Systemic Inflammatory Response Indication Observer (SIRIO)
Systemic Inflammatory Response Indication Observer (SIRIO)
批准号:
389432072
负责人:
Professor Dr.-Ing. Steffen Leonhardt
金额:
$0.0万
依托单位国家:
德国
项目类别:
Research Grants
财政年份:
2017
资助国家:
德国
项目状态:
已结题
起止时间:
2016-12-31 至 2021-12-31
中文摘要
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英文摘要
The aim of the SIRIO project (Systemic Inflammatory Response Indication Observer) is the development of a hybrid camera monitoring system for an early detection of sepsis in premature infants. SIRIO fuses the camera-based vitalparamater monitoring systems Photoplethysmography Imaging and Infrared Imaging into a camera-based Hybrid Imaging technology for the vital state detection in neonates. Both methods are novel approaches to obtain vital parameters contactless. Hence, they can operate in addition to the existing infrastructure. A further advantage is that there is no direct contact with the patient so that the premature infant skin is not harmed. In general, the patient is not subjected to any additional stress and there is no risk of infection (caused by the measurement technique). This hybrid measuring technique allows the contactless detection of vital signs, including: 1) cutaneous blood circulation, 2) heart and respiratory rate as well as their variability, 3) the skin perfusion (central and peripheral), 4) skin coloring, and 5) physical activity.From these measured parameters, first septic indications will be automatically recognized. These septic features will be fused into a scoring parameter. This scoring parameter will be derived from the Pediatric Early Warning Score (PEWS), which is already established in the clinical routine. In case of first septic signs, an alarm is triggered, so that the next manual steps can be initiated according to the standard treatment guidelines without time loss: confirmation of the diagnosis, e.g. by checking the capillarization time, determination of blood culture and subsequent therapy.The project envisages the implementation of the hybrid monitoring concept and the development of signal processing routines, which provide a real-time decision support system for the attending clinical staff - unobtrusively and additively to the existing infrastructure at the neonatology station.For this project, the local Ethics Committee authorized a clinical human study with 20 preterm infants. Based on preclinical tests, the feasibility of this system will be proved within this study.
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