Evidence map›Paper›PMID 34338646›Full record

ArticleJMIR mHealth and uHealth2021

Enabling Wearable Pulse Transit Time-Based Blood Pressure Estimation for Medically Underserved Areas and Health Equity: Comprehensive Evaluation Study.

Venu Ganti, Andrew M Carek, Hewon Jung, Adith V Srivatsa, Deborah Cherry, Levather Neicey Johnson, Omer T Inan

Open access · goldAbstract read
In one paragraph

Article in JMIR mHealth and uHealth, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
1.2field-weighted citation impact, top 24% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 19 citations in OpenAlex.

  1. Pooled it
  2. Printable Piezoresistive Hybrid Hydrogels Based on 2D MoSAdvanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  3. Review
  4. Article
  5. Review
  6. Article
  7. Article
  8. Synthetic seismocardiogram generation using a transformer-based neural network.Journal of the American Medical Informatics Association : JAMIA · 2023
    Article
  9. Security Risks and User Perception towards Adopting Wearable Internet of Medical Things.International journal of environmental research and public health · 2023
    Article
  10. Review
  11. Article
  12. Article
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

7 authors at 1 institution in 1 country.

Venu GantiSchool of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, United States.ORCID 0000-0002-6856-0421
Andrew M CarekSchool of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, United States.ORCID 0000-0001-8366-5187
Hewon JungSchool of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, United States.ORCID 0000-0002-4968-5659
Adith V SrivatsaThe Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology, Atlanta, GA, United States.ORCID 0000-0003-0597-9687
Deborah CherryVSNS, Inc, Atlanta, GA, United States.ORCID 0000-0003-3511-1993
Levather Neicey JohnsonVSNS, Inc, Atlanta, GA, United States.ORCID 0000-0002-2706-3699
Omer T InanSchool of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, United States.ORCID 0000-0002-7952-1794
Georgia Institute of Technology · US

Funding

Technology Training and Dissemination CoreU54EB027690 · NIBIB · EMORY UNIVERSITY · PI GREGORY S MARTIN · 2018 to 2026
$96.1M
Implementing a Maternal health and PRegnancy Outcomes Vision for Everyone (IMPROVE)UL1TR002378 · NCATS · EMORY UNIVERSITY · PI Andres J Garcia, Elizabeth O. Ofili · 2017 to 2026
$92.1M
Unobtrusive and Affordable Blood Pressure Monitoring Via Pulse Transit TimeU01EB018818 · NIBIB · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI MUKKAMALA, RAMAKRISHNA · 2014 to 2018
$3.4M
NCATS NIH HHS UL1 TR002378NIBIB NIH HHS U01 EB018818NIBIB NIH HHS U54 EB027690
6 · The paper itself

Abstract

backgroundNoninvasive and cuffless approaches to monitor blood pressure (BP), in light of their convenience and accuracy, have paved the way toward remote screening and management of hypertension. However, existing noninvasive methodologies, which operate on mechanical, electrical, and optical sensing modalities, have not been thoroughly evaluated in demographically and racially diverse populations. Thus, the potential accuracy of these technologies in populations where they could have the greatest impact has not been sufficiently addressed. This presents challenges in clinical translation due to concerns about perpetuating existing health disparities.

objectiveIn this paper, we aim to present findings on the feasibility of a cuffless, wrist-worn, pulse transit time (PTT)-based device for monitoring BP in a diverse population.

methodsWe recruited a diverse population through a collaborative effort with a nonprofit organization working with medically underserved areas in Georgia. We used our custom, multimodal, wrist-worn device to measure the PTT through seismocardiography, as the proximal timing reference, and photoplethysmography, as the distal timing reference. In addition, we created a novel data-driven beat-selection algorithm to reduce noise and improve the robustness of the method. We compared the wearable PTT measurements with those from a finger-cuff continuous BP device over the course of several perturbations used to modulate BP.

resultsOur PTT-based wrist-worn device accurately monitored diastolic blood pressure (DBP) and mean arterial pressure (MAP) in a diverse population (N=44 participants) with a mean absolute difference of 2.90 mm Hg and 3.39 mm Hg for DBP and MAP, respectively, after calibration. Meanwhile, the mean absolute difference of our systolic BP estimation was 5.36 mm Hg, a grade B classification based on the Institute for Electronics and Electrical Engineers standard. We have further demonstrated the ability of our device to capture the commonly observed demographic differences in underlying arterial stiffness.

conclusionsAccurate DBP and MAP estimation, along with grade B systolic BP estimation, using a convenient wearable device can empower users and facilitate remote BP monitoring in medically underserved areas, thus providing widespread hypertension screening and management for health equity.

Indexed as

Health EquityWearable Electronic DevicesBlood PressureHumansMedically Underserved AreaPulse Wave Analysiscuffless blood pressurehealth equitymobile phonenoninvasive blood pressure estimationpulse transit timewearable sensing

Identifiers

PMID34338646
PMCPMC8369375
OpenAlexW3163066678

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.