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    METHODS AND SYSTEMS FOR ADAPTIVE ADJUSTMENT OF VENTILATOR SETTINGS
    1.
    发明申请
    METHODS AND SYSTEMS FOR ADAPTIVE ADJUSTMENT OF VENTILATOR SETTINGS 审中-公开
    用于自适应调节通风机设置的方法和系统

    公开(公告)号：US20140373845A1

    公开(公告)日：2014-12-25

    申请号：US13926013

    申请日：2013-06-25

    申请人： Covidien LP

    发明人： Nancy F. Dong

    IPC分类号： A61M16/00 ,  A61B5/085 ,  A61M16/08 ,  A61B5/087 ,  A61B5/00

    CPC分类号： A61M16/0051 ,  A61B5/085 ,  A61B5/087 ,  A61B5/4836 ,  A61M16/0069 ,  A61M16/026 ,  A61M16/0883 ,  A61M2016/0027 ,  A61M2016/0039 ,  A61M2016/0042 ,  A61M2205/502

    摘要： This disclosure describes systems and methods for providing optimized adjustment of a ventilator based on an estimated net value of patient effort. The disclosure describes a novel breath type that delivers a target airway pressure calculated based on an estimated patient muscle effort. A net value of patient muscle effort is estimated using a parameter estimate vector update equation to solve for a recursive least squares gain value representing the estimated net value of patient effort. The estimated net value of patient muscle effort is used to determine a target airway pressure, which is then used to determine a target inspiratory pressure to be delivered to a patient. The target inspiratory pressure is used to determine an onset and/or end of a ventilation cycle and therefore improves the synchronization between the ventilator and the patient.

    摘要翻译： 本公开描述了基于估计的患者努力净值来提供对呼吸机的优化调整的系统和方法。 本公开描述了一种新型呼吸型，其传递基于估计的患者肌肉力量计算的目标气道压力。 使用参数估计向量更新方程来估计患者肌肉力量的净值，以求解代表患者努力的估计净值的递归最小二乘增益值。 估计患者肌肉力量的净值用于确定目标气道压力，然后将其用于确定要递送给患者的目标吸气压力。 目标吸气压力用于确定通气周期的开始和/或结束，从而改善呼吸机和患者之间的同步。

    ONE-TOUCH VENTILATION MODE
    2.
    发明申请
    ONE-TOUCH VENTILATION MODE 有权

    公开(公告)号：US20210393902A1

    公开(公告)日：2021-12-23

    申请号：US17354049

    申请日：2021-06-22

    申请人： Covidien LP

    发明人： Nancy F. Dong ,  Gabriel Sanchez ,  Kun Li

    IPC分类号： A61M16/00

    摘要： Systems and methods for one-touch ventilation mode are disclosed. In examples, settings for a medical ventilator are determined and delivered to a patient with a minimum of one input parameter. The one-touch ventilation mode may reference or apply one or more respiratory mechanics planes to determine desired ventilation parameters. In an example, the input parameter may be mapped to initial ventilation settings on a respiratory mechanics plane. During ventilation delivered according to the initial ventilation settings, ventilation data may be obtained. Based on the ventilation data, one or more ventilation strategies may be implemented, including breath type strategy, alarming strategy, triggering/cycling strategy, and PEEP strategy. Updated ventilation settings may be determined based on the ventilation data and/or the ventilation strategy.

    Model-driven system integration in medical ventilators
    3.
    发明授权
    Model-driven system integration in medical ventilators 有权

    公开(公告)号：US11896767B2

    公开(公告)日：2024-02-13

    申请号：US17178349

    申请日：2021-02-18

    申请人： Covidien LP

    发明人： Nancy F. Dong ,  Gabriel Sanchez ,  Kun Li

    IPC分类号： A61M16/08 ,  A61M16/00 ,  A61M16/20 ,  G16H20/40 ,  G16H40/63 ,  G16H40/40

    CPC分类号： A61M16/08 ,  A61M16/0003 ,  A61M16/024 ,  A61M16/205 ,  A61M2016/003 ,  A61M2016/0027 ,  A61M2205/3368

    摘要： Systems and methods for model-driven system integration on a ventilator comprise a modeled exhalation flow. Ventilator flow sensors contain components that are easily damaged or impacted and have high rates of failure. Knowledge failure frequency and type may help determine when to replace, clean, or calibrate a flow sensor. A modeled exhalation flow may be trained for a ventilator. Additionally, the modeled exhalation flow may be compared to a flow sensor flow to determine a specific failure. Additionally or alternatively, the modeled exhalation flow may supplement, weight, or replace a faulty flow sensor measurement. These systems and methods may assist in identifying an inaccurate flow sensor measurement and/or providing a more accurate modeled flow estimate, thus increasing accuracy in patient-ventilator interactions.

    MODEL-DRIVEN SYSTEM INTEGRATION IN MEDICAL VENTILATORS
    5.
    发明公开
    MODEL-DRIVEN SYSTEM INTEGRATION IN MEDICAL VENTILATORS 审中-公开

    公开(公告)号：US20240131289A1

    公开(公告)日：2024-04-25

    申请号：US18403473

    申请日：2024-01-03

    申请人： Covidien LP

    发明人： Nancy F. Dong ,  Gabriel Sanchez ,  Kun Li

    IPC分类号： A61M16/08 ,  A61M16/00 ,  A61M16/20

    CPC分类号： A61M16/08 ,  A61M16/0003 ,  A61M16/024 ,  A61M16/205 ,  A61M2016/0027 ,  A61M2016/003 ,  A61M2205/3368

    摘要： Systems and methods for model-driven system integration on a ventilator comprise a modeled exhalation flow. Ventilator flow sensors contain components that are easily damaged or impacted and have high rates of failure. Knowledge failure frequency and type may help determine when to replace, clean, or calibrate a flow sensor. A modeled exhalation flow may be trained for a ventilator. Additionally, the modeled exhalation flow may be compared to a flow sensor flow to determine a specific failure. Additionally or alternatively, the modeled exhalation flow may supplement, weight, or replace a faulty flow sensor measurement. These systems and methods may assist in identifying an inaccurate flow sensor measurement and/or providing a more accurate modeled flow estimate, thus increasing accuracy in patient-ventilator interactions.

    SYSTEMS AND METHODS FOR DETECTING RESPIRATORY MECHANICS
    10.
    发明申请
    SYSTEMS AND METHODS FOR DETECTING RESPIRATORY MECHANICS 有权

    公开(公告)号：US20210322691A1

    公开(公告)日：2021-10-21

    申请号：US16852197

    申请日：2020-04-17

    申请人： Covidien LP

    发明人： Nancy F. Dong ,  Gabriel Sanchez ,  Kun Li

    IPC分类号： A61M16/00 ,  G16H40/63

    摘要： Systems and methods for detecting respiratory mechanics of a patient during mechanical ventilation. An example ventilator implemented method includes receiving pressure and flow measurements of breathing gas. Based on the measurements, the ventilator generates values for a derivative of an estimate of intrapleural pressure (Psync) of the patient, and the ventilator determines a rate of change of the generated Psync values over a portion of an expiratory phase of a breathing cycle. Based on the determined rate of change, the ventilator selects at least one of a triggering mode or a setting for ventilation, and the ventilator controls ventilation of the patient based on the selected triggering mode and/or the setting for ventilation.