Fault Detection in Heart-Lung Machines Using Temporal Data Mining

Abstract

This paper proposes a method to detect faults in artificial heart-lung machines that is used during open-heart surgery to keep blood and oxygen moving throughout the body during the surgery. We use a temporal data mining approach for fault detection and also report the results for past surgeries.