Abstract: A system and method are disclosed for detecting chronic health conditions based on data collected by a wearable device such as an activity tracker or a smart watch. Deep learning algorithms are configured to process the monitored parameter data collected by the wearable device as well as additional embedding data obtained from health records corresponding to a user account registered to the wearable device. In some examples, the input vector can also include embedding data related to social determinants data and/or demographic data. The output of the deep learning algorithms provides predictions that represent probabilities that the user of the wearable device has an underlying health condition. If any underlying health condition is detected, then the user can be notified directly, via the wearable device or an associated application or technology, or indirectly, via a primary care provider associated with the user.

Abstract: A method and system for acquiring data for assessment of cardiovascular disease, the method comprising one or more of: manipulating one or more hardware aspects of the photoplethysmography data acquisition system(s) implementing the method; manipulating or providing user experience/user interface (UX/UI) aspects of the system(s) implementing the method; acquiring, processing, and deriving insights population specific data; accounting for or controlling sampling site variability; and using other suitable sources of data in order to generate high quality data for characterization, assessment, and management of cardiovascular disease.

Abstract: An embodiment of a method for assessing cardiovascular disease in a user with a body region using a mobile computing device including a camera module, includes receiving a time series of image data of a body region of the user, the time series of image data captured during a time period; generating a photoplethysmogram dataset from the time series of image data; generating a processed PPG dataset; determining a cardiovascular parameter value of the user based on the processed PPG dataset; fitting a chronobiological model to (1) the cardiovascular parameter value, and (2) a subsequent cardiovascular parameter value, characterizing a cardiovascular parameter variation over time of the user based on the fitted chronobiological model; and presenting an analysis of the cardiovascular parameter variation to the user at the mobile computing device.

Abstract: A method and system for acquiring data for assessment of cardiovascular disease, the method comprising one or more of: manipulating one or more hardware aspects of the photoplethysmography data acquisition system(s) implementing the method; manipulating or providing user experience/user interface (UX/UI) aspects of the system(s) implementing the method; acquiring, processing, and deriving insights population specific data; accounting for or controlling sampling site variability; and using other suitable sources of data in order to generate high quality data for characterization, assessment, and management of cardiovascular disease.

Abstract: An embodiment of a method for assessing cardiovascular disease in a user with a body region using a mobile computing device including a camera module, includes receiving a time series of image data of a body region of the user, the time series of image data captured during a time period; generating a photoplethysmogram dataset from the time series of image data; generating a processed PPG dataset; determining a cardiovascular parameter value of the user based on the processed PPG dataset; fitting a chronobiological model to (1) the cardiovascular parameter value, and (2) a subsequent cardiovascular parameter value, characterizing a cardiovascular parameter variation over time of the user based on the fitted chronobiological model; and presenting an analysis of the cardiovascular parameter variation to the user at the mobile computing device.

Abstract: A method and system for acquiring data for assessment of cardiovascular disease, the method comprising one or more of: manipulating one or more hardware aspects of the photoplethysmography data acquisition system(s) implementing the method; manipulating or providing user experience/user interface (UX/UI) aspects of the system(s) implementing the method; acquiring, processing, and deriving insights population specific data; accounting for or controlling sampling site variability; and using other suitable sources of data in order to generate high quality data for characterization, assessment, and management of cardiovascular disease.

Abstract: An embodiment of a method for assessing cardiovascular disease in a user with a body region using a mobile computing device including a camera module, includes receiving a time series of image data of a body region of the user, the time series of image data captured during a time period; generating a photoplethysmogram dataset from the time series of image data; generating a processed PPG dataset; determining a cardiovascular parameter value of the user based on the processed PPG dataset; fitting a chronobiological model to (1) the cardiovascular parameter value, and (2) a subsequent cardiovascular parameter value, characterizing a cardiovascular parameter variation over time of the user based on the fitted chronobiological model; and presenting an analysis of the cardiovascular parameter variation to the user at the mobile computing device.

Abstract: A system and method are disclosed for detecting chronic health conditions based on data collected by a wearable device such as an activity tracker or a smart watch. Deep learning algorithms are configured to process the monitored parameter data collected by the wearable device as well as additional embedding data obtained from health records corresponding to a user account registered to the wearable device. In some examples, the input vector can also include embedding data related to social determinants data and/or demographic data. The output of the deep learning algorithms provides predictions that represent probabilities that the user of the wearable device has an underlying health condition. If any underlying health condition is detected, then the user can be notified directly, via the wearable device or an associated application or technology, or indirectly, via a primary care provider associated with the user.

Abstract: A system and method for determining cardiovascular parameters can include: receiving a plethymogram (PG) dataset, removing noise from the PG dataset, segmenting the PG dataset, extracting a set of fiducials from the PG dataset, and transforming the set of fiducials to determine the cardiovascular parameters.

