This project seeks to create a noninvasive, integrative hardware and software monitoring solution that prevents low cardiac output syndrome (LCOS), the leading cause of postoperative mortality in children and adults with congenital heart disease (CHD). This wearable technology would allow for continuous, high quality data acquisition of cardiac output information from children with congenital heart disease, leveraging a novel multi-modal approach that integrates four different sensors on a non-invasive patch. These advances in hardware integration will be combined with machine learning methods to match the combined sensor signals and cardiac output.