Body stability measurement using pulse transit time

    公开(公告)号:US12048516B2

    公开(公告)日:2024-07-30

    申请号:US17086653

    申请日:2020-11-02

    CPC classification number: A61B5/02125 A61B5/686 A61B5/746 A61B2562/0219

    Abstract: An example medical device system and method includes accelerometer circuitry configured to generate at least one signal, a memory, and processing circuitry coupled to the accelerometer circuitry and the memory. The processing circuitry is configured to determine a first plurality of pulse transit times (PTTs), determine, based on the at least one accelerometer signal, a Sit-to-Stand transition, determine, based on the Sit-to-Stand transition occurring, a second plurality of PTTs after the Sit-to-Stand transition, and determine a likelihood that a person, such as a patient, may fall based on the first plurality of PTTs and the second plurality of PTTs.

    SENSING FOR HEART FAILURE MANAGEMENT
    4.
    发明公开

    公开(公告)号:US20240049968A1

    公开(公告)日:2024-02-15

    申请号:US18492038

    申请日:2023-10-23

    Abstract: In some examples, determining a heart failure status using a medical device comprising one or more sensors includes determining a first value of a heart beat variability metric of a patient while an activity state of a patient satisfies an inactivity criterion based on a signal received from the one or more sensors, and determining, within a predetermined period of time after further determining that the activity state of the patient no longer satisfies the inactivity criterion, a second value of the heart beat variability metric while the activity state of the patient no longer satisfies the inactivity criterion based on the signal. A difference between the first value of the heart beat variability metric and the second value of the heart beat variability metric may be determined and the heart failure status of the patient may be determined based on the difference.

    SENSING FOR HEART FAILURE MANAGEMENT
    6.
    发明申请

    公开(公告)号:US20200345240A1

    公开(公告)日:2020-11-05

    申请号:US16797390

    申请日:2020-02-21

    Abstract: In some examples, determining a heart failure status using a medical device comprising one or more sensors includes determining a first value of a heart beat variability metric of a patient while an activity state of a patient satisfies an inactivity criterion based on a signal received from the one or more sensors, and determining, within a predetermined period of time after further determining that the activity state of the patient no longer satisfies the inactivity criterion, a second value of the heart beat variability metric while the activity state of the patient no longer satisfies the inactivity criterion based on the signal. A difference between the first value of the heart beat variability metric and the second value of the heart beat variability metric may be determined and the heart failure status of the patient may be determined based on the difference.

    Determining a fall risk responsive to detecting body position movements

    公开(公告)号:US11602313B2

    公开(公告)日:2023-03-14

    申请号:US16940817

    申请日:2020-07-28

    Abstract: This disclosure is directed to devices, systems, and techniques for monitoring a patient condition. In some examples, a medical device system includes a medical device comprising a set of sensors. Additionally, the medical device system includes processing circuitry configured to identify, based on at least one signal of the set of signals, a time of an event corresponding to the patient and set a time window based on the time of the event. Additionally, the processing circuitry is configured to save, to a fall risk database in a memory, a set of data including one or more signals of the set of signals so that the fall risk database may be analyzed in order to determine a fall risk score corresponding to the patient, wherein the set of data corresponds to the time window.

    DENOISING SENSED SIGNALS FROM ARTIFACTS FROM CARDIAC SIGNALS

    公开(公告)号:US20220287646A1

    公开(公告)日:2022-09-15

    申请号:US17690045

    申请日:2022-03-09

    Abstract: A method for artifact suppression in a sensed signal includes receiving the sensed signal sensed in a brain of a patient, wherein the sensed signal includes a neural signal and artifacts from a cardiac signal, decomposing the sensed signal into a plurality of components of the sensed signal, determining a first group of components, from the plurality of components, that are correlated with one another, determining an estimate of the cardiac signal based on the first group of components, wherein the estimate of the cardiac signal includes the cardiac signal and components of the neural signal, and generating a denoised neural signal based on the estimate of the cardiac signal and a second group of components of the plurality of components of the sensed signal, wherein the cardiac signal is suppressed in the denoised neural signal, and wherein the second group of components excludes the first group of components.

    DETERMINING A FALL RISK RESPONSIVE TO DETECTING BODY POSITION MOVEMENTS

    公开(公告)号:US20220031253A1

    公开(公告)日:2022-02-03

    申请号:US16940817

    申请日:2020-07-28

    Abstract: This disclosure is directed to devices, systems, and techniques for monitoring a patient condition. In some examples, a medical device system includes a medical device comprising a set of sensors. Additionally, the medical device system includes processing circuitry configured to identify, based on at least one signal of the set of signals, a time of an event corresponding to the patient and set a time window based on the time of the event. Additionally, the processing circuitry is configured to save, to a fall risk database in a memory, a set of data including one or more signals of the set of signals so that the fall risk database may be analyzed in order to determine a fall risk score corresponding to the patient, wherein the set of data corresponds to the time window.

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