Data used in paper 'An Assessment of Algorithms to Estimate Respiratory Rate from the Electrocardiogram and Photoplethysmogram'



This dataset contains electrocardiogram (ECG), photoplethysmogram (PPG), Impedance Pneumography (imp) and reference oral-nasal pressure (paw) signals acquired from young subjects (aged 18-39). Data were acquired for approximately 10 minutes while lying supine at rest. Following this subjects were asked to run on a treadmill (data are not provided from this period). Data were then collected during a second recording period whilst subjects recovered from the exercise, lying supine once again. An example of the signals available in the dataset is included in the accompanying ReadMe file.
Further details of the dataset and acquisition procedures are provided in the published paper: Charlton P.H. and Bonnici T.B. et al., An assessment of algorithms to estimate respiratory rate from the electrocardiogram and photoplethysmogram, Physiological Measurement, 37(4), 2016. DOI: 10.1088/0967-3334/37/4/610
Data files included in this dataset:VORTAL_rest_data.matVORTAL_rec_data.mat
For access to the data files, please contact
Date made available22 Mar 2017
PublisherKing's College London

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