Webinars and Videos
Estimating respiratory rate from the ECG and PPG
This webinar provides a comprehensive overview of the state-of-the-art in estimating RR from the ECG and PPG. It is intended to equip researchers with the knowledge and tools to translate this promising technology into patient benefit.
Getting Started with the RRest Toolbox
This video provides a demonstration of how to get started with the RRest Toolbox of Respiratory Rate Algorithms.
The following presentations are available for download:
An assessment of algorithms
An introduction to the RRest project, with a focus on the assessment of RR algorithms reported in this publication. This presentation is designed for use in Journal Club settings. Originally presented at the University of Oxford. DOI: 10.5281/zenodo.166525
Extraction of respiratory signals from the ECG and PPG
An overview of the assessment of factors influencing respiratory signals extracted from the ECG and PPG reported in this publication. This presentation is designed for use in Journal Club settings. Originally presented at the University of Oxford. DOI: 10.5281/zenodo.400255
The processes and benefits of sharing clinical data
This talk considers the sharing of clinical trial data, using the RRest project as a case study. The typical processes of acquiring, managing and sharing clinical data are explained. The benefits of sharing data and tools are also highlighted. Originally presented at a Science and Engineering South event. The video of the original presentation is available here. DOI: 10.5281/zenodo.166546
Martin Black Prize Presentation
This presentation gives an overview of our initial paper on algorithms to estimate RR from the ECG and PPG. Originally presented at the MEIbioeng / MPEC 2017 Conference. DOI: 10.5281/zenodo.891179
The following poster presentations are available for download:
The Influence of Recording Equipment on the Accuracy of Respiratory Rate Estimation from the Electrocardiogram or Pulse Oximeter
Preliminary results of a comparison between RR estimates derived from signals acquired simultaneously using high fidelity and clinical monitoring equipment. Originally presented at the MEC and Bioengineering 14 conference. DOI: 10.5281/zenodo.439955
An assessment of algorithms to estimate respiratory rate from the ECG and PPG signals
A summary of the results presented in this publication. Originally presented at the MEIbioeng16 conference. DOI: 10.5281/zenodo.439966
Respiratory rate monitoring to detect deteriorations using wearable sensors
A summary of the results presented in Peter Charlton's Ph.D. Thesis. Originally presented at the Bioengenuity Keynotes conference. DOI: 10.5281/zenodo.1064813
Predicting clinical deteriorations using wearable sensors
An easily accessible summary of the results presented in Peter Charlton's Ph.D. Thesis. Originally presented at the 2018 STEM for Britain event at the UK Parliament. DOI: 10.5281/zenodo.1193295
Royston scientist presents in parliament about wearable sensors
A news article discussing our research and presentation at the UK Parliament.
The following blog posts describe particular aspects of the project:
Making reproducible research as natural as breathing
A short piece on the progress of the project towards making its research entirely reproducible.
Conducting a systematic review
Insights into systematic review methodology, considering: which search engines to use, how many to use, and choosing the search terms. Contains additional analyses of the literature review of studies of respiratory rate algorithms presented in our review paper.