Evidence mapPaperPMID 41535534Full record

ArticleAnnals of biomedical engineering2026

Smartphone-based Assessment of Vasomotor Function via Fingertip Arteriolar Elasticity Using the Volume-Oscillometric Method with Green Light Photoplethysmography.

Takehiro Yamakoshi, Peter Rolfe, Ken-Ichi Yamakoshi

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Article in Annals of biomedical engineering, 2026. 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

3 authors.

Takehiro YamakoshiInstitute of Liberal Arts and Science, Kanazawa University, Kakuma-machi, Kanazawa, Ishikawa, 9201192, Japan. takehiroy@me.com.ORCID http://orcid.org/0000-0002-0171-3681
Peter RolfeDepartment of Automatic Measurement and Control, Harbin Institute of Technology, No.92 West Dazhi Street, Nan Gang District, Harbin, 150001, Heilongjiang Province, China.
Ken-Ichi YamakoshiDepartment of Research and Development, Nonprofit Organization of Research Institute of Life Benefit, Sapporo, Hokkaido, 0050006, Japan.

Funding

Japan Atherosclerosis Society Japan Atherosclerosis Research Foundation (2019-2024)
6 · The paper itself

Abstract

purposeVasomotor function plays a critical role in blood pressure (BP) regulation and organ perfusion, and its dysfunction is a major risk factor for cardiovascular disease. Despite the clinical importance of early detection, no noninvasive, quantitative, and widely accessible method for evaluating vasomotor function currently exists. To address this gap, we propose a novel smartphone-based technique for assessing vasomotor activity by measuring fingertip arteriolar elasticity.

methodsA smartphone (iPhone) equipped with green light photoplethysmography (gPPG) was coupled to a detachable fingertip pressurization unit to enable volume-oscillometric measurement of arteriolar BP and elasticity indices (stiffness and distensibility) as functions of distending pressure. Vasoconstriction was induced by cold stimulation to validate the method.

resultsThirteen healthy volunteers underwent measurements before and during cold water immersion of the contralateral hand. The method successfully quantified arteriolar BP and elasticity indices, revealing significant increases in stiffness and decreases in distensibility (p < 0.01), consistent with expected vasoconstrictive responses.

conclusionThis smartphone-based approach demonstrates feasibility as a practical, noninvasive, and accessible tool for assessing vasomotor activity. With further validation in larger cohorts, it may enable early detection of vasomotor dysfunction and support cardiovascular disease prevention through convenient self-assessment.

Indexed as

FingersPhotoplethysmographySmartphoneVasomotor SystemAdultArteriolesBlood PressureElasticityFemaleGreen LightHumansMaleVasoconstrictionArteriolar elasticityGreen light photoplethysmography (gPPG)Smartphone-based vasomotor assessmentVasomotor functionVolume-Oscillometric method

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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.