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|Title: ||Poincare plot analysis for pulse interval extracted from non-contact photoplethysmography|
|Authors: ||Qiu, Yihong|
Cheang, Peck Yeng Sharon
Crabtree, Vincent P.
Smith, Peter R.
|Issue Date: ||2005|
|Publisher: ||© IEEE|
|Citation: ||QIU, Y. ... et al., 2005. Poincaré plot analysis for pulse interval extracted from non-contact photoplethysmography. IN: Proceedings of 2005 27th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (IEMBS 2005), Shanghai, China, 1-4 September 2005, pp.1964-1967.|
|Abstract: ||An analysis of pulse-to-pulse interval (PPI) derived from non-contact photoplethysmography (PPG) is performed using the Poincare plot technique. Eleven healthy volunteers participated in a protocol utilising both spontaneous and paced breathing methodologies with a customised non-contact PPG system to obtain adequate quality signals for a distance of 80 mm between source and detector. An adaptive trough-searching algorithm (ATSA) is developed to extract the PPI which is effective in the presence of artefact during non-contact PPG measurement. A Poincare plot for each 5 minute period of the protocol shows significant pattern differences between spontaneous and paced breathing measurements. Geometric parameters extracted from the Poincare plot are shown to be sensitive to breathing interval changes and are a useful indicator for the variation of pulse rate variability measured using non-contact PPG|
|Description: ||Closed access.|
|Sponsor: ||The authors express their great thanks to Royal Society,
UK (2004/R2-AS) and the National Natural Science
Foundation of China (No. 60272326) for sponsoring
academic visitors to carry out this joint study.|
|Publisher Link: ||http://dx.doi.org/10.1109/IEMBS.2005.1616838|
|Appears in Collections:||Closed Access (Mechanical, Electrical and Manufacturing Engineering)|
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