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Data used in paper 'Extraction of respiratory signals from the electrocardiogram and photoplethysmogram - technical and physiological determinants'

posted on 2021-09-12, 20:31 authored by Peter H. Charlton, Timothy Bonnici, Lionel Tarassenko, Jordi Alastruey, David A. Clifton, Richard Beale, Peter J. Watkinson
This dataset contains electrocardiogram (ECG), photoplethysmogram (PPG), Impedance Pneumography (imp) and reference oral-nasal pressure (paw) signals acquired from young subjects (aged 18-39) and elderly subjects (aged 70+). Data were acquired for approximately 10 minutes while lying supine at rest. This dataset is intended to facilitate evaluation of the performance of algorithms for estimation of respiratory rate (RR) from the ECG and PPG. It can also be used to evaluate the influence of technical and physiological factors on the performance of RR algorithms. It was collected during National Clinical Trial no. 01472133, and reported in the following publication: Charlton P.H. et al., Extraction of respiratory signals from the electrocardiogram and photoplethysmogram: technical and physiological determinants, Physiological Measurement, 38(5), 2017. DOI: 10.1088/1361-6579/aa670e . Further details of the dataset and acquisition procedures are provided in this publication. An example of the signals available in the dataset is included in the accompanying ReadMe file.

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Data collection from date


Data collection to date


Collection method

Physiological signals acquired from healthy volunteers lying supine. Further details are provided in the accompanying publication.



Copyright owner

Peter H. Charlton, King's College London; Timothy Bonnici, King's College London; Richard Beale, King's College London