Peter Charlton

Peter Charlton is a British Heart Foundation Research Fellow at the University of Cambridge and Senior Research Scientist at Nokia Bell Labs. He specializes in biomedical signal processing techniques for wearable devices in cardiovascular and respiratory health monitoring.

• MEng in Engineering Science (First Class) from University of Oxford (2010)
• PhD in Bioinformatics from King’s College London (2017)

His research focuses on:

• Development of robust signal processing algorithms for wearables
• Atrial fibrillation screening through the SAFER programme
• Vascular ageing assessment via the VascAgeNet network
• Machine learning applications in photoplethysmography (PPG) analysis

Article trends show emphasis on:

• PPG technology in cardiovascular monitoring
• Signal quality assessment for clinical reliability
• AI/ML integration in wearable diagnostics

Scientific achievements include:

• Recipient of the 2023 Martin Black Prize for best paper in Physiological Measurement
• Contributing to the 2023 Wearable Photoplethysmography Roadmap

Collaborative efforts span:

• Academic: King’s College London, City University London
• Industrial: wearables developers and biomedical device manufacturers

He leads clinical studies on wearables acceptability in older adults and develops open-source tools like pyPPG and PulseAnalyse for PPG analysis.