Augmented and virtual reality for use with neuromodulation therapy

US11559355B2 · US · B2

Patent metadata
FieldValue
Publication numberUS-11559355-B2
Application numberUS-201916443562-A
CountryUS
Kind codeB2
Filing dateJun 17, 2019
Priority dateJul 30, 2018
Publication dateJan 24, 2023
Grant dateJan 24, 2023

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  1. Title

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  2. Abstract

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  3. Assignees and inventors

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  4. Key dates

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  5. First independent claim

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  6. CPC / IPC classifications

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  7. Citations and related patents

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Abstract

Official abstract text for this publication.

A virtual or augmented reality system is disclosed which is capable of both (i) evaluating prospective implantable neurostimulator patient candidates, and (ii) determining optimal stimulation settings for already-implanted neurostimulation patients. Physiological sensors are included with the system to provide objective measurements relevant to a patient's symptoms, such as pain in a Spinal Cord Stimulation (SCS) system. Such objective measurements are determined during the presentation of various virtual or augmented environments, and can be useful to determining which patients are suitable candidates to consider for implantation. Stimulation settings for already-implanted patients may be adjusted while presenting a virtual or augmented environment to the patient, with objective measurements being determined for each stimulation setting. Such objective measurements can then be used to determine optimal stimulation settings for the patient.

First claim

Opening claim text (preview).

What is claimed is: 1. A method for assessing the suitability of a candidate patient for neurostimulation therapy, comprising: presenting from a computer device one or more virtual environments to the candidate patient, wherein at least one of the one or more virtual environments comprises an image of a neurostimulator implant procedure; receiving at the computer device one or more physiological measurements taken from the candidate patient in response to each one of the one or more virtual environments; and determining at the computer device a composite response score based on the one or more physiological measurements; wherein the composite response score is useful for determining whether the candidate patient is a suitable candidate for neurostimulation therapy. 2. The method of claim 1 , wherein determining the composite response score comprises determining a virtual environment response score for each virtual environment using the one or more physiological measurements taken from the candidate patient in response to that virtual environment, and using the virtual environment response scores to determine the composite response score. 3. The method of claim 1 , wherein the virtual environment is presented to the candidate patient using a headset. 4. The method of claim 1 , wherein the virtual environment is presented to the candidate patient using a virtual reality room. 5. The method of claim 1 , further comprising determining at the computer device whether the candidate patient is a suitable candidate for neurostimulation therapy based on the composite response score. 6. The method of claim 5 , wherein determining at the computer device whether the candidate patient is a suitable candidate for neurostimulation therapy comprises comparing the composite response score to a threshold. 7. The method of claim 1 , wherein the one or more physiological measurements are taken from the candidate patient using one or more physiological sensors associated with the patient. 8. The method of claim 7 , wherein the one or more physiological sensors comprise one or more of a heart sensor, a blood pressure sensor, a galvanic skin response sensor, a respiration rate sensor, an electrocardiogram sensor, a chemical sensor, a neurological sensor, an eye sensor, a temperature sensor, or a motion sensor. 9. The method of claim 1 , wherein at least one of the one or more virtual environments comprises an image of a person performing an activity. 10. The method of claim 1 , wherein at least one of the one or more virtual environments comprises an image relevant to a physiological condition of the candidate patient. 11. The method of claim 1 , wherein at least one of the one or more virtual environments comprises an image designed to elicit a movement response from the candidate patient. 12. The method of claim 1 , wherein the neurostimulation therapy comprises spinal cord stimulation therapy. 13. The method of claim 1 , wherein the computing device comprises a clinician programmer configured to communicate with a neurostimulator device. 14. A non-transitory computer readable media including instruction executable on a computer device, wherein the instructions when executed are configured to assess the suitability of a candidate patient for neurostimulation therapy by: presenting from the computer device one or more virtual environments to the candidate patient, wherein at least one of the one or more virtual environments comprises one or more of (i) an image of a neurostimulator implant procedure, or (ii) an image indicative of pain in a person; receiving at the computer device one or more physiological measurements taken from the candidate patient in response to each one of the one or more virtual environments; and determining at the computer device a composite response score based on the one or more physiological measurements; wherein the composite response score is useful for determining whether the candidate patient is a suitable candidate for neurostimulation therapy. 15. A method for assessing the suitability of a candidate patient for neurostimulation therapy, comprising: presenting from a computer device one or more virtual environments to the candidate patient, wherein at least one of the one or more virtual environments comprises an image indicative of pain in a person; receiving at the computer device one or more physiological measurements taken from the candidate patient in response to each one of the one or more virtual environments; and determining at the computer device a composite response score based on the one or more physiological measurements; wherein the composite response score is useful for determining whether the candidate patient is a suitable candidate for neurostimulation therapy. 16. The method of claim 15 , wherein at least one of the one or more virtual environments further comprises an image of neurostimulation therapy being applied to the person and a decrease of the pain in the image indicative of pain in the person. 17. The method of claim 15 , wherein determining the composite response score comprises determining a virtual environment response score for each virtual environment using the one or more physiological measurements taken from the candidate patient in response to that virtual environment, and using the virtual environment response scores to determine the composite response score. 18. The method of claim 15 , further comprising determining at the computer device whether the candidate patient is a suitable candidate for neurostimulation therapy based on the composite response score. 19. The method of claim 15 , wherein the neurostimulation therapy comprises spinal cord stimulation therapy. 20. The method of claim 15 , wherein the computing device comprises a clinician programmer configured to communicate with a neurostimulator device.

Assignees

Inventors

Classifications

  • Electroencephalography [EEG] · CPC title

  • Measuring movement of the entire body or parts thereof, e.g. head or hand tremor or mobility of a limb {(A61B5/1038 takes precedence; motion detection to correct for motion artifacts in physiological signals A61B5/721)} · CPC title

  • by spectroscopy, i.e. measuring spectra, e.g. Raman spectroscopy, infrared absorption spectroscopy (A61B5/0071 takes precedence) · CPC title

  • Heart-related electrical modalities, e.g. electrocardiography [ECG] · CPC title

  • using chemical or electrochemical methods, e.g. by polarographic means · CPC title

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What does patent US11559355B2 cover?
A virtual or augmented reality system is disclosed which is capable of both (i) evaluating prospective implantable neurostimulator patient candidates, and (ii) determining optimal stimulation settings for already-implanted neurostimulation patients. Physiological sensors are included with the system to provide objective measurements relevant to a patient's symptoms, such as pain in a Spinal Cor…
Who is the assignee on this patent?
Boston Scient Neuromodulation Corp
What technology area does this patent fall under?
Primary CPC classification A61B34/10. Mapped technology areas include Human Necessities.
When was this patent published?
Publication date Tue Jan 24 2023 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).