Evidence map›Paper›PMID 40588658›Full record

ArticleEuropean journal of applied physiology2025

Feasibility of a beat-by-beat finger photoplethysmograph device for estimating central (aortic) blood pressure waveform characteristics.

Bryce N Balmain, Martin G Schultz, Norman R Morris, Kenji Shiino, Surendran Sabapathy

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Article in European journal of applied physiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

5 authors.

Bryce N BalmainInstitute for Exercise and Environmental Medicine, Texas Health Presbyterian Hospital, 7232 Greenville Ave, Dallas, TX, 75231, USA. brycebalmain@texashealth.org.ORCID http://orcid.org/0000-0002-2642-7083
Martin G SchultzCollege of Health and Medicine, Menzies Institute for Medical Research, University of Tasmania, Hobart, Australia.
Norman R MorrisSchool of Health Sciences and Social Work, Griffith University, Gold Coast, Australia.
Kenji ShiinoSchool of Health Sciences and Social Work, Griffith University, Gold Coast, Australia.
Surendran SabapathySchool of Health Sciences and Social Work, Griffith University, Gold Coast, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Central blood pressure can be estimated non-invasively using radial applanation tonometry. However, the stability and accuracy of applanation tonometry signals is operator-dependent. We examined the concordance between finger and radial artery pressure waveforms captured using an automated, beat-by-beat, photoplethysmograph device (Finometer PRO) and radial applanation tonometry respectively, to estimate central pressure waveform characteristics including systolic (SP), diastolic (DP), augmented (AP), reservoir (RP), and excess (XSP) pressure at rest and during a period of elevated and sustained arterial blood pressure. The central pressure waveform characteristics were estimated from finger artery pressure waveforms captured by the Finometer, and were compared to those derived from radial artery pressure waveforms captured using applanation tonometry at baseline (Rest) and during a brief period of circulatory occlusion (OCC) immediately following an isometric handgrip exercise challenge (performed at 40% maximal voluntary contraction) in 24 healthy men (25 ± 5 years). Central pressure waveform parameters derived from the Finometer device were not different to those estimated from radial applanation tonometry: SP (Rest: 3 ± 2; OCC: 4 ± 2 mmHg), DP (Rest: 1 ± 1; OCC 1 ± 2 mmHg), AP (Rest:2 ± 3; OCC: 3 ± 3 mmHg), RP (Rest: 3 ± 4; OCC: 3 ± 5 mmHg), and XSP (Rest: 2 ± 2; OCC: 2 ± 3 mmHg) (all p > 0.05). Furthermore, intra-class correlation coefficients between methods were uniformly high for the estimated change from Rest-to-OCC in all parameters: SP (r = 0.97), DP (r = 0.96), AP (r = 0.94), RP (r = 0.95), and XSP (Rest: r = 0.98) (all p < 0.01). These findings demonstrate that the Finometer device may serve as an alternative automated device to radial applanation tonometry for capturing peripheral pressure waveforms that allow similar estimation of central pressure waveform characteristics.

Indexed as

AortaArterial PressureBlood PressureBlood Pressure DeterminationFingersPhotoplethysmographyAdultFeasibility StudiesHand StrengthHumansMaleManometryRadial ArteryAortaExcess pressureFinometerReservoir pressureTonometry

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.