A system based on algorithms for processing low-quality video streams has been created to draw conclusions about the human cardiovascular system using calculated parameters of the signal obtained by wavelet analysis.
Main benefits
The necessary accuracy and reliability of results are ensured, which makes it possible to identify even minor changes in cardiovascular activity, as well as to draw conclusions about the cardiovascular system by measuring the parameters of variability, respiratory waves, regulation, and other internal processes.
Problem solving
The development helps filter out problematic areas of the RPPG signal caused by lack of lighting, motion artifacts in the frame, autofocus, the influence of external lighting frequency, and camera image encoding effects.
We offer
joint refinement of the development to industrial level, creation of similar systems based on this