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Institute of Biomedical Engineering, Department of Engineering Science, University of Oxford, UK
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Non-contact video monitoring can detect apnoea-related breathing cessation in pre-term infants with surprising accuracy, outperforming traditional methods.
Unimodal impedance pneumography outperforms traditional monitoring methods, achieving up to 88% accuracy in detecting life-threatening apnoea events in pre-term infants.
Achieving a 0.96 AP50 score, this model significantly outperforms existing face detection systems in the complex neonatal environment, paving the way for advanced non-contact assessments.
