Abstract: System and method for measuring dyslipidemia condition of a subject using thermal imaging is disclosed. The disclosed system and method includes thermal sensors for capturing thermal images and/or videos of a body part; and a processing engine to detect a predefined region of the body part in each frame of the captured images and/or videos. The processing engine segments one or more portions from the predefined region in each frame of the captured images and/or videos to identify a ROI comprising arteries in the segmented portions. Based on the identified region of interest, the engine extracts pixel values, representing biosignals, from each frame of the captured images and/or videos to determine parameters associated with a rate of atherosclerotic, levels of lipids and lipoproteins, and hemodynamic factors of the subject. Further a risk score for the dyslipidemia condition based on the determined parameters using computational models is measured.

Abstract: A system and method for measuring health parameters of a subject is disclosed. The system and method are based on a mirror; an image acquisition unit configured with the mirror, and comprising a thermal sensor for capturing thermal images or videos of a body part of the subject; and a processing unit to receive data packets associated with the captured thermal images or videos from the image acquisition unit to identify a region of interest of the body part in each frame of the captured thermal images and videos. Further, the processing unit extracts attributes associated with a heat intensity variation from the identified region of interest region, and compares the extracted attributes with a predetermined set of reference data to measure risk scores associated with the health parameters of the subject based on the comparison. The measured risk scores are displayed by a display unit.