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    Systems, Devices, Components and Methods for Detecting the Locations of Sources of Cardiac Rhythm Disorders in a Patient's Heart
    3.
    发明申请
    Systems, Devices, Components and Methods for Detecting the Locations of Sources of Cardiac Rhythm Disorders in a Patient's Heart 审中-公开

    公开(公告)号：US20200245885A1

    公开(公告)日：2020-08-06

    申请号：US16724254

    申请日：2019-12-21

    申请人： Ablacon Inc

    发明人： Philip Haeusser ,  Peter Ruppersberg

    IPC分类号： A61B5/04 ,  A61B5/00 ,  A61B5/0408 ,  A61B5/046 ,  A61B5/0285 ,  A61B5/055

    摘要： Disclosed are various examples and embodiments of systems, devices, components and methods configured to detect a location of a source of at least one cardiac rhythm disorder in a patient's heart. In some embodiments, electrogram signals are acquired from a patient's body surface, and subsequently normalized, adjusted and/or filtered, followed by generating a two-dimensional spatial map, grid or representation of the electrode positions, processing the amplitude-adjusted and filtered electrogram signals to generate a plurality of three-dimensional electrogram surfaces corresponding at least partially to the 2D map, one surface being generated for each or selected discrete times, and processing the plurality of three-dimensional electrogram surfaces through time to generate a velocity vector map corresponding at least partially to the 2D map. The resulting velocity vector map maybe employed to classify a patient as one of an A-type patient, a B-type patient, and a C-type patient, and to guide therapy subsequently delivered to the patient. Trained atrial discriminative machine learning models that facilitate the foregoing systems and methods, and that provide predictions or results concerning a patient's condition, are also disclosed.

    Biosignal-Based Intracardiac Navigation Systems, Devices, Components and Methods
    4.
    发明申请
    Biosignal-Based Intracardiac Navigation Systems, Devices, Components and Methods 有权

    公开(公告)号：US20220386924A1

    公开(公告)日：2022-12-08

    申请号：US17863246

    申请日：2022-07-12

    申请人： Ablacon Inc.

    发明人： Stefan Marcel Denner ,  Philip Haeusser ,  Peter Ruppersberg ,  David Emanuel Luksic ,  Alessa Tabea Grund

    IPC分类号： A61B5/287 ,  A61B5/339

    摘要： In some embodiments, there are provided systems, devices, components, and corresponding methods configured to permit navigation and or positioning of an intra-cardiac electrophysiological (EP) mapping basket of an EP mapping catheter inside or near an atrium or other heart chamber of a patient's heart using biosignals or intra-cardiac signals. In one embodiment, QRS complexes are extracted or isolated from intra-cardiac signals sensed by electrodes mounted on the EP mapping basket. Using the QRS complexes, one or more computing devices then determine the locations of the electrodes inside or near the patient's atrium that are associated with each isolated or extracted QRS complex. The one or more computing devices can also be used to determine changes in the three-dimensional locations and orientations of the basket and the electrodes thereof as the basket is moved around, in, or near the patient's atrium, heart chamber, or other portion of the patient's heart. The computing device can also be configured to use position change detection methods to detect basket catheter movements inside or near the patient's heart, determine the three-dimensional coordinates X of each electrode for a given position and orientation of the basket within the patient's heart, determine and display to a user multiple positions of the basket inside or near the patient's heart, and provide a visual display to a user of the locations of the electrodes and/or basket inside or near the patient's heart.

    Methods, Systems, Devices, and Components for Extracting Atrial Signals from QRS and QRST Complexes
    7.
    发明申请
    Methods, Systems, Devices, and Components for Extracting Atrial Signals from QRS and QRST Complexes 有权

    公开(公告)号：US20230050834A1

    公开(公告)日：2023-02-16

    申请号：US17831249

    申请日：2022-06-02

    申请人： Ablacon Inc.

    发明人： Lukas Tenbrink ,  Philip Haeusser ,  Peter Ruppersberg

    IPC分类号： A61B5/366 ,  A61B5/00

    摘要： Disclosed are various examples and embodiments of systems, devices, components and methods configured to extract atrial signals from electrical signals acquired from a patient suffering from atrial fibrillation. The electrical signals acquired from the patient may be intra-cardiac signals or body surface electrode signals, or both. At least portions of QRS or QRS-T complexes corresponding to determined initial synchronization times are used to generate Fast Fourier Transforms (FFTs) corresponding to the extracted QRS complexes. A series of steps follow to generate isolated atrial signals corresponding to each electrical signal by subtracting generated reconstructed signals corresponding to each such electrical signal therefrom.

    Systems, devices, components and methods for detecting the locations of sources of cardiac rhythm disorders in a patient's heart
    10.
    发明授权
    Systems, devices, components and methods for detecting the locations of sources of cardiac rhythm disorders in a patient's heart 有权

    公开(公告)号：US11484239B2

    公开(公告)日：2022-11-01

    申请号：US16931844

    申请日：2020-07-17

    申请人： Ablacon Inc.

    发明人： Philip Haeusser ,  Peter Ruppersberg

    IPC分类号： A61B5/318 ,  A61B5/316 ,  A61B5/00 ,  A61B5/282 ,  A61B5/287 ,  A61B5/339 ,  A61B5/341 ,  A61B5/361 ,  A61B5/367

    摘要： Disclosed are various examples and embodiments of systems, devices, components and methods configured to detect a location of a source of at least one cardiac rhythm disorder in a patient's heart. In some embodiments, electrogram signals are acquired from a patient's body surface, and subsequently normalized, adjusted and/or filtered, followed by generating a two-dimensional spatial map, grid or representation of the electrode positions, processing the amplitude-adjusted and filtered electrogram signals to generate a plurality of three-dimensional electrogram surfaces corresponding at least partially to the 2D map, one surface being generated for each or selected discrete times, and processing the plurality of three-dimensional electrogram surfaces through time to generate a velocity vector or other type of map using one or more of optical flow, video tracking analysis, motion capture analysis, motion estimation analysis, data association and segmentation tracking analysis, particle tracking analysis, and single-particle tracking analysis methods corresponding at least partially to the 2D map. Trained atrial discriminative machine learning models that facilitate the foregoing systems and methods, and that provide predictions or results concerning a patient's condition, are also disclosed.