Former student
Project Title: Continuous respiratory rate monitoring to detect clinical deteriorations using wearable sensors
End date: 1/06/2017
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Peter Charlton is a member of the Critical Care Department at Guy's and St Thomas' NHS Foundation Trust; a member of the Haemodynamic Modelling Research Group at King's College London; and a member of the Computational Health Informatics Laboratory at the University of Oxford.
His research focuses on development, and clinical integration, of physiological monitoring techniques for early detection of clinical deteriorations. This involves: (i) testing early warning systems and wearable sensors in the hospital environment; (ii) developing signal analysis techniques to extract physiological parameters from physiological signals; and (iii) design of early warning algorithms by using machine learning to fuse physiological parameters, indicating the likelihood of deterioration.
His Google Scholar profile is available here.
His Github profile is available here, which includes the Respiratory Rate Estimation Project.
Research output: Contribution to journal › Article › peer-review
Research output: Contribution to journal › Article › peer-review
Research output: Contribution to journal › Article › peer-review
Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review
Research output: Contribution to journal › Article › peer-review
Research output: Contribution to journal › Article › peer-review
Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review
Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review
Research output: Contribution to journal › Article › peer-review
Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review
Research output: Contribution to journal › Article › peer-review
Research output: Contribution to journal › Article › peer-review
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