Peter Charlton specialises in the development of signal processing techniques to measure physiological parameters. He gained the degree of M.Eng. in Engineering Science in 2010 from the University of Oxford with first class honours. From 2010-2020 he conducted his research at King’s College London (KCL) in collaboration with Guy’s and St Thomas’ NHS Foundation Trust (GSTT). He now works at the University of Cambridge (details here).

For several years Peter investigated the utility of wearable sensors to detect clinical deteriorations. He worked jointly with GSTT to develop techniques to estimate respiratory rate from physiological signals which are routinely measured by wearable sensors. Peter and his colleagues were awarded the 2017 Martin Black Prize for this work. For his Ph.D. he assessed their performance, and developed a novel technique specifically for use with ambulatory patients. He then used this technique in a National Clinical Trial to continuously assess the likelihood of deteriorations in acutely-ill patients.

Peter’s present research focuses on non-invasive assessment of arterial stiffness, a predictor of cardiovascular events. He is assessing and developing pulse wave analysis techniques for use in community and hospital settings. These techniques will provide early diagnosis of increased arterial stiffness, and could be used to prompt clinical interventions and potentially reduce the likelihood of major events such as heart failure or stroke.

Peter also contributes towards education, supervising undergraduates and postgraduates, and teaching on the BEng Biomedical Engineering course at KCL. He has a keen interest in making research and teaching materials publicly available, and ensures that where possible the datasets and code he uses are made available for future use. Peter is an active member of the university and wider communities, being a member of: the Early Career Researcher and Athena SWAN committees at KCL; the International Advisory Board for the journal of Physiological Measurement; and helping to run a widening participation scheme at KCL.

Peter Charlton specialises in the development of signal processing techniques to measure physiological parameters. He is a member of the Haemodynamic Modelling Research Group within the Department of Biomedical Engineering at King's College London, working in collaboration with clinicians at Guy's and St Thomas' NHS Foundation Trust.

For several years Peter investigated the utility of wearable sensors to detect clinical deteriorations. He worked jointly with GSTT to develop techniques to estimate respiratory rate from physiological signals which are routinely measured by wearable sensors. Peter and his colleagues were awarded the 2017 Martin Black Prize for this work. For his Ph.D. he assessed their performance, and developed a novel technique specifically for use with ambulatory patients. He then used this technique in a National Clinical Trial to continuously assess the likelihood of deteriorations in acutely-ill patients.

Peter’s present research focuses on non-invasive assessment of arterial stiffness, a predictor of cardiovascular events. He is assessing and developing pulse wave analysis techniques for use in community and hospital settings. These techniques will provide early diagnosis of increased arterial stiffness, and could be used to prompt clinical interventions and potentially reduce the likelihood of major events such as heart failure or stroke.

If you would like to find out more about Peter's research, then please see:

• His PhD thesis
• A list of publications

In addition, the following profiles provide additional information:

• His Google Scholar profile
• His Personal Website