公开(公告)号：US20240216686A1

公开(公告)日：2024-07-04

申请号：US18608885

申请日：2024-03-18

Applicant: Advanced Neuromodulation Systems, Inc.

Inventor： Simeng Zhang ,  Hyun-Joo Park ,  Erika Ross

IPC: A61N1/36 ,  A61N1/04 ,  A61N1/06 ,  A61N1/32

CPC classification number: A61N1/36034 ,  A61N1/0456 ,  A61N1/0492 ,  A61N1/06 ,  A61N1/323

Abstract: A noninvasive/minimally invasive neuromodulation system and method for providing therapy to a target neural tissue of a patient. In one arrangement, an example method comprises applying at least two input waveforms to respective pairs of electrodes affixed on the patient's skin or subcutaneously disposed relative to the target neural tissue, wherein the frequencies of the input waveforms are configured such that they combine, when simultaneously applied, to generate a beat waveform having a beat frequency due to interference. The beat waveform is causative of a transcutaneous/subcutaneous temporal interference (T/STI) electric field generated in the patient body, the T/STI electric field including an interference region at least partially overlapping the target neural tissue of the patient, wherein the beat frequency is of a value operative to impart a therapeutic effect to the target neural tissue.

公开(公告)号：US20230414288A1

公开(公告)日：2023-12-28

申请号：US18242888

申请日：2023-09-06

Applicant: Advanced Neuromodulation Systems, Inc.

Inventor： Yagna Pathak ,  Simeng Zhang ,  Dehan Zhu ,  Anahita Kyani ,  Hyun-Joo Park ,  Erika Ross

IPC: A61B34/10 ,  G06T7/70 ,  G16H30/40 ,  G06V10/25 ,  A61B5/055 ,  A61B6/03 ,  A61B6/00 ,  G06N3/08 ,  G06T7/00 ,  G06F18/214

CPC classification number: A61B34/10 ,  G06T7/70 ,  G16H30/40 ,  G06V10/25 ,  A61B5/055 ,  A61B6/032 ,  A61B6/469 ,  A61B6/501 ,  A61B6/5223 ,  A61B6/5247 ,  G06N3/08 ,  G06T7/0014 ,  G06F18/214 ,  A61B2034/107 ,  G06V2201/031 ,  A61B2505/05 ,  A61N1/0534

Abstract: A system and method for facilitating DBS electrode trajectory planning using a machine learning (ML)-based feature identification scheme configured to identify and distinguish between various regions of interest (ROIs) and regions of avoidance (ROAs) in a patient's brain scan image. In one arrangement, standard orientation image slices as well as re-sliced images in non-standard orientations are provided in a labeled input dataset for training a CNN/ANN for distinguishing between ROIs and ROAs. Upon identification of the ROIs and ROAs in the patient's brain scan image, an optimal trajectory for implanting a DBS lead may be determined relative to a particular ROI while avoiding any ROAs.

公开(公告)号：US20230059282A1

公开(公告)日：2023-02-23

申请号：US17891071

申请日：2022-08-18

Applicant: Advanced Neuromodulation Systems, Inc.

Inventor： Yagna Pathak ,  Simeng Zhang ,  Diane Whitmer ,  Anahita Kyani ,  Hyun-Joo Park ,  Erika Ross ,  David Page ,  Ameya Nanivadekar ,  Dehan Zhu

IPC: G16H80/00

Abstract: The present disclosure is directed to providing digital health services. In some embodiments, systems and methods for conducting virtual or remote sessions between patients and clinicians are disclosed. During the sessions, media content (e.g., images, video content, audio content, etc.) may be captured as the patient performs one or more tasks. The media content may be presented to the clinician and used to evaluate a condition of the patient or a state of the condition, adjust treatment parameters, provide therapy, or other operations to treat the patient. The analysis of the media content may be aided by one or more machine learning/artificial intelligence models that analyze various aspects of the media content, augment the media content, or other functionality to aid in the treatment of the patient.

公开(公告)号：US20220175458A1

公开(公告)日：2022-06-09

申请号：US17113385

申请日：2020-12-07

Applicant: Advanced Neuromodulation Systems, Inc.

