Respiratory rate detection algorithms by photoplethysmography signal processing

Photoplethysmography(PPG) offers the clinically meaningful parameters, such as, heart rate, and respiratory rate. In this study, we presented three respiratory signal detection algorithms using photoplethysmography raw data generated from commercial PPG sensor: (1)Min-Max (2)Peak-to-Peak (3)Pulse Sh...

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Vydané v:2008 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society Ročník 2008; s. 1140 - 1143
Hlavní autori: Lee, E. M., Kim, N. H., Trang, N. T., Hong, J. H., Cha, E. J., Lee, T. S.
Médium: Konferenčný príspevok.. Journal Article
Jazyk:English
Vydavateľské údaje: United States IEEE 01.01.2008
Predmet:
Accuracy
Algorithms
Biomedical engineering
Diagnosis, Computer-Assisted - methods
Electronic mail
Filtering
Humans
Medical diagnostic imaging
Min-Max
Moving average filtering technique
Nose
Oscillometry - methods
Peak-to-Peak
Photoplethysmography
Photoplethysmography - methods
Pulse Shape
Reproducibility of Results
Respiratory Mechanics - physiology
Sensitivity and Specificity
Shape
Signal processing algorithms
Signal Processing, Computer-Assisted
Temperature measurement
ISBN:9781424418145, 1424418143
ISSN:1094-687X, 1557-170X, 2375-7477
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Popis
Shrnutí:Photoplethysmography(PPG) offers the clinically meaningful parameters, such as, heart rate, and respiratory rate. In this study, we presented three respiratory signal detection algorithms using photoplethysmography raw data generated from commercial PPG sensor: (1)Min-Max (2)Peak-to-Peak (3)Pulse Shape. As reference signal, nasal sensor signal was acquired simultaneously and compared and analyzed. We used two types of moving average filtering technique to process three PPG parameters. In laboratory experiment, 6 subjects' PPG signals were measured when they respire ten and fifteen, and arbitrary times per minute. From the results, following conclusions were drawn. Min-Max and Peak-to-Peak algorithms perform better than Pulse shape algorithm. They can be used to detect respiratory rate. But, Pulse Shape algorithm was accurate for subject 4 only. More experimental data is necessary to improve the accuracy and reliability.
Bibliografia:ObjectType-Article-1
SourceType-Scholarly Journals-1
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content type line 23
ISBN:9781424418145
1424418143
ISSN:1094-687X
1557-170X
2375-7477
DOI:10.1109/IEMBS.2008.4649362