Breathing Rate Estimation From the Electrocardiogram and Photoplethysmogram: A Review

@article{Charlton2018BreathingRE,
  title={Breathing Rate Estimation From the Electrocardiogram and Photoplethysmogram: A Review},
  author={Peter H. Charlton and Drew A. Birrenkott and Timothy Bonnici and Marco A. F. Pimentel and Alistair E. W. Johnson and Jordi Alastruey and Lionel Tarassenko and Peter J. Watkinson and Richard Beale and David A. Clifton},
  journal={IEEE reviews in biomedical engineering},
  year={2018},
  volume={11},
  pages={2 - 20}
}
Breathing rate (BR) is a key physiological parameter used in a range of clinical settings. Despite its diagnostic and prognostic value, it is still widely measured by counting breaths manually. A plethora of algorithms have been proposed to estimate BR from the electrocardiogram (ECG) and pulse oximetry (photoplethysmogram, PPG) signals. These BR algorithms provide opportunity for automated, electronic, and unobtrusive measurement of BR in both healthcare and fitness monitoring. This paper… 

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