公开(公告)号：US12109420B2

公开(公告)日：2024-10-08

申请号：US17091469

申请日：2020-11-06

Applicant: Advanced Neuromodulation Systems, Inc.

Inventor： Anahita Kyani ,  Jagatkumar Shah ,  Douglas Lautner ,  Ali Taheri ,  Simeng Zhang ,  Yagna Pathak ,  Erika Ross ,  Hyun-Joo Park

IPC: A61N1/00 ,  A61B5/0215 ,  A61N1/365

CPC classification number: A61N1/36564 ,  A61B5/0215

Abstract: Provided herein is a computing system for optimizing a waveform, in communication with an implantable pulse generator, and including a computing device including a memory device and a processor communicatively coupled to the memory device. The processor is configured to: retrieve historical waveform data associated with a plurality of waveforms used in therapeutic sessions for a plurality of patients, the historical waveform data including a plurality of waveform parameters; analyzing the historical waveform data to determine preferred waveform parameters; determining that a patient is starting a new therapeutic session using the patient therapeutic device; displaying each of the preferred waveform parameters; prompting the user to accept or modify the displayed waveform parameters; optimizing the waveform parameters for the therapeutic session; and transmitting the optimized waveform parameters to the patient therapeutic device to start the therapeutic session.

公开(公告)号：US12076552B2

公开(公告)日：2024-09-03

申请号：US17891078

申请日：2022-08-18

Applicant: Advanced Neuromodulation Systems, Inc.

Inventor： Mary Khun Hor-Lao ,  Binesh Balasingh ,  Scott DeBates ,  Douglas Alfred Lautner ,  Kyuwan Choi ,  Anahita Kyani ,  Erika Ross

IPC: A61N1/372 ,  A61B5/00 ,  A61B5/11 ,  A61N1/36 ,  G06F21/62 ,  G06T19/00 ,  G06V10/82 ,  G06V40/20 ,  G16H20/30 ,  G16H40/40 ,  G16H40/67 ,  G16H50/20 ,  G16H80/00 ,  H04N5/272 ,  H04N7/14

CPC classification number: A61N1/37282 ,  A61B5/1101 ,  A61B5/1114 ,  A61B5/1118 ,  A61B5/112 ,  A61B5/4082 ,  A61B5/742 ,  A61B5/7455 ,  A61N1/36135 ,  A61N1/37247 ,  A61N1/37264 ,  G06F21/6254 ,  G06T19/006 ,  G06V10/82 ,  G06V40/25 ,  G16H20/30 ,  G16H40/40 ,  G16H40/67 ,  G16H50/20 ,  G16H80/00 ,  H04N5/272 ,  H04N7/141 ,  A61N1/36067 ,  A61N1/36071 ,  A61N1/36132

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：US20230059718A1

公开(公告)日：2023-02-23

申请号：US17891063

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.

公开(公告)号：US20230054906A1

公开(公告)日：2023-02-23

申请号：US17891073

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

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：US20220202491A1

公开(公告)日：2022-06-30

申请号：US17135022

申请日：2020-12-28

Applicant: ADVANCED NEUROMODULATION SYSTEMS, INC.

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

IPC: A61B34/10 ,  G06K9/32 ,  G06K9/62 ,  G06T7/70 ,  G06T7/00 ,  A61B6/03 ,  A61B6/00 ,  A61B5/055 ,  G06N3/08 ,  G16H30/40

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：US20240382770A1

公开(公告)日：2024-11-21

申请号：US18782572

申请日：2024-07-24

Applicant: Advanced Neuromodulation Systems, Inc.

Inventor： Mary Khun Hor-Lao ,  Binesh Balasingh ,  Scott DeBates ,  Douglas Alfred Lautner ,  Kyuwan Choi ,  Anahita Kyani ,  Erika Ross

IPC: A61N1/372 ,  A61B5/00 ,  A61B5/11 ,  A61N1/36 ,  G06F21/62 ,  G06T11/00 ,  G06T19/00 ,  G06V10/82 ,  G06V40/20 ,  G16H20/30 ,  G16H40/40 ,  G16H40/67 ,  G16H50/20 ,  G16H80/00 ,  H04N5/272 ,  H04N7/14

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：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：US20230218900A1

公开(公告)日：2023-07-13

申请号：US17574542

申请日：2022-01-12

Applicant: Advanced Neuromodulation Systems, Inc.

Inventor： Hyun-Joo Park ,  Yagna Pathak ,  Hongxuan Zhang ,  Anahita Kyani ,  Erika Ross ,  Jeffrey Urbanski

IPC: A61N1/36 ,  A61N1/375

CPC classification number: A61N1/36071 ,  A61N1/36062 ,  A61N1/36139 ,  A61N1/375

Abstract: Devices and methods to effectuate closed loop electrical stimulation of nerve tissue, based on feedback data, to mitigate pain of a patient are disclosed. Feedback data corresponding to bioelectric signals of neurons stimulated by stimulation pulses may be received and analyzed. Based on receipt of the feedback data, it may be determined to modify one or more stimulation parameters, corresponding to the stimulation pulses, to enhance an efficacy of the stimulation pulses at blocking generation and/or propagation of one or more pain signals through a neuroanatomy of the patient. Subsequent and additional stimulation pulses may be provided based on a modified set of stimulation parameters and configured to enhance attenuation of generation and/or transmission of pain signals through the neuroanatomy of the patient to ultimately reduce a level of pain experienced by the patient.

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.