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1.发明公开公开(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
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.
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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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3.发明申请公开(公告)号：US20230117166A1
公开(公告)日：2023-04-20
申请号：US17968739
申请日：2022-10-18
Applicant: Advanced Neuromodulation Systems, Inc.
Inventor： Kyuwan Choi , Erika Ross , Diane Whitmer
Abstract: The present disclosure provides systems and methods for providing neurostimulation therapy using multi-dimensional patient features. The multi-dimensional patient features may include features in respective frequency bands for selected cortical sites from EEG localization data. Additionally or alternatively, the multi-dimensional patient features may include features from patient physiological data or other patient activity data. The multi-dimensional feature data may be compared against AI/ML models of patient and/or healthy population members. Closed-loop therapy adjustments may be applied to a respective patient's neurostimulation therapy using the multi-dimensional patient feature analysis.
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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：US20230055990A1
公开(公告)日：2023-02-23
申请号：US17891086
申请日：2022-08-18
Applicant: Advanced Neuromodulation Systems, Inc.
Inventor： Erika Ross , Mary Khun Hor-Lao , Binesh Balasingh , Scott DeBates , Doug Lautner , Kyuwan Choi
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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Patent Agency Ranking
6.发明申请公开(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：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.
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8.发明公开公开(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
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.
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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
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.
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10.发明授权公开(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.
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