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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.
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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.
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公开(公告)号:US11521754B2
公开(公告)日:2022-12-06
申请号:US16900202
申请日:2020-06-12
Applicant: ADVANCED NEUROMODULATION SYSTEMS, INC.
Inventor: Scott DeBates , Douglas Alfred Lautner , Tucker Tomlinson , Andrew Csavoy , Yagna Pathak
IPC: G16H80/00 , G16H20/30 , G16H40/67 , G16H10/60 , A61N1/372 , H04L43/04 , H04L65/1069 , H04L65/80 , H04N7/14 , A61B5/00
Abstract: A system and method for modulating delivery of remote therapy to a patient having an implantable medical device (IMD). Upon establishing a remote care session between a patient controller device and a clinician programmer, wherein the clinician and the patient are remotely located with respect to each other, a determination may be made if a first triggering event is detected. Responsive to the determination, a remote therapy session used for programming the patient's IMD is paused and one or more remote care therapy setting controls provided at the clinician programmer device to facilitate one or more adjustments with respect to the patient's IMD are disabled. Subsequently, responsive to detecting a second triggering event, the remote therapy session with the patient may be resumed, wherein the one or more remote care therapy setting controls of the clinician programmer device are enabled.
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4.
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
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.
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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
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.
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6.
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
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.
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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
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.
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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
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.
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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.
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公开(公告)号:US20240017075A1
公开(公告)日:2024-01-18
申请号:US18221373
申请日:2023-07-12
Applicant: Advanced Neuromodulation Systems, Inc.
Inventor: Hyun-Joo Park , Yagna Pathak
IPC: A61N1/36
CPC classification number: A61N1/36189 , A61N1/36139 , A61N1/36071
Abstract: Devices and methods to effectuate waveform distortion adjusted stimulation therapy of tissue, based on an inverse model of the tissue, are disclosed. In some aspects a linear model of an electrode used to delivery therapy and of the tissue is determined. Parameter values of the linear model may be determined based on measuring voltage feedback during application of stimulation and/or measurement waveforms. The parameter values of the linear model of the electrode and tissue may be used to determine a forward model of the electrical response of the tissue. From the forward model, an inverse model of the tissue may be determined and the inverse model can be used to modify or filter a stimulation waveform to reduce waveform distortion caused by tissue, such as tissue primitive and/or tissue capacitance. Accordingly, providing therapy with the filtered waveform may have increased efficacy by accounting for and adjusting for waveform distortion.
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