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    WCD user interface response to a change in device orientation
    1.
    发明授权
    WCD user interface response to a change in device orientation 有权

    公开(公告)号：US12115378B2

    公开(公告)日：2024-10-15

    申请号：US17717322

    申请日：2022-04-11

    申请人： WEST AFFUM HOLDINGS DAC

    发明人： Zoie R. Engman ,  Aaron J. Piazza ,  Erick M. Roane

    IPC分类号： A61N1/00 ,  A61N1/04 ,  A61N1/39

    CPC分类号： A61N1/3904 ,  A61N1/046 ,  A61N1/3912 ,  A61N1/3925 ,  A61N1/3968 ,  A61N1/3975

    摘要： In one embodiment, a wearable cardioverter defibrillator (WCD) is described. The WCD includes a support structure worn by a patient. A processor is coupled to the support structure. The WCD also includes a discharge circuit coupled to an energy storage module, the discharge circuit configured to discharge the stored electrical charge through a body of the patient. The wearable cardioverter defibrillator also includes a user interface housing at least one sensor and responsive to changes in device orientation. The processor is configured to detect a motion at the user interface and determine when the motion is patient-activated. When the motion is patient-activated, the processor determines a direction of rotation. The processor determines an orientation of a display at the user interface based on the direction of rotation and orients the display at the user interface to appear upright to the patient.

    WEARABLE CARDIOVERTER DEFIBRILLATOR WITH AI-BASED FEATURES
    6.
    发明公开
    WEARABLE CARDIOVERTER DEFIBRILLATOR WITH AI-BASED FEATURES 审中-公开

    公开(公告)号：US20230264033A1

    公开(公告)日：2023-08-24

    申请号：US18309958

    申请日：2023-05-01

    申请人： West Affum Holdings DAC

    发明人： Zoie R. Engman ,  Erick M. Roane ,  Steven E. Sjoquist ,  Jonathan P. Niegowski ,  Robert R. Buchanan

    IPC分类号： A61N1/39 ,  G05B13/02

    CPC分类号： A61N1/3904 ,  G05B13/0265

    摘要： “Artificial Intelligence” or “AI” technology can be applied to Wearable Cardioverter Defibrillators (“WCDs”) and other wearable medical equipment in various ways, including garment fitting and adjustment, analyzing electrocardiogram (“ECG”), other sensor data and/or other patient data in real time to detect/assess the patient's present condition and/or need for treatment for cardiac and other conditions (e.g., stroke, coughing, apnea, etc.), detect imminent failure of the wearable medical device components, capture and report data collected from the patient for presenting to clinicians, adjust thresholds for alarms and notifications based on patient's responses, improve patient compliance based on the patient's past non-compliant behavior and actions that resulted in the patient becoming compliant, provide tests to the patient, and learn the patient's responses to detect/assess the patient's present condition and/or need for treatment.

    Wearable cardioverter defibrillator with AI-based features
    7.
    发明授权
    Wearable cardioverter defibrillator with AI-based features 有权

    公开(公告)号：US11672996B2

    公开(公告)日：2023-06-13

    申请号：US16946512

    申请日：2020-06-24

    申请人： WEST AFFUM HOLDINGS DAC

    发明人： Zoie R. Engman ,  Erick M. Roane ,  Steven E. Sjoquist ,  Jonathan P. Niegowski ,  Robert R. Buchanan

    IPC分类号： A61N1/39 ,  G05B13/02

    CPC分类号： A61N1/3904 ,  G05B13/0265

    摘要： “Artificial Intelligence” or “AI” technology can be applied to Wearable Cardioverter Defibrillators (“WCDs”) and other wearable medical equipment in various ways, including: garment fitting and adjustment; analyzing electrocardiogam (“ECG”), other sensor data and/or other patient data (e.g., age, gender, previous medical conditions, etc.) in real time to detect/assess the patient's present condition and/or need for treatment for cardiac and other conditions (e.g., stroke, coughing, apnea, etc.); detecting imminent failure of the wearable medical device components; capturing and reporting data collected from the patient for presenting to clinicians; adjusting thresholds for alarms and notifications based on patient's responses; improving patient compliance based on the patient's past non-compliant behavior and actions that resulted in the patient becoming compliant; providing tests to the patient (e.g., grip test, dexterity tests, balance tests, etc.) and learning the patient's responses to detect/assess the patient's present condition and/or need for treatment; learning the patient's voice, activity, posture, time of day, etc. for implementing intelligent voice recognition/activation of the medical device.