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. Since then he has conducted his research at King’s College London.
For several years Peter investigated the utility of wearable sensors to detect clinical deteriorations. He worked jointly with Guy’s and St Thomas’ NHS Foundation Trust to develop techniques to estimate respiratory rate from physiological signals which are routinely measured by wearable sensors. For his Ph.D. he assessed their performance, and developed a novel technique specifically for use in the ambulatory environment. 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 techniques for use in community and hospital settings. These techniques will provide early warning 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 undergraduate education. 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.
The research I am involved in focuses on physiological monitoring of hospital patients, divided into three areas:
- Development of signal processing techniques for estimation of clinical parameters: I have focused on unobtrusive estimation of respiratory rate for use in ambulatory settings, invasive estimation of cardiac output for use in critical care, and novel techniques for analysis of pulsatile cardiovascular signals.
- Evaluation and development of patient monitoring technologies: One aspect of my research is the evaluation of technologies for the acquisition of continuous and intermittent physiological measurements in both ambulatory and intensive care settings.
- Detection of clinical deteriorations: I am developing techniques to transform continuous monitoring data into measurements which are appropriate for real-time alerting of patient deteriorations.
The respiratory rate
estimation project COest
Evaluation of cardiac
output monitors Listen
Techniques for early detection
of clinical deteriorations
The image library provides some of the images which I have used in publications. These images can be reused in publications, presentations, etc (subject to the licence conditions).
For further information please see the following:
- King's College London webpage: Biography and links to publication full texts
- Google Scholar profile: A list of publications
- GitHub profile: Code repositories
I can be contacted at peter.charlton (usual symbol) kcl.ac.uk