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: The system for cardiovascular parameter data quality determination can include a user device and a computing system, wherein the user device can include one or more sensors, the computing system, and/or any suitable components. The computing system can optionally include a data quality module, a cardiovascular parameter module, a storage module, and/or any suitable modules. The method for cardiovascular parameter data quality determination can include acquiring data and determining a quality of the data. The method can optionally include processing the data, and/or determining a cardiovascular parameter, training a data quality module, any suitable steps.

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: The system for cardiovascular parameter data quality determination can include a user device and a computing system, wherein the user device can include one or more sensors, the computing system, and/or any suitable components. The computing system can optionally include a data quality module, a cardiovascular parameter module, a storage module, and/or any suitable modules. The method for cardiovascular parameter data quality determination can include acquiring data and determining a quality of the data. The method can optionally include processing the data, and/or determining a cardiovascular parameter, training a data quality module, any suitable steps.

Abstract: The system for cardiovascular parameter data quality determination can include a user device and a computing system, wherein the user device can include one or more sensors, the computing system, and/or any suitable components. The computing system can optionally include a data quality module, a cardiovascular parameter module, a storage module, and/or any suitable modules. The method for cardiovascular parameter data quality determination can include acquiring data and determining a quality of the data. The method can optionally include processing the data, and/or determining a cardiovascular parameter, training a data quality module, any suitable steps.

Abstract: A system or method for validating an unvalidated cardiovascular parameter monitor can include receiving a plurality of reference cardiovascular parameter datasets, each reference cardiovascular parameter dataset associated with a patient of a plurality of patients; receiving a plurality of test cardiovascular parameter measurements, each test cardiovascular parameter measurement includes a cardiovascular parameter measured for a patient of the plurality of patients; and validating the cardiovascular parameter monitor based on an analysis of the plurality of reference cardiovascular measurements and the plurality of test cardiovascular parameter measurement.

Abstract: A system or method for validating an unvalidated cardiovascular parameter monitor can include receiving a plurality of reference cardiovascular parameter datasets, each reference cardiovascular parameter dataset associated with a patient of a plurality of patients; receiving a plurality of test cardiovascular parameter measurements, each test cardiovascular parameter measurement includes a cardiovascular parameter measured for a patient of the plurality of patients; and validating the cardiovascular parameter monitor based on an analysis of the plurality of reference cardiovascular measurements and the plurality of test cardiovascular parameter measurement.

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: The system for cardiovascular parameter data quality determination can include a user device and a computing system, wherein the user device can include one or more sensors, the computing system, and/or any suitable components. The computing system can optionally include a data quality module, a cardiovascular parameter module, a storage module, and/or any suitable modules. The method for cardiovascular parameter data quality determination can include acquiring data and determining a quality of the data. The method can optionally include processing the data, and/or determining a cardiovascular parameter, training a data quality module, any suitable steps.

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: A system or method for validating an unvalidated cardiovascular parameter monitor can include receiving a plurality of reference cardiovascular parameter datasets, each reference cardiovascular parameter dataset associated with a patient of a plurality of patients; receiving a plurality of test cardiovascular parameter measurements, each test cardiovascular parameter measurement includes a cardiovascular parameter measured for a patient of the plurality of patients; and validating the cardiovascular parameter monitor based on an analysis of the plurality of reference cardiovascular measurements and the plurality of test cardiovascular parameter measurement.

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 heat spreader is disclosed with regions where material is absent to reduce the mass/weight of the heat spreader without substantially reducing the temperature of the semiconductor chip and without substantially affecting the warpage and mechanical stress/strain in the electronic package.

Abstract: A chip package comprises a chip having a first temperature sensor. The first temperature sensor is configured to measure a first temperature of the chip in a localized area around the first temperature sensor. The chip package also includes a chip carrier coupled to the chip via a plurality of solder connections. The chip carrier includes a second temperature sensor vertically aligned with the first temperature sensor. The second temperature sensor is configured to measure a second temperature of the chip carrier in a localized area around the second temperature sensor. The chip carrier further includes a localized heater element located near the second temperature sensor and configured to generate heat in response to a detected difference based on comparison of the first temperature and the second temperature such that the detected difference is adjusted in the localized area around the first temperature sensor.

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 structure including a plurality of dielectric regions is described. The structure can include a rivet cell. The rivet cell can include a set of stacked vias. The rivet cell can extend through a stress hotspot of the structure. A length of the rivet cell can thread through at least one dielectric region among the plurality of dielectric regions. The rivet cell can be among a number of rivet cells inserted in the stress hotspot. The stress hotspot can be among a plurality of stress hotspots across the structure. A length of the rivet cell can be based on a model of a relationship between the length of the rivet cell and an energy release rate of the structure. The rivet cell can thread through an interface between a first dielectric region and a second dielectric region having different dielectric constants.