Patch for hemodynamic and hemorrhage monitoring - PROJECT SUMMARY/ABSTRACT Trauma remains a leading cause of death globally, with hemorrhage being a significant contributor. The need for improved trauma care and management is evident, especially in reducing mortality related to hemorrhagic shock and addressing racial disparities in trauma outcomes. This project aims to develop a novel, integrated, wearable hemodynamic platform (iMOMS) designed for the early detection and management of hemorrhage, leveraging advancements in Micro-Electro-Mechanical Systems (MEMS), laser speckle imaging (LSI), and diffuse optical spectroscopy (DOS). By integrating these technologies with machine learning algorithms, iMOMS promises to enhance trauma care through improved monitoring of vital signs and hemodynamic parameters, thus facilitating timely interventions. We will pursue the following Aims: 1) Validate the iMOMS platform in a rabbit model of hemorrhage, focusing on the accurate, continuous measurement of vital signs and hemodynamic parameters. This aim tests iMOMS' ability to monitor and record heart rate, blood pressure, cardiac output, blood flow, hemoglobin oxygen saturation, and oxygen consumption during controlled hemorrhage, leveraging the rabbit model's physiological similarities to humans. 2) Develop and refine a machine learning model to predict hemorrhage by integrating multimodal data streams from humans and rabbits. This includes building an MMML model to identify early indicators of hypovolemia and creating a model for more accurate hemorrhage prediction in humans through transfer learning and domain adaptation from the animal model. 3) Test the iMOMS prototype and ML model in the operating room on patients at high risk for hemorrhage. This includes determining the accuracy of monitored vital signs and testing and refining the ML model developed in Aim 2 for predicting hemorrhage in various surgical patients. The successful completion of this project is expected to have a significant impact on trauma care by providing a reliable, non-invasive, and comprehensive monitoring system capable of early hemorrhage detection. By improving the accuracy and timeliness of interventions, iMOMS has the potential to save lives and advance the field of trauma management significantly.
