Published March 16, 2017
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Presentation of: Extraction of respiratory signals from the electrocardiogram and photoplethysmogram: technical and physiological determinants
Description
An introduction to the Respiratory Rate Estimation (RRest) project, with a focus on the assessment of RR algorithms reported in this publication:
Charlton P.H. et al. Extraction of respiratory signals from the electrocardiogram and photoplethysmogram: technical and physiological determinants, Physiological Measurement, 2017. DOI: http://doi.org/10.1088/1361-6579/aa670e
This presentation is designed for use in Journal Club settings. Originally presented at the University of Oxford on 11th May 2016.
Notes
This work was supported by the UK Engineering and Physical Sciences Research Council (EPSRC, Grant EP/H019944/1); the Oxford and King's College London Centres of Excellence in Medical Engineering funded by the Wellcome Trust and EPSRC under Grants WT88877/Z/09/Z and WT088641/Z/09/Z; the National Institute for Health Research (NIHR) Biomedical Research Centre based at Guy's & St Thomas' NHS Foundation Trust and King's College London; the NIHR Oxford Biomedical Research Centre Programme; a Royal Academy of Engineering Research Fellowship (RAEng) awarded to David A Clifton; and an EPSRC Challenge Award to David A Clifton. The views expressed are those of the authors and not necessarily those of the EPSRC, Wellcome Trust, NIHR, NHS, Department of Health or RAEng.
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Respiratory signals.pdf
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- Cites
- 10.1088/1361-6579/aa670e (DOI)
References
- Charlton P.H. et al. Extraction of respiratory signals from the electrocardiogram and photoplethysmogram: technical and physiological determinants, Physiological Measurement, 2017. DOI: 10.1088/1361-6579/aa670e