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公开(公告)号：US12102826B2
公开(公告)日：2024-10-01
申请号：US17082318
申请日：2020-10-28
Applicant: Advanced Neuromodulation Systems, Inc.
Inventor： Hyun-Joo Park , Simeng Zhang , Yagna Pathak , Erika Ross
CPC classification number: A61N1/36125 , A61N1/025 , A61N1/36192 , A61N1/36196 , G16H20/30 , A61N1/0534 , A61N1/0551 , A61N1/3616
Abstract: The present disclosure provides systems and methods for generating pulsed waveforms that approximate colored noise for use in a neurostimulation system. 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 pulsed waveform that approximates colored noise using at least one of a thresholding method and an optimization method, and cause stimulation to be delivered by the stimulation lead based on the pulsed waveform.
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公开(公告)号：US11786309B2
公开(公告)日：2023-10-17
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 , G06T7/70 , G16H30/40 , G06V10/25 , A61B5/055 , A61B6/03 , A61B6/00 , G06N3/08 , G06T7/00 , G06F18/214 , A61N1/05
CPC classification number: A61B34/10 , A61B5/055 , A61B6/032 , A61B6/469 , A61B6/501 , A61B6/5223 , A61B6/5247 , G06F18/214 , G06N3/08 , G06T7/0014 , G06T7/70 , G06V10/25 , G16H30/40 , A61B2034/107 , A61B2505/05 , A61N1/0534 , G06T2207/10081 , G06T2207/10088 , G06T2207/20081 , G06T2207/20084 , G06T2207/30016 , G06T2207/30241 , G06V2201/031
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：US11679264B2
公开(公告)日：2023-06-20
申请号：US17082299
申请日：2020-10-28
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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公开(公告)号：US20230054788A1
公开(公告)日：2023-02-23
申请号：US17891099
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
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：US20230054076A1
公开(公告)日：2023-02-23
申请号：US17891087
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 , Plano 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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Patent Agency Ranking
26.发明申请公开(公告)号：US20220189626A1
公开(公告)日：2022-06-16
申请号：US17370247
申请日：2021-07-08
Applicant: Advanced Neuromodulation Systems, Inc.
Inventor： Scott DeBates , Tucker Tomlinson , Andrew Csavoy , Yagna Pathak , Lonnie Smith , James Nagle
Abstract: The present disclosure provides systems and methods for improving quality of a remote therapy session. A method includes capturing, using a computing device, video data associated with a remote therapy session between a patient device and a clinician device, applying, using the computing device, one or more machine learning algorithms to the captured video data to detect a quality issue associated with the remote therapy session, the quality issue related to one of i) a field of view associated with the video data, ii) a luminance associated with the video data, and iii) a contrast associated with the video data, and performing, using the computing device, a remedial action to address the detected quality issue in the video data.
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公开(公告)号：US20220080202A1
公开(公告)日：2022-03-17
申请号：US17082318
申请日：2020-10-28
Applicant: Advanced Neuromodulation Systems, Inc.
Inventor： Hyun-Joo Park , Simeng Zhang , Yagna Pathak , Erika Ross
Abstract: The present disclosure provides systems and methods for generating pulsed waveforms that approximate colored noise for use in a neurostimulation system. 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 pulsed waveform that approximates colored noise using at least one of a thresholding method and an optimization method, and cause stimulation to be delivered by the stimulation lead based on the pulsed waveform.
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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.
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公开(公告)号：US20230271014A1
公开(公告)日：2023-08-31
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 , A61N1/36175 , A61N1/0551 , 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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30.发明公开公开(公告)号：US20230173275A1
公开(公告)日：2023-06-08
申请号：US18074446
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 , A61N1/025 , A61N1/36192
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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