Evidence map›Paper›PMID 31337783›Full record

ArticleScientific reports2019

The Potential of Wearable Limb Ballistocardiogram in Blood Pressure Monitoring via Pulse Transit Time.

Peyman Yousefian, Sungtae Shin, Azin Mousavi, Chang-Sei Kim, Ramakrishna Mukkamala, Dae-Geun Jang, Byung-Hoon Ko, Jongwook Lee, Ui Kun Kwon, Youn Ho Kim and 1 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
2.5field-weighted citation impact, top 11% 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, 49 citations in OpenAlex.

  1. Review
  2. Wearable Flexible Sensors for Cardiovascular Disease Monitoring.Advanced materials (Deerfield Beach, Fla.) · 2026
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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

11 authors at 4 institutions in 2 countries.

Peyman YousefianDepartment of Mechanical Engineering, University of Maryland, College Park, MD, USA.
Sungtae ShinDepartment of Mechanical Engineering, University of Maryland, College Park, MD, USA.
Azin MousaviDepartment of Mechanical Engineering, University of Maryland, College Park, MD, USA.ORCID http://orcid.org/0000-0002-2886-5642
Chang-Sei KimSchool of Mechanical Engineering, Chonnam National University, Gwangju, Korea.
Ramakrishna MukkamalaDepartment of Electrical and Computer Engineering, Michigan State University, East Lansing, MI, USA.ORCID http://orcid.org/0000-0001-8918-4050
Dae-Geun JangDevice & System Research Center, Samsung Advanced Institute of Technology, Suwon, Gyeonggi, Korea.
Byung-Hoon KoDevice & System Research Center, Samsung Advanced Institute of Technology, Suwon, Gyeonggi, Korea.
Jongwook LeeDevice & System Research Center, Samsung Advanced Institute of Technology, Suwon, Gyeonggi, Korea.
Ui Kun KwonDevice & System Research Center, Samsung Advanced Institute of Technology, Suwon, Gyeonggi, Korea.
Youn Ho KimDevice & System Research Center, Samsung Advanced Institute of Technology, Suwon, Gyeonggi, Korea.
Jin-Oh HahnDepartment of Mechanical Engineering, University of Maryland, College Park, MD, USA. jhahn12@umd.edu.ORCID http://orcid.org/0000-0001-5429-2836
Samsung (South Korea) · KRUniversity of Maryland, College Park · USChonnam National University · KRMichigan State University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The goal of this study was to investigate the potential of wearable limb ballistocardiography (BCG) to enable cuff-less blood pressure (BP) monitoring, by investigating the association between wearable limb BCG-based pulse transit time (PTT) and BP. A wearable BCG-based PTT was calculated using the BCG and photoplethysmogram (PPG) signals acquired by a wristband as proximal and distal timing reference (called the wrist PTT). Its efficacy as surrogate of BP was examined in comparison with PTT calculated using the whole-body BCG acquired by a customized weighing scale (scale PTT) as well as pulse arrival time (PAT) using the experimental data collected from 22 young healthy participants under multiple BP-perturbing interventions. The wrist PTT exhibited close association with both diastolic (group average r = 0.79; mean absolute error (MAE) = 5.1 mmHg) and systolic (group average r = 0.81; MAE = 7.6 mmHg) BP. The efficacy of the wrist PTT was superior to scale PTT and PAT for both diastolic and systolic BP. The association was consistent and robust against diverse BP-perturbing interventions. The wrist PTT showed superior association with BP when calculated with green PPG rather than infrared PPG. In sum, wearable limb BCG has the potential to realize convenient cuff-less BP monitoring via PTT.

Indexed as

BallistocardiographyBlood Pressure DeterminationPulse Wave AnalysisAdultBlood PressureFemaleHeart RateHumansMaleWearable Electronic DevicesYoung Adult

Identifiers

PMID31337783
PMCPMC6650495
OpenAlexW2963362070

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.