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：US11957913B2

公开(公告)日：2024-04-16

申请号：US18143206

申请日：2023-05-04

Applicant: Advanced Neuromodulation Systems, Inc.

Inventor： Simeng Zhang ,  Hyun-Joo Park ,  Filippo Agnesi ,  Yagna Pathak ,  Erika Ross

IPC: A61N1/36 ,  A61N1/05

CPC classification number: A61N1/36178 ,  A61N1/0551 ,  A61N1/36175 ,  A61N1/36071

Abstract: The present disclosure provides systems and methods for generating burst waveforms. An implantable neurostimulation system includes an implantable stimulation lead including a plurality of contacts, and an implantable pulse generator communicatively coupled to the stimulation lead. The pulse generator is configured to generate a waveform including a burst that includes a leading anodic pulse followed by alternating cathodic pulses and anodic pulses, each cathodic pulse in the burst having a greater amplitude than the previous cathodic pulse.

公开(公告)号：US20230173276A1

公开(公告)日：2023-06-08

申请号：US18074449

申请日：2022-12-02

Applicant: Advanced Neuromodulation Systems, Inc.

Inventor： Mingming Zhang ,  Erika Ross ,  Yagna Pathak ,  Kyuwan Choi ,  Hyun-Joo Park ,  Nishant Verma

IPC: A61N1/36 ,  A61N1/372

CPC classification number: A61N1/36139 ,  A61N1/37223 ,  A61N1/36178 ,  A61N1/36062

Abstract: Systems and methods are disclosed for conducting spinal cord stimulation or other neurostimulation and sensing evoked compound action potential (ECAP) signals. The sensed signals may be processed to isolate ECAP features from noise and/or interfering signals. The isolated ECAP features may be used to control neurostimulation therapy for the patient and/or guide an implant procedure.

公开(公告)号：US20230053982A1

公开(公告)日：2023-02-23

申请号：US17891056

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 Naivadekar ,  Dehan Zhu

IPC: A61N1/372 ,  A61N1/36 ,  G16H40/67 ,  G16H40/40

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：US20230053428A1

公开(公告)日：2023-02-23

申请号：US17891105

申请日：2022-08-18

Applicant: Advanced Neuromodulation Systems, Inc.

Inventor： Simeng Zhang ,  Yagna Pathak ,  Hyun-Joo Park

IPC: G16H20/30 ,  G16H40/67 ,  G16H50/20 ,  A61B5/00 ,  A61B5/11 ,  G06V40/20 ,  G06V10/82 ,  G06T19/00

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：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：US20200269053A1

公开(公告)日：2020-08-27

申请号：US16703176

申请日：2019-12-04

Applicant: ADVANCED NEUROMODULATION SYSTEMS, INC.

Inventor： Hyun-Joo Park

IPC: A61N1/36 ,  A61N1/05 ,  A61B5/00 ,  A61B34/10

Abstract: The present disclosure provides systems and methods for selecting contacts for use in deep brain stimulation (DBS). A computing device includes a processor and a memory device communicatively coupled to the processor. The memory device includes instructions that, when executed, cause the processor to apply a spatial filter to local field potential (LFP) recordings for a plurality of contacts of a DBS lead, calculate a power spectral density (PSD) for each contact from the filtered LFP for that contact, calculate a parametric approximation for each PSD, select at least one frequency band based on the parametric approximations, calculate a spectral coherency matrix for each of the at least one selected frequency band, and calculate an eigenvector centrality for each spectral coherency matrix to facilitate identifying a contact for stimulation.