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：US20220143410A1

公开(公告)日：2022-05-12

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: A61N1/365 ,  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：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：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.