We present a novel approach utilizing non-invasive near-infrared spectroscopy (NIRS) to assess disease severity in Extracorporeal Membrane Oxygenation (ECMO) patients. By monitoring lower limb microcirculation, our real-time assessment enables informed adjustments to ECMO settings and cardiovascular drug dosages, potentially mitigating complications and improving patient outcomes. Through machine learning, we classified VV-ECMO and VA-ECMO patient populations into high and low disease severity groups with an accuracy of 80%. The NIRS and support vector machine(SVM) combination demonstrate promising potential for clinically distinguishing disease severity in ECMO patients, providing valuable treatment insights and predictive tools for patient conditions and prognoses.
Although the basic mechanism of ECMO and related treatment have been increasingly mature, there is still a high proportion of complications. Currently, clinicians can only adjust the pattern of ECMO through basic physiological signs, but this method is not good at detecting hemodynamic changes in peripheral tissues, and there is no reliable and immediate evaluation mechanism.
In this study, the ability of subknee blood circulation was evaluated by fNIRS. Monitoring and adjusting blood perfusion volume of peripheral tissues can reduce the incidence of complications and achieve the feasibility and effectiveness of the ability assessment of blood circulation function.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
INSTITUTIONAL Select your institution to access the SPIE Digital Library.
PERSONAL Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.