Key result
A proposed algorithm for separating arterial and venous signals from photoplethysmographs extracted breathing rate with an average root mean square deviation of 1.89 and mean difference of -0.69.
Effect estimate: RMSD 1.89, mean difference -0.69
The proposed blind source separation algorithm successfully extracts accurate arterial oxygen saturation and respiratory rate from photoplethysmograph signals.
May support non-invasive respiratory monitoring from routine PPG; leaves open prospective clinical validation before adoption.
We propose an algorithm for separating arterial and venous-related signals using second-order statistics of red and infrared signals in a blind source separation technique. The separated arterial signal is used to compute accurate arterial oxygen saturation. We have also introduced an algorithm for extracting the respiratory pattern from the extracted venous-related signal. In addition to real-time monitoring, respiratory rate is also extracted. Our experimental results from multiple subjects show that the proposed separation technique is extremely useful for extracting accurate arterial oxygen saturation and respiratory rate. Specifically, the breathing rate is extracted with average root mean square deviation of 1.89 and average mean difference of -0.69.
No takes yet. Share an insight, caveat, or question.
Yousefi et al. (2014) studied this question. Blind source separation algorithm for photoplethysmographs was evaluated on Extraction of accurate arterial oxygen saturation and respiratory rate (RMSD 1.89, mean difference -0.69). A proposed algorithm for separating arterial and venous signals from photoplethysmographs extracted breathing rate with an average root mean square deviation of 1.89 and mean difference of -0.69.
Synapse has enriched 4 closely related papers on similar clinical questions. Consider them for comparative context: