Abstract
Respiratory rate (BR) is a basic biological variable that is employed in a range of therapeutic applications. Yet, clinicians manually measure breaths while diagnostically ignoring RR's value. An irregular breathing rate is typically the first indication of a debilitating condition. In healthcare settings, a reliable estimate of respiratory rate is crucial. Traditional methods estimate RR using either ECG or PPG. However, there is a lack of consensus among existing algorithms in order to improve RR detection performance. One easy method is to fuse the best performing algorithms, which may easily improve the RR estimation. In this review, we will look at how modulation may be used to identify breathing rates using ECG or PPG.
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