Systems and methods for measuring hemodynamic parameters with wearable cardiovascular sensing

Abstract

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.

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 artery pressure, or a baseline pulmonary capillary wedge pressure for the user. 
     
     
         27 . The apparatus of  claim 18 , wherein the controller is further configured to generate the assessment of the heart health by processing, using a classification model, the electrocardiogram signal and the seismocardiogram signals to obtain a classification of a clinical status of heart failure in the user. 
     
     
         28 . A method for non-invasively monitoring heart health of a user, the method comprising:
 receiving an electrocardiogram signal from a first sensor of a wearable device, the wearable device being disposed on a chest of a user below the suprasternal notch;   receiving one or more seismocardiogram signals from a second sensor of the wearable device; and   generating an assessment of the heart health of the user by determining one or more hemodynamic parameters based on the electrocardiogram signal and the one or more seismocardiogram signals.   
     
     
         29 . The method of  claim 28 , wherein the one or more hemodynamic parameters includes: a filling pressure of the user, a pulmonary artery pressure of the user, or a pulmonary capillary wedge pressure of the user. 
     
     
         30 . The method of  claim 28  further comprising, prior to generating the assessment of the heart health, determining a baseline value of the one or more hemodynamic parameters for the user. 
     
     
         31 . The apparatus of  claim 18  further comprising a second sensor disposed in the housing and configured to measure a gyrocardiogram signal of the user,
 the controller being further configured to determine the one or more hemodynamic parameters based on the gyrocardiogram signal, 
 wherein the first sensor is configured to measure the seismocardiogram signals in three axes.