Evidence map›Paper›PMID 30556049›Full record

ArticleProceedings of the ACM on interactive, mobile, wearable and ubiquitous technologies2017

SeismoWatch: Wearable Cuffless Blood Pressure Monitoring Using Pulse Transit Time.

Andrew M Carