Systems and methods for analyzing blood flow in a subject

A method of training one or more machine learning algorithms, the method comprising:

• generating a skin reflectance model describing a spectral reflectance of skin tissue;
• generating a plurality of training data points using the skin reflectance model, each of the plurality of training data points including (i) a pixel color value and (ii) a respective concentration of one or more chromophores corresponding to the pixel color value;
• and
• training the one or more machine learning algorithms with the training data such that the one or more machine learning algorithms are trained to determine a concentration of one or more chromophores in an area of skin of the subject based at least in part on image data associated with the area of skin of a subject.

A method of training one or more machine learning algorithms, the method comprising:

• generating a plurality of measurements of a concentration of one or more chromophores in skin tissue, each of the plurality of chromophore concentration measurement corresponding to a respective one of a plurality of subjects;
• forming training data by correlating each of the plurality of chromophore concentration measurements with a blood pressure measurement of the respective one of the plurality of subjects;
• and
• training one or more machine learning algorithms using the training data such that the one or more machine learning algorithms are trained to determine a measurement of blood pressure in a subject based at least in part on a measurement of the concentration of the one or more chromophores in skin tissue of the subject.