images

A library of publicly available images

This repository provides links to a library of images which I have used in my research, and can be reused subject to the license conditions. Click on the images for the full size versions.

Wearable Sensors

Wireless Wrist Pulse Oximeter

Wireless Wrist Pulse Oximeter

A photo of a WristOx2®, Model 3150 Wrist-worn Pulse Oximeter.

Source: P. H. Charlton, The Processes and Benefits of Sharing Clinical Data, Science and Engineering South Data Dialogue Event, Cambridge, UK, 2016. DOI: 10.5281/zenodo.166546

License: Creative Commons Attribution 4.0

Respiratory Rate Estimation

Respiratory Modulations of the electrocardiogram (ECG) and photoplethysmogram (PPG)

Respiratory Modulations

A diagram of three idealised respiratory modulations of the ECG and PPG: baseline wander (BW), amplitude modulation (AM) and frequency modulation (FM). Note that the Matlab ® code used to create this image is available here.

Source: P. H. Charlton and T. Bonnici et al., An assessment of algorithms to estimate respiratory rate from the electrocardiogram and photoplethysmogram, Physiological Measurement, vol. 37(4), 2016. DOI: 10.1088/0967-3334/37/4/610

License: Creative Commons Attribution 3.0

Extraction of respiratory signals from the photoplethysmogram (PPG)

Respiratory Signals

A diagram of the extraction of respiratory signals from the PPG. Note that the Matlab ® code used to create this image is available here.

Source: P. H. Charlton and T. Bonnici 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

License: Creative Commons Attribution 3.0

Feature-based extraction of respiratory signals from the electrocardiogram (ECG) and photoplethysmogram (PPG)

Feature-based Extraction

A diagram of feature-based extraction of respiratory signals from the ECG and PPG. Measurements of baseline wander (BW), amplitude modulation (AM) and frequency modulation (FM) have been extracted for each beat from fiducial points (shown as dots). Note that the Matlab ® code used to create this image is available here.

Source: P. H. Charlton et al., Breathing Rate Estimation from the Electrocardiogram and Photoplethysmogram: A Review, IEEE Reviews in Biomedical Engineering, 2017, Fig. 4. DOI: 10.1109/RBME.2017.2763681

License: Creative Commons Attribution 3.0