (B2). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 8 related publications on this page (citations in our corpus or others sharing the same primary CPC).