Abstract: An embodiment of a method for assessing cardiovascular disease in a user with a body region using a mobile computing device including a camera module, includes receiving a time series of image data of a body region of the user, the time series of image data captured during a time period; generating a photoplethysmogram dataset from the time series of image data; generating a processed PPG dataset; determining a cardiovascular parameter value of the user based on the processed PPG dataset; fitting a chronobiological model to (1) the cardiovascular parameter value, and (2) a subsequent cardiovascular parameter value, characterizing a cardiovascular parameter variation over time of the user based on the fitted chronobiological model; and presenting an analysis of the cardiovascular parameter variation to the user at the mobile computing device.

Abstract: An embodiment of a method for assessing cardiovascular disease in a user with a body region using a mobile computing device including a camera module, includes receiving a time series of image data of a body region of the user, the time series of image data captured during a time period; generating a photoplethysmogram dataset from the time series of image data; generating a processed PPG dataset; determining a cardiovascular parameter value of the user based on the processed PPG dataset; fitting a chronobiological model to (1) the cardiovascular parameter value, and (2) a subsequent cardiovascular parameter value, characterizing a cardiovascular parameter variation over time of the user based on the fitted chronobiological model; and presenting an analysis of the cardiovascular parameter variation to the user at the mobile computing device.

Abstract: A method and system for acquiring data for assessment of cardiovascular disease, the method comprising one or more of: manipulating one or more hardware aspects of the photoplethysmography data acquisition system(s) implementing the method; manipulating or providing user experience/user interface (UX/UI) aspects of the system(s) implementing the method; acquiring, processing, and deriving insights population specific data; accounting for or controlling sampling site variability; and using other suitable sources of data in order to generate high quality data for characterization, assessment, and management of cardiovascular disease.

Abstract: A system and method for determining cardiovascular parameters can include: receiving a plethymogram (PG) dataset, removing noise from the PG dataset, segmenting the PG dataset, extracting a set of fiducials from the PG dataset, and transforming the set of fiducials to determine the cardiovascular parameters.

Abstract: A method and system for acquiring data for assessment of cardiovascular disease, the method comprising one or more of: manipulating one or more hardware aspects of the photoplethysmography data acquisition system(s) implementing the method; manipulating or providing user experience/user interface (UX/UI) aspects of the system(s) implementing the method; acquiring, processing, and deriving insights population specific data; accounting for or controlling sampling site variability; and using other suitable sources of data in order to generate high quality data for characterization, assessment, and management of cardiovascular disease.

Abstract: A system and method for determining cardiovascular parameters can include: receiving a plethymogram (PG) dataset, removing noise from the PG dataset, segmenting the PG dataset, extracting a set of fiducials from the PG dataset, and transforming the set of fiducials to determine the cardiovascular parameters.

Abstract: A method and system for acquiring data for assessment of cardiovascular disease, the method comprising one or more of: manipulating one or more hardware aspects of the photoplethysmography data acquisition system(s) implementing the method; manipulating or providing user experience/user interface (UX/UI) aspects of the system(s) implementing the method; acquiring, processing, and deriving insights population specific data; accounting for or controlling sampling site variability; and using other suitable sources of data in order to generate high quality data for characterization, assessment, and management of cardiovascular disease.

Abstract: An embodiment of a method for assessing cardiovascular disease in a user with a body region using a mobile computing device including a camera module, includes receiving a time series of image data of a body region of the user, the time series of image data captured during a time period; generating a photoplethysmogram dataset from the time series of image data; generating a processed PPG dataset; determining a cardiovascular parameter value of the user based on the processed PPG dataset; fitting a chronobiological model to (1) the cardiovascular parameter value, and (2) a subsequent cardiovascular parameter value, characterizing a cardiovascular parameter variation over time of the user based on the fitted chronobiological model; and presenting an analysis of the cardiovascular parameter variation to the user at the mobile computing device.

Abstract: An embodiment of a method for assessing cardiovascular disease in a user with a body region using a mobile computing device including a camera module, includes receiving a time series of image data of a body region of the user, the time series of image data captured during a time period; generating a photoplethysmogram dataset from the time series of image data; generating a processed PPG dataset; determining a cardiovascular parameter value of the user based on the processed PPG dataset; fitting a chronobiological model to (1) the cardiovascular parameter value, and (2) a subsequent cardiovascular parameter value, characterizing a cardiovascular parameter variation over time of the user based on the fitted chronobiological model; and presenting an analysis of the cardiovascular parameter variation to the user at the mobile computing device.

Abstract: A method and system for acquiring data for assessment of cardiovascular disease, the method comprising one or more of: manipulating one or more hardware aspects of the photoplethysmography data acquisition system(s) implementing the method; manipulating or providing user experience/user interface (UX/UI) aspects of the system(s) implementing the method; acquiring, processing, and deriving insights population specific data; accounting for or controlling sampling site variability; and using other suitable sources of data in order to generate high quality data for characterization, assessment, and management of cardiovascular disease.

Abstract: A method and system for acquiring data for assessment of cardiovascular disease, the method comprising one or more of: manipulating one or more hardware aspects of the photoplethysmography data acquisition system(s) implementing the method; manipulating or providing user experience/user interface (UX/UI) aspects of the system(s) implementing the method; acquiring, processing, and deriving insights population specific data; accounting for or controlling sampling site variability; and using other suitable sources of data in order to generate high quality data for characterization, assessment, and management of cardiovascular disease.