Systems and methods for measuring hemodynamic parameters with wearable cardiovascular sensing

US2023293082A1 · US · A1

Patent metadata
FieldValue
Publication numberUS-2023293082-A1
Application numberUS-202318200393-A
CountryUS
Kind codeA1
Filing dateMay 22, 2023
Priority dateNov 24, 2020
Publication dateSep 21, 2023
Grant date

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Abstract

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Systems and methods for measuring hemodynamic parameters with wearable cardiovascular sensing. An apparatus can include one or more sensors configured to measure an electrocardiogram signal of a user and one or more seismocardiogram (SCG) signals of the user, a memory and a processing system including one or more processors operatively coupled to the memory and the one or more sensors, and configured to receive the electrocardiogram and one or more SCG signals, and generate an assessment of heart health by determining one or more hemodynamic parameters based on the signals. The invention further includes a method for non-invasively monitoring heart health of a user including receiving an electrocardiogram signal from a first sensor of a wearable device, receiving one or more SCG signals from a second sensor of the wearable device, and generating the assessment of the heart health of the user by determining the one or more hemodynamic parameters.

First claim

Opening claim text (preview).

1 . An apparatus comprising: one or more sensors configured to measure an electrocardiogram signal of a user and one or more seismocardiogram signals of the user; a memory; and a processing system comprising one or more processors operatively coupled to the memory and the one or more sensors, the processing system configured to: receive the electrocardiogram signal; receive the one or more seismocardiogram signals; and generate an assessment of heart health of the user by determining one or more hemodynamic parameters based on the electrocardiogram signal and the one or more seismocardiogram signals. 2 . The apparatus of claim 1 , wherein the one or more seismocardiogram signals includes one or more seismocardiogram signals in two or more axes. 3 . The apparatus of claim 2 , wherein the two or more axes includes two or more of: a lateral axis, a head-to-foot axis, or a dorso-ventral axis. 4 . The apparatus of claim 2 , wherein the processing system is further configured to, prior to generating the assessment of the heart health, generate a combined seismocardiogram signal using the one or more seismocardiogram signals in the two or more axes, the processing system being further configured to determine the one or more hemodynamic parameters based on the combined seismocardiogram signal. 5 . The apparatus of claim 1 , wherein the processing system is further configured to determine the one or more hemodynamic parameters based on features extracted from the one or more seismocardiogram signals during at least a diastolic portion of a heartbeat. 6 . The apparatus of claim 1 , wherein the processing system is further configured to generate the assessment of the heart health by processing, using a classification model, the electrocardiogram signal and the one or more seismocardiogram signals to obtain a classification of a clinical status of heart failure in the user. 7 . The apparatus of claim 1 , wherein the one or more hemodynamic parameters includes a filling pressure of the user or a change in the filling pressure of the user. 8 . The apparatus of claim 1 , wherein the one or more hemodynamic parameters includes a pulmonary artery pressure of the user or a change in the pulmonary artery pressure of the user. 9 . The apparatus of claim 1 , wherein the one or more hemodynamic parameters includes a pulmonary capillary wedge pressure of the user or a change in pulmonary capillary wedge pressure of the user. 10 . The apparatus of claim 1 , wherein the processing system is further configured to, prior to generating the assessment of the heart health, determine a baseline value of the one or more hemodynamic parameters for the user, the processing system being further configured to generate the assessment of the heart health based on the baseline value. 11 . The apparatus of claim 10 , wherein the processing system is further configured to determine the baseline value using a population-level regression algorithm. 12 . The apparatus of claim 10 , wherein the processing system is further configured to determine the baseline value using data collected of the user during a right heart catheterization procedure or a clinical exam. 13 . The apparatus of claim 1 , wherein the one or more sensors comprises a first sensor configured to measure the electrocardiogram signal and a second sensor configured to measure the one or more seismocardiogram signals; and wherein the first sensor and the second sensor are contained in a wearable housing configured to be worn on a chest of the user below the suprasternal notch. 14 . The apparatus of claim 13 , wherein the first sensor includes one or more electrodes configured to be placed against a skin of the user, and the second sensor includes an accelerometer. 15 . The apparatus of claim 1 , wherein the one or more sensors comprises a first sensor configured to measure the electrocardiogram signal, a second sensor configured to measure the one or more seismocardiogram signals, and a third sensor configured to measure an environmental parameter, the processing system being further configured to determine the one or more hemodynamic parameters based on the environmental parameter. 16 . The apparatus of claim 1 , wherein the one or more sensors comprises a first sensor configured to measure the electrocardiogram signal, a second sensor configured to measure the one or more seismocardiogram signals, and a third sensor configured to measure a photoplethysmography signal of the user, the processing system being further configured to determine the one or more hemodynamic parameters based on the photoplethysmography signal. 17 . The apparatus of claim 1 , wherein the one or more sensors comprises a first sensor configured to measure the electrocardiogram signal, a second sensor configured to measure the one or more seismocardiogram signals, and a third sensor configured to measure a gyrocardiogram signal of the user, the processing system being further configured to determine the one or more hemodynamic parameters based on the gyrocardiogram signal. 18 . An apparatus comprising: a housing configured to be worn on a chest of a user below the suprasternal notch; electrodes disposed on the housing and configured to contact a skin of the user and to measure an electrocardiogram signal of the user; a first sensor disposed in the housing and configured to measure seismocardiogram signals of the user in two or more axes; and a controller disposed in the housing, the controller configured to: receive the electrocardiogram signal from the electrodes; receive the seismocardiogram signals from the first sensor; determine a baseline value for the user; and generate an assessment of heart health by determining one or more hemodynamic parameters based on the electrocardiogram signal, the seismocardiogram signals, and the baseline value. 19 . The apparatus of claim 18 further comprising a second sensor disposed in the housing and configured to measure an environmental parameter, the controller being further configured to determine the one or more hemodynamic parameters based on the environmental parameter. 20 . The apparatus of claim 19 , wherein the environmental parameter includes at least one of: a temperature, a humidity, or an altitude. 21 . The apparatus of claim 18 further comprising a second sensor disposed in the housing and configured to measure a photoplethysmography signal of the user, the controller being further configured to determine the one or more hemodynamic parameters based on the photoplethysmography signal. 22 . (canceled) 23 . The apparatus of claim 18 , wherein the one or more hemodynamic parameters includes a filling pressure of the user or a change in the filling pressure of the user. 24 . The apparatus of claim 18 , wherein the one or more hemodynamic parameters includes a pulmonary artery pressure of the user or a change in the pulmonary artery pressure of the user. 25 . The apparatus of claim 18 , wherein the one or more hemodynamic parameters includes a pulmonary capillary wedge pressure of the user or a change in pulmonary capillary wedge pressure of the user. 26 . The apparatus of claim 18 , wherein the controller is further configured to determine the baseline value by determining, using a population-level regression algorithm, at least one of a baseline filling pressure, a baseline pulmonary ar

