Respiratory Rate Clinical Trial
Official title:
Validation of Respiration Rate Algorithms
Continuous accurate unobtrusive respiratory rate monitoring may lead to improved patient
outcomes, as respiratory rate is thought to be a sensitive marker of patient deterioration.
Currently systems are not suitable for long term monitoring, particularly in ambulant
patients as they are too restrictive. To ensure that our algorithms are suitable for use in
a clinical context we need to demonstrate their performance not only in the optimal
situation, healthy volunteers at rest, but also in more challenging situations such as where
the person being monitored is moving and also in patients who have conditions which may
affect their physiology in such a way that the accuracy of the respiration rate estimation
may be affected.
No previous study has systematically tested algorithms deriving respiratory rate from either
the ECG or the photoplethysmography (PPG) waveforms in a real -world setting.
The algorithms work by looking for changes in intervals between heartbeats and also changes
in the sizes of the ECG and PPG waveforms, both of which may be caused by respiration. These
changes tend to diminish with increasing age and also conditions which alter the chest
movement and cardiac reflexes. Thus it is important to test our algorithms' accuracy in
participants exhibiting these conditions. It is also important to ensure that the
calculations of respiratory rate are accurate across a range of heart rates and respiratory
rates. Our testing covers all these variables.
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Observational Model: Cohort, Time Perspective: Prospective
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