Inventor： Yagna Pathak ,  Hyun-Joo Park ,  Simeng Zhang ,  Anahita Kyani ,  Erika Ross ,  Dehan Zhu ,  Douglas Lautner

IPC: A61B34/20 ,  G06K9/46 ,  G06K9/62 ,  G06T7/73 ,  A61N1/05 ,  G16H30/40 ,  G16H20/40 ,  G16H50/20

Abstract: The present disclosure provides systems and methods for estimating an orientation of an implanted deep brain stimulation (DBS) lead. Such methods include generating an initial image dataset, down-sampling a respective image or adding noise to images of the subset of the initial image dataset, and re-slicing at least a subset of the modified image dataset along an alternative primary imaging axis, to generate an integrated image dataset. The method also include partitioning the integrated image dataset into a preliminary training image dataset and a testing image dataset, and re-sizing at least a subset of the preliminary training image dataset with a localized field of view around a depicted DBS lead, to generate a training image dataset. The method further includes training a machine-learning model using the training image dataset, and executing the trained machine-learning model to estimate, during a DBS implantation procedure, an orientation of a subject implanted DBS lead.

公开(公告)号：US20230240760A1

公开(公告)日：2023-08-03

申请号：US18131131

申请日：2023-04-05

Applicant: Advanced Neuromodulation Systems, Inc.

Inventor： Yagna Pathak ,  Hyun-Joo Park ,  Simeng Zhang ,  Anahita Kyani ,  Erika Ross ,  Dehan Zhu ,  Douglas Lautner

IPC: A61B34/20 ,  G06T7/73 ,  A61N1/05 ,  G16H30/40 ,  G16H20/40 ,  G16H50/20 ,  G06V10/40 ,  G06F18/214

CPC classification number: A61B34/20 ,  G06T7/73 ,  A61N1/0534 ,  G16H30/40 ,  G16H20/40 ,  G16H50/20 ,  G06V10/40 ,  G06F18/2148 ,  A61B2090/374

Abstract: The present disclosure provides systems and methods for estimating an orientation of an implanted deep brain stimulation (DBS) lead. Such methods include generating an initial image dataset, down-sampling a respective image or adding noise to images of the subset of the initial image dataset, and re-slicing at least a subset of the modified image dataset along an alternative primary imaging axis, to generate an integrated image dataset. The method also include partitioning the integrated image dataset into a preliminary training image dataset and a testing image dataset, and re-sizing at least a subset of the preliminary training image dataset with a localized field of view around a depicted DBS lead, to generate a training image dataset. The method further includes training a machine-learning model using the training image dataset, and executing the trained machine-learning model to estimate, during a DBS implantation procedure, an orientation of a subject implanted DBS lead.

公开(公告)号：US11648063B2

公开(公告)日：2023-05-16

申请号：US17113385

申请日：2020-12-07

Applicant: Advanced Neuromodulation Systems, Inc.

Inventor： Yagna Pathak ,  Hyun-Joo Park ,  Simeng Zhang ,  Anahita Kyani ,  Erika Ross ,  Dehan Zhu ,  Douglas Lautner

IPC: A61B8/00 ,  A61B34/20 ,  G06K9/62 ,  G06T7/73 ,  A61N1/05 ,  G16H30/40 ,  G16H20/40 ,  G16H50/20 ,  G06V10/40 ,  A61B90/00

CPC classification number: A61B34/20 ,  A61N1/0534 ,  G06K9/6257 ,  G06T7/73 ,  G06V10/40 ,  G16H20/40 ,  G16H30/40 ,  G16H50/20 ,  A61B2034/2065 ,  A61B2090/374 ,  A61B2090/3762 ,  G06T2207/10064 ,  G06T2207/10081 ,  G06T2207/10088 ,  G06T2207/20021 ,  G06T2207/20081 ,  G06T2207/20084 ,  G06T2207/30016 ,  G06V2201/031

Abstract: The present disclosure provides systems and methods for estimating an orientation of an implanted deep brain stimulation (DBS) lead. Such methods include generating an initial image dataset, down-sampling a respective image or adding noise to images of the subset of the initial image dataset, and re-slicing at least a subset of the modified image dataset along an alternative primary imaging axis, to generate an integrated image dataset. The method also include partitioning the integrated image dataset into a preliminary training image dataset and a testing image dataset, and re-sizing at least a subset of the preliminary training image dataset with a localized field of view around a depicted DBS lead, to generate a training image dataset. The method further includes training a machine-learning model using the training image dataset, and executing the trained machine-learning model to estimate, during a DBS implantation procedure, an orientation of a subject implanted DBS lead.

公开(公告)号：US20230056291A1

公开(公告)日：2023-02-23

申请号：US17891098

申请日：2022-08-18

Applicant: Advanced Neuromodulation Systems, Inc.

