Literature DB >> 11116106

Noninvasive assessment of the digital volume pulse. Comparison with the peripheral pressure pulse.

S C Millasseau1, F G Guigui, R P Kelly, K Prasad, J R Cockcroft, J M Ritter, P J Chowienczyk.   

Abstract

The digital volume pulse can be recorded simply and noninvasively by photoplethysmography. The objective of the present study was to determine whether a generalized transfer function can be used to relate the digital volume pulse to the peripheral pressure pulse and, hence, to determine whether both volume and pressure pulse waveforms are influenced by the same mechanism. The digital volume pulse was recorded by photoplethysmography in 60 subjects (10 women, aged 24 to 80 years), including 20 subjects with previously diagnosed hypertension. Simultaneous recordings of the peripheral radial pulse and digital artery pulse were obtained by applanation tonometry and a servocontrolled pressure cuff (Finapres), respectively. In 20 normotensive subjects, measurements were obtained after the administration of nitroglycerin (NTG, 500 microgram sublingually). Transfer functions obtained by Fourier analysis of the waveforms were similar in normotensive and hypertensive subjects. In normotensive subjects, transfer functions were similar before and after NTG. By use of a single generalized transfer function for all subjects, the radial and digital artery pressure waveforms could be predicted from the volume pulse with an average root mean square error of 4.4+/-2.0 and 4.3+/-1.9 mm Hg (mean+/-SD) for radial and digital artery waveforms, respectively, similar to the error between the 2 pressure waveforms (4.4+/-1.4 mm Hg). The peripheral pressure pulse is related to the digital volume pulse by a transfer function, which is not influenced by effects of hypertension or NTG. Effects of NTG on the volume pulse and pressure pulse are likely to be determined by a similar mechanism.

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Year:  2000        PMID: 11116106     DOI: 10.1161/01.hyp.36.6.952

Source DB:  PubMed          Journal:  Hypertension        ISSN: 0194-911X            Impact factor:   10.190


  47 in total

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Journal:  J Med Syst       Date:  2010-04-06       Impact factor: 4.460

2.  Investigation of peripheral photoplethysmographic morphology changes induced during a hand-elevation study.

Authors:  Michelle Hickey; Justin P Phillips; Panayiotis A Kyriacou
Journal:  J Clin Monit Comput       Date:  2015-08-29       Impact factor: 2.502

3.  Asymmetric time-dependent model for the dynamic finger arterial pressure-volume relationship.

Authors:  Jaak Talts; Rein Raamat; Kersti Jagomägi
Journal:  Med Biol Eng Comput       Date:  2006-08-03       Impact factor: 2.602

4.  Factors that affect pulse wave time transmission in the monitoring of cardiovascular system.

Authors:  Jong Yong A Foo; Stephen J Wilson; Ping Wang
Journal:  J Clin Monit Comput       Date:  2008-03-19       Impact factor: 2.502

5.  Monitoring of reactive hyperemia using photoplethysmographic pulse amplitude and transit time.

Authors:  Nandakumar Selvaraj; Ashok K Jaryal; Jayashree Santhosh; Sneh Anand; Kishore K Deepak
Journal:  J Clin Monit Comput       Date:  2009-10       Impact factor: 2.502

6.  The time is ripe to reevaluate the second derivative of the digital photoplethysmogram (SDPTG), originating in Japan, as an important tool for cardiovascular risk and central hemodynamic assessment.

Authors:  Hiroshi Miyashita
Journal:  Hypertens Res       Date:  2016-12-22       Impact factor: 3.872

7.  Optical blood pressure estimation with photoplethysmography and FFT-based neural networks.

Authors:  Xiaoman Xing; Mingshan Sun
Journal:  Biomed Opt Express       Date:  2016-07-12       Impact factor: 3.732

8.  Second derivative of the finger photoplethysmogram and cardiovascular mortality in middle-aged and elderly Japanese women.

Authors:  Noriko Inoue; Hideshi Kawakami; Hideya Yamamoto; Chikako Ito; Saeko Fujiwara; Hideo Sasaki; Yasuki Kihara
Journal:  Hypertens Res       Date:  2016-09-29       Impact factor: 3.872

9.  Peripheral augmentation index as a biomarker of vascular aging: an invasive hemodynamics approach.

Authors:  Kevin S Heffernan; Eshan A Patvardhan; Navin K Kapur; Richard H Karas; Jeffrey T Kuvin
Journal:  Eur J Appl Physiol       Date:  2011-12-03       Impact factor: 3.078

10.  Derivation and validation of diagnostic thresholds for central blood pressure measurements based on long-term cardiovascular risks.

Authors:  Hao-Min Cheng; Shao-Yuan Chuang; Shih-Hsien Sung; Wen-Chung Yu; Alan Pearson; Edward G Lakatta; Wen-Harn Pan; Chen-Huan Chen
Journal:  J Am Coll Cardiol       Date:  2013-07-10       Impact factor: 24.094

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