Peter Charlton is a British Heart Foundation Research Fellow in the Department of Public Health and Primary Care, at the University of Cambridge. He develops biomedical signal processing techniques to analyse data from digital wearable devices for clinical decision making.
Peter gained the degree of M.Eng. in Engineering Science in 2010 from the University of Oxford with first class honours. From 2010 to 2020, Peter conducted his research at King’s College London, developing techniques to use wearables to monitor cardiovascular and respiratory health. His Ph.D. focused on using signal processing and machine learning techniques to identify acute deteriorations in hospital patients. Peter is currently developing techniques to use clinical and consumer devices in screening for atrial fibrillation. He is leading a clinical study to assess the acceptability and performance of wearables in older adults.
Peter works in collaboration with clinicians and industrial partners to translate his work into clinical practice.
PhD in Bioinformatics, 2017
King's College London
MEng in Engineering Science, 2010
University of Oxford
Developing an algorithm to estimate respiratory rate from wearable photoplethysmogram (PPG) signals for use in daily life.
Understanding photoplethysmography - the technology, data processing, and clinical applications
A database of simulated pulse waves for the design and assessment of pulse wave analysis algorithms.