Possibility of Extracting Feature Value from the Changes in Brightness Over Time of Blood Coagulation in the Extracorporeal Circuit

Abstract

Blood clotting is measured by using a pressure sensor in a blood circuit, but the sensor doesn’t respond quick enough because the blood clotting can only be detected by an increase of the pressure caused by the clotting itself. This research is to evaluate predictive maintenance on MATLAB, based on our report at SEIA’2019 Conference for imaging data from a new sensing method for blood clotting (photoacoustic imaging with LED light). When the luminance of the imaging data (0-255 levels) was randomly analysed from photoacoustic imaging in a grid pattern, an increase or decrease of the luminance was seen at certain levels before and after the clotting. These important changes suggest that it may lead to a reduction in the amount of data handled during predictive maintenance of blood coagulation status.

Keywords

• blood clotting
• photoacoustic imaging
• led
• circuit in an extracorporeal device
• temporal observation
• matlab
• predictive maintenance