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An automated algorithm for determining respiratory rate by photoplethysmogram in children
Paul A Leonard1, David Clifton, Paul S Addison
1Department of Accident and Emergency Medicine, Royal Hospital for Sick Children, Edinburgh, Scotland, UK. paul_leonard@blueyonder.co.uk
Acta Paediatrica (Oslo, Norway : 1992)
|August 30, 2006
Summary
An automated algorithm accurately measures respiratory rate in children using pulse oximeter waveforms (photoplethysmograms). This non-invasive method shows close agreement with manual breathing counts, offering potential for integration into standard pulse oximetry.
Area of Science:
- Biomedical Engineering
- Pediatric Pulmonology
- Signal Processing
Background:
- Developed an automated algorithm for measuring respiratory rate directly from photoplethysmogram (PPG) signals.
- PPG, commonly known as the pulse oximeter waveform, offers a potential non-invasive source for respiratory rate monitoring.
Purpose of the Study:
- To evaluate the accuracy of the automated algorithm in determining respiratory rate in pediatric patients.
- To assess the feasibility of using PPG signals for non-invasive respiratory monitoring in children.
Main Methods:
- Collected PPG data from 18 children (18 months to 12 years) in a pediatric Accident and Emergency Department.
- Simultaneously recorded respiratory rate manually via observer synchronization and automatically using a wavelet-based algorithm analyzing the PPG signal.
- Compared the automated wavelet-based respiratory rate with the manually derived respiratory rate.
Main Results:
- The automated algorithm demonstrated a close correspondence with manual respiratory rate measurements.
- The difference between automated and manual respiratory rates was less than one breath per minute across all participants.
- The study included children with spontaneous breathing rates ranging from 17 to 27 breaths per minute.
Conclusions:
- The automated algorithm accurately determines respiratory rate from PPG in a diverse group of children.
- Wavelet-based signal processing techniques show promise for integration into existing pulse oximetry devices.
- This non-invasive method provides a reliable alternative for respiratory rate assessment in pediatric care.
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