Method and system for acquiring data for assessment of cardiovascular disease

1. A method for assessing cardiovascular health of an individual, comprising:

receiving a time series of data of a body region of the individual at a camera module of a mobile computing device;

determining a pressure distribution and a positional map of the body region touching the camera module of the mobile computing device for each of a set of frames of the time series of data;

performing an active pixel analysis operation with the time series of data, wherein performing the active pixel analysis comprises distinguishing an active pixel set for each of the set of frames of the time series of data;

aggregating at least one of the pressure distributions, the positional maps, and the active pixel sets of the set of frames of the time series of data into a aggregated time series of data;

determining a cardiovascular health risk assessment of the individual based upon the aggregated time series; and

based upon the cardiovascular health risk assessment, providing an intervention to the individual.

2. The method of claim 1 , further comprising:

collecting ambient light data from a second camera module of the mobile computing device; and

wherein generating the aggregated time series of data comprises normalizing the pixel set of the set of frames of the time series of data with the ambient light data from the second camera module.

3. The method of claim 1 , wherein determining the pressure distribution comprises analyzing images of the body region touching the camera module of the mobile computing device.

4. The method of claim 1 , wherein determining the positional map comprises processing gradients in image pixel intensity across the frames of the time series of data.

5. The method of claim 4 , wherein processing the gradients in the image pixel intensity further comprises determining a position variability of the body region of the individual across the frames of the time series of data.

6. The method of claim 5 , further comprising:

performing a signal quality filtering operation on the aggregated time series of data; and

extracting a subset of the aggregated time series of data satisfying a signal quality threshold condition, wherein the signal quality threshold condition comprises a position variability threshold.

7. The method of claim 1 , wherein determining a cardiovascular health risk assessment of the individual based upon the aggregated time series comprises:

transforming the aggregated time series of data into a set of cardiovascular biomarker values; and

transforming the set of cardiovascular biomarker values into the cardiovascular health risk assessment based on a risk threshold condition.

8. The method of claim 1 , further comprising in cooperation with receiving at least a portion of the time series of data, directing the individual to vary a configuration of the mobile computing device according to a set of orientations in space.

9. The method of claim 8 , further comprising:

identifying an orientation of the set of orientations that produces a signal of desired quality; and

prompting the individual to maintain the orientation during receiving the time series of data.

10. The method of claim 1 , wherein providing the intervention to the individual comprises automatically triggering a temperature output device in an environment of the individual to modify a temperature of the environment of the individual.

11. A method for assessing cardiovascular health of an individual, comprising:

receiving a time series of data of a body region of the individual at a device coupled to the individual;

determining a body region placement of the body region of the individual at the device coupled to the individual, for each of a set of frames of the time series of data;

determining an active pixel set for each of the set of frames of the time series of data;

aggregating the body region placement and the active pixel sets of the set of frames of the time series of data into an aggregated time series of data;

extracting a subset of the aggregated time series of data;

determining a health biomarker value of the individual based upon the subset of the aggregated time series; and

based on the health biomarker value, providing an intervention to the individual.

12. The method of claim 11 , wherein the time series of data comprises a time series of photoplethysmogram (PPG) data generated at a camera module.

13. The method of claim 11 , further comprising based on a risk threshold condition, transforming the health biomarker value to a cardiovascular health risk assessment.

14. The method of claim 11 , further comprising in cooperation with receiving at least a portion of the time series of data, directing the individual to vary a configuration of the mobile computing device according to a set of orientations in space.

15. The method of claim 14 further comprising:

identifying an orientation of the set of orientations that produces a signal of desired quality; and

prompting the individual to maintain the orientation during receiving the time series of data.

16. The method of claim 11 , wherein determining the active pixel set comprises implementing multidimensional scaling techniques to identify pixels of the time series of data characterized by an above threshold signal quality.

17. The method of claim 11 , wherein identifying the body region placement comprises determining at least one of a pressure distribution, and a positional map, of the body region touching the device coupled to the individual.

18. The method of claim 17 , wherein determining at least one of the pressure distribution, and the positional map, of the body region comprises analyzing images of the body region.

19. The method of claim 11 , further comprising:

performing a change point detection operation on the aggregated time series of data;

based on the change point detection operation, detecting changes in body region placement in the aggregated time series of data; and

wherein extracting a subset of the aggregated time series of data further comprises, extracting the subset of the aggregated time series of data based on a signal quality associated with the change point detection operation.

20. The method of claim 11 , wherein providing the intervention to the individual comprises automatically facilitating digital communications between the individual and a care provider.