ArticleFrontiers in bioengineering and biotechnology2026
Experimental evaluation of a real-time implementation of compensatory reserve measurement in a human model of hemorrhagic shock.
Article in Frontiers in bioengineering and biotechnology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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Who cites it
1 citing paper in PubMed.
- Real-Time Comparison of Machine Learning-Enabled Devices for Measuring Compensatory Reserve Status.Bioengineering (Basel, Switzerland) · 2026Article
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Authors and funding
6 authors.
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No grant is acknowledged in the PubMed record.
Abstract
Introduction: The leading cause of preventable traumatic death is hemorrhage. Early detection of hemorrhagic shock remains a critical challenge. For the early prediction of hemorrhagic shock-related cardiovascular decompensation, our team has developed the compensatory reserve measurement (CRM) algorithm. CRM uses a photoplethysmography waveform to quantify the body's capacity to compensate during hypovolemia. This study focuses on the development and use of an application that can predict CRM in real-time (CRM Methods: The CRM Results: CRM was successfully implemented for RT data capture during the research study. The CRM Discussion: The CRM
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