Evidence map›Paper›PMID 37872987›Full record

ArticleBiomedical engineering letters2023

Quantitative analysis of pulse arrival time and PPG morphological features based cuffless blood pressure estimation: a comparative study between diabetic and non-diabetic groups.

Seongryul Park, Seungjae Lee, Eunkyoung Park, Jongshill Lee, In Young Kim

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Article in Biomedical engineering letters, 2023. 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.

Seongryul Park *Department of Electronic Engineering, Hanyang University, Seoul, 04763 South Korea.
Seungjae Lee *Exosystems, Seongnam, 13449 South Korea.
Eunkyoung ParkDepartment of Biomedical Engineering, Soonchunhyang University, Asan, 31538 South Korea.
Jongshill LeeDepartment of Biomedical Engineering, Hanyang University, Seoul, 04763 South Korea.
In Young KimDepartment of Biomedical Engineering, Hanyang University, Seoul, 04763 South Korea.ORCID 0000-0001-9580-7074

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pulse arrival time (PAT) and PPG morphological features have attracted much interest in cuffless blood pressure (BP) estimation, but their effects are not clearly understood when vascular characteristics are affected by diseases such as diabetes. This work quantitatively analyzes the effect of diabetic disease on the PAT and PPG morphological features-based BP estimation. We selected 112 diabetic patients and 308 non-diabetic subjects from VitalDB, and extracted 16 features including PAT, PPG morphological features, and heart rate. BP estimation performance was statistically compared between groups using linear regression models with several feature sets, and the relative importance of each feature in the optimal feature set was extracted. As a result, the standard deviation of the error and mean absolute error of PAT-based BP estimation were significantly higher in the diabetic group than in the non-diabetic group (

Indexed as

Cuffless blood pressure estimationDiabetesPPG morphological featuresPulse arrival timeRelative feature importance

Identifiers

PMID37872987
PMCPMC10590356

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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 OpenQuestion graph.