Advanced waveform analysis of the photoplethysmogram signal using complementary signal processing techniques for the extraction of biomarkers of cardiovascular function

被引:0
|
作者
Mathieu, Aristide Jun Wen [1 ]
Pascual, Miquel Serna [2 ]
Charlton, Peter H. [3 ]
Volovaya, Maria [2 ]
Venton, Jenny [2 ]
Aston, Philip J. [4 ]
Nandi, Manasi [2 ,5 ]
Alastruey, Jordi [1 ]
机构
[1] Kings Coll London, St Thomas Hosp, Fac Life Sci & Med, Sch Biomed Engn & Imaging Sci,Dept Biomed Engn, London, England
[2] Kings Coll London, Fac Life Sci & Med, Sch Canc & Pharmaceut Sci, London, England
[3] Univ Cambridge, Dept Publ Hlth & Primary Care, Cambridge, Cambs, England
[4] Univ Surrey, Dept Math, Guildford, Surrey, England
[5] Kings Coll London, Sch Canc & Pharmaceut Sci, Reader Integrat Pharmacol, Franklin Wilkins Bldg,150 Stamford St, London SE19NH, England
基金
英国惠康基金;
关键词
Photoplethysmogram; fiducial point analysis; Symmetric Projection Attractor Reconstruction; pulse wave morphology; pulse wave variability; vascular aging; BLOOD-PRESSURE;
D O I
10.1177/20480040231225384
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Introduction Photoplethysmogram signals from wearable devices typically measure heart rate and blood oxygen saturation, but contain a wealth of additional information about the cardiovascular system. In this study, we compared two signal-processing techniques: fiducial point analysis and Symmetric Projection Attractor Reconstruction, on their ability to extract new cardiovascular information from a photoplethysmogram signal. The aim was to identify fiducial point analysis and Symmetric Projection Attractor Reconstruction indices that could classify photoplethysmogram signals, according to age, sex and physical activity. Methods Three datasets were used: an in-silico dataset of simulated photoplethysmogram waves for healthy male participants (25-75 years old); an in-vivo dataset containing 10-min photoplethysmogram recordings from 57 healthy subjects at rest (18-39 or > 70 years old; 53% female); and an in-vivo dataset containing photoplethysmogram recordings collected for 4 weeks from a single subject, in daily life. The best-performing indices from the in-silico study (5/48 fiducial point analysis and 6/49 Symmetric Projection Attractor Reconstruction) were applied to the in-vivo datasets. Results Key fiducial point analysis and Symmetric Projection Attractor Reconstruction indices, which showed the greatest differences between groups, were found to be consistent across datasets. These indices were related to systolic augmentation, diastolic peak positioning and prominence, and waveform variability. Both fiducial point analysis and Symmetric Projection Attractor Reconstruction techniques provided indices that supported the classification of age and physical activity, but not sex. Conclusions Both fiducial point analysis and Symmetric Projection Attractor Reconstruction techniques demonstrated utility in identifying cardiovascular differences between individuals and within an individual over time. Future research should investigate the potential utility of these techniques for extracting information on fitness and disease, to support healthcare-decision making.
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页数:12
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