AI-HRV Sepsis Shock Prediction Model
Technology Introduction:
The AI-HRV Sepsis Prediction Model is an advanced, real-time software that utilizes ECG-based heart rate variability (HRV) and machine learning to predict septic shock up to 120 minutes prior to its onset. The system extracts 10 HRV features—including time, frequency, and non-linear metrics—and applies an XGBoost model to estimate risk. It integrates with EHRs, delivers alerts, supports mobile notifications, and enables early, non-invasive, and scalable interventions in critical care.
Industry Applicability:
This AI-HRV system predicts septic shock up to 120 minutes in advance, enabling early intervention in emergency and ICU settings. It integrates seamlessly with existing ECG and hospital information systems, requiring no additional hardware. Its scalable, non-invasive design supports smart hospital deployment, remote monitoring, and commercialization. This innovation enhances critical care efficiency and holds global potential for sepsis management transformation.
The AI-HRV Sepsis Prediction Model is an advanced, real-time software that utilizes ECG-based heart rate variability (HRV) and machine learning to predict septic shock up to 120 minutes prior to its onset. The system extracts 10 HRV features—including time, frequency, and non-linear metrics—and applies an XGBoost model to estimate risk. It integrates with EHRs, delivers alerts, supports mobile notifications, and enables early, non-invasive, and scalable interventions in critical care.
Industry Applicability:
This AI-HRV system predicts septic shock up to 120 minutes in advance, enabling early intervention in emergency and ICU settings. It integrates seamlessly with existing ECG and hospital information systems, requiring no additional hardware. Its scalable, non-invasive design supports smart hospital deployment, remote monitoring, and commercialization. This innovation enhances critical care efficiency and holds global potential for sepsis management transformation.
Industrial Applications:
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Chang Gung University
Centering on biotechnology research and medical studies, Chang Gung University set up research centers in medicine, engineering, management and other related fields. Furthermore, the university integrates research resources from an array of research teams to achieve the best results. In addition, we apply high technology to our two main research themes "cross-platform precision medical strategy" and "comprehensive smart health care". Our goal is to develop a comprehensive smart health care “iHealthCare” system, so as to continue promoting interdisciplinary, international cutting-edge advanced research and cultivating talents. To develop a number of interdisciplinary research centers is another focus of the university. We have been working towards the establishment of interdisciplinary research centers, as well as integrating and coordinating each college’s expertise in various fields, including precision medicine, healthy aging, disease infection, biomedical engineering, data science, artificial intelligence, management, decision-making optimization, and long-term health care, etc. It is worth noting that research objectives in various fields in conjunction with artificial intelligence technology serve to guide teachers to participate in relevant research and industry-academia cooperation. We expect that such an approach could improve interdisciplinary cooperation and add value to research and its application.
Contact Information
Name：-
Tel：03-328-1200 #2481
Address：259 Wen-Hwa 1st Road, Kwei-Shan Tao-Yuan,Taiwan,333, R.O.C.
Additional Information
Pavilion：Future Tech Artificial Intelligence FD17
Exhibiting Entity：National Science and Technology Council
Application Category：Information and Communications
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Pavilion：Future Tech Artificial Intelligence FD17
Exhibiting Entity：National Science and Technology Council
Application Category：Information and Communications
