Optical sensor for remote estimation of CO₂ concentration in the blood stream

Speckle pattern analysis become a widespread method for remote sensing of various biomedical parameters. This technique is based on tracking the secondary speckle patterns reflected from a human skin illuminated by a laser beam. Speckle pattern variations can be translated into the corresponding partial carbon dioxide (CO₂) state (High or Normal) in the bloodstream. We present a novel approach for remote sensing of human blood carbon dioxide partial pressure (PCO₂) based on speckle pattern analyses combined with machine learning approach. The blood CO₂ partial pressure is an important indicative parameter for a variety of malfunctions in the human body.