Inventor： Mary Khun Hor-Lao ,  Binesh Balasingh ,  Scott DeBates ,  Douglas Alfred Lautner ,  Yagna Pathak ,  Simeng Zhang ,  Diane Whitmer ,  Anahita Kyani ,  Hyun-Joo Park ,  Erika Ross ,  David Page ,  Ameya Nanivadekar ,  Dehan Zhu

IPC: G16H40/67 ,  G16H80/00 ,  G16H50/20 ,  A61B5/00 ,  A61B5/11

Abstract: The present disclosure is directed to providing digital health services. In some embodiments, systems and methods for conducting virtual or remote sessions between patients and clinicians are disclosed. During the sessions, media content (e.g., images, video content, audio content, etc.) may be captured as the patient performs one or more tasks. The media content may be presented to the clinician and used to evaluate a condition of the patient or a state of the condition, adjust treatment parameters, provide therapy, or other operations to treat the patient. The analysis of the media content may be aided by one or more machine learning/artificial intelligence models that analyze various aspects of the media content, augment the media content, or other functionality to aid in the treatment of the patient.

公开(公告)号：US20230055984A1

公开(公告)日：2023-02-23

申请号：US17891096

申请日：2022-08-18

Applicant: Advanced Neuromodulation Systems, Inc.

Inventor： Mary Khun Hor-Lao ,  Binesh Balasingh ,  Scott DeBates ,  Douglas Alfred Lautner ,  Yagna Pathak ,  Simeng Zhang ,  Diane Whitmer ,  Anahita Kyani ,  Hyun-Joo Park ,  Erika Ross ,  David Page ,  Ameya Nanivadekar ,  Dehan Zhu

IPC: G16H40/67 ,  G16H80/00 ,  G16H50/20 ,  A61B5/11 ,  A61B5/00

Abstract: The present disclosure is directed to providing digital health services. In some embodiments, systems and methods for conducting virtual or remote sessions between patients and clinicians are disclosed. During the sessions, media content (e.g., images, video content, audio content, etc.) may be captured as the patient performs one or more tasks. The media content may be presented to the clinician and used to evaluate a condition of the patient or a state of the condition, adjust treatment parameters, provide therapy, or other operations to treat the patient. The analysis of the media content may be aided by one or more machine learning/artificial intelligence models that analyze various aspects of the media content, augment the media content, or other functionality to aid in the treatment of the patient.

公开(公告)号：US20230054261A1

公开(公告)日：2023-02-23

申请号：US17891102

申请日：2022-08-18

Applicant: Advanced Neuromodulation Systems, Inc.

Inventor： Mary Khun Hor-Lao ,  Binesh Balasingh ,  Scott DeBates ,  Douglas Alfred Lautner ,  Yagna Pathak ,  Simeng Zhang ,  Diane Whitmer ,  Anahita Kyani ,  Hyun-Joo Park ,  Erika Ross ,  David Page ,  Ameya Nanivadekar ,  Dehan Zhu

IPC: A61N1/372 ,  H04N7/14 ,  A61N1/36

Abstract: The present disclosure is directed to providing digital health services. In some embodiments, systems and methods for conducting virtual or remote sessions between patients and clinicians are disclosed. During the sessions, media content (e.g., images, video content, audio content, etc.) may be captured as the patient performs one or more tasks. The media content may be presented to the clinician and used to evaluate a condition of the patient or a state of the condition, adjust treatment parameters, provide therapy, or other operations to treat the patient. The analysis of the media content may be aided by one or more machine learning/artificial intelligence models that analyze various aspects of the media content, augment the media content, or other functionality to aid in the treatment of the patient.

公开(公告)号：US20230053914A1

公开(公告)日：2023-02-23

申请号：US17891074

申请日：2022-08-18

Applicant: Advanced Neuromodulation Systems, Inc.

Inventor： Mary Khun Hor-Lao ,  Binesh Balasingh ,  Scott DeBates ,  Douglas Alfred Lautner ,  Yagna Pathak ,  Simeng Zhang ,  Diane Whitmer ,  Anahita Kyani ,  Hyun-Joo Park ,  Erika Ross ,  David Page ,  Ameya Nanivadekar ,  Dehan Zhu

IPC: A61N1/372 ,  A61N1/36 ,  G16H40/67

Abstract: The present disclosure is directed to providing digital health services. In some embodiments, systems and methods for conducting virtual or remote sessions between patients and clinicians are disclosed. During the sessions, media content (e.g., images, video content, audio content, etc.) may be captured as the patient performs one or more tasks. The media content may be presented to the clinician and used to evaluate a condition of the patient or a state of the condition, adjust treatment parameters, provide therapy, or other operations to treat the patient. The analysis of the media content may be aided by one or more machine learning/artificial intelligence models that analyze various aspects of the media content, augment the media content, or other functionality to aid in the treatment of the patient.