Evidence map›Paper›PMID 37694382›Full record

ArticleJMIR mHealth and uHealth2023

Blood Pressure Measurement Based on the Camera and Inertial Measurement Unit of a Smartphone: Instrument Validation Study.

Yong-Hoon Yoon, Jongin Kim, Kwang Jin Lee, Dongrae Cho, Jin Kyung Oh, Minsu Kim, Jae-Hyung Roh, Hyun Woong Park, Jae-Hwan Lee

Abstract read
In one paragraph

Article in JMIR mHealth and uHealth, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

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0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Yong-Hoon YoonChungnam National University Sejong Hospital, Sejong-Si, Republic of Korea.ORCID 0000-0002-5598-003X
Jongin KimDeepmedi Research Institute of Technology, Seoul, Republic of Korea.ORCID 0000-0003-4588-4164
Kwang Jin LeeDeepmedi Research Institute of Technology, Seoul, Republic of Korea.ORCID 0000-0002-3761-8627
Dongrae ChoDeepmedi Research Institute of Technology, Seoul, Republic of Korea.ORCID 0000-0002-3741-3410
Jin Kyung OhChungnam National University Sejong Hospital, Sejong-Si, Republic of Korea.ORCID 0000-0001-8371-9704
Minsu KimChungnam National University Sejong Hospital, Sejong-Si, Republic of Korea.ORCID 0000-0001-9230-3137
Jae-Hyung RohChungnam National University Sejong Hospital, Sejong-Si, Republic of Korea.ORCID 0000-0003-3675-3541
Hyun Woong ParkChungnam National University Sejong Hospital, Sejong-Si, Republic of Korea.ORCID 0000-0002-2025-7781
Jae-Hwan LeeChungnam National University Sejong Hospital, Sejong-Si, Republic of Korea.ORCID 0000-0002-6561-7760

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Even though several mobile apps that can measure blood pressure have been developed, the data about the accuracy of these apps are limited. Objective: We assessed the accuracy of AlwaysBP (test) in blood pressure measurement compared with the standard, cuff-based, manual method of brachial blood pressure measurement (reference). Methods: AlwaysBP is a smartphone software that estimates systolic blood pressure (SBP) and diastolic blood pressure (DBP) based on pulse transit time (PTT). PTT was calculated with a finger photoplethysmogram and seismocardiogram using, respectively, the camera and inertial measurement unit sensor of a commercially available smartphone. After calculating PTT, SBP and DBP were estimated via the Bramwell-Hill and Moens-Korteweg equations. A calibration process was carried out 3 times for each participant to determine the input parameters of the equations. This study was conducted from March to August 2021 at Chungnam National University Sejong Hospital with 87 participants aged between 19 and 70 years who met specific conditions. The primary analysis aimed to evaluate the accuracy of the test method compared with the reference method for the entire study population. The secondary analysis was performed to confirm the stability of the test method for up to 4 weeks in 15 participants. At enrollment, gender, arm circumference, and blood pressure distribution were considered according to current guidelines. Results: Among the 87 study participants, 45 (52%) individuals were male, and the average age was 35.6 (SD 10.4) years. Hypertension was diagnosed in 14 (16%) participants before this study. The mean test and reference SBPs were 120.0 (SD 18.8) and 118.7 (SD 20.2) mm Hg, respectively (difference: mean 1.2, SD 7.1 mm Hg). The absolute differences between the test and reference SBPs were <5, <10, and <15 mm Hg in 57.5% (150/261), 84.3% (220/261 ), and 94.6% (247/261) of measurements. The mean test and reference DBPs were 80.1 (SD 12.6) and 81.1 (SD 14.4) mm Hg, respectively (difference: mean -1.0, SD 6.0 mm Hg). The absolute differences between the test and reference DBPs were <5, <10, and <15 mm Hg in 75.5% (197/261), 93.9% (245/261), and 97.3% (254/261) of measurements, respectively. The secondary analysis showed that after 4 weeks, the differences between SBP and DBP were 0.1 (SD 8.8) and -2.4 (SD 7.6) mm Hg, respectively. Conclusions: AlwaysBP exhibited acceptable accuracy in SBP and DBP measurement compared with the standard measurement method, according to the Association for the Advancement of Medical Instrumentation/European Society of Hypertension/International Organization for Standardization protocol criteria. However, further validation studies with a specific validation protocol designed for cuffless blood pressure measuring devices are required to assess clinical accuracy. This technology can be easily applied in everyday life and may improve the general population's awareness of hypertension, thus helping to control it.

Indexed as

HypertensionMobile ApplicationsAdultAgedBlood PressureBlood Pressure DeterminationFemaleHumansMaleMiddle AgedSmartphoneYoung Adultaccuracyaccurateblood pressurecameracardiovascularcufflesshypertensioninertial measurement unitmeasuremHealthmobile healthsmartphonesmartphone softwaresoftware

Identifiers

PMID37694382
PMCPMC10503482

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LicenceCC BY
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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 OpenQuestion graph.