Assignees

Inventors

Classifications

  • using signal cancellation, e.g. based on input of two identical physiological sensors spaced apart, or based on two signals derived from the same sensor, for different optical wavelengths · CPC title

  • specially adapted to be attached to or worn on the body surface · CPC title

  • Details of apparatus construction, e.g. pump units or housings therefor, cuff pressurising systems, arrangements of fluid conduits or circuits (A61B5/02233, A61B5/0235 take precedence) · CPC title

  • Detecting R peaks, e.g. for synchronising diagnostic apparatus; Estimating R-R interval · CPC title

  • A61B5/021Primary

    Measuring pressure in heart or blood vessels · CPC title

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What does patent US2023293082A1 cover?
Systems and methods for measuring hemodynamic parameters with wearable cardiovascular sensing. An apparatus can include one or more sensors configured to measure an electrocardiogram signal of a user and one or more seismocardiogram (SCG) signals of the user, a memory and a processing system including one or more processors operatively coupled to the memory and the one or more sensors, and conf…
Who is the assignee on this patent?
Georgia Tech Res Inst
What technology area does this patent fall under?
Primary CPC classification A61B5/021. Mapped technology areas include Human Necessities.
When was this patent published?
Publication date Thu Sep 21 2023 00:00:00 GMT+0000 (Coordinated Universal Time) (A1). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 1 related publication on this page (citations in our corpus or others sharing the same primary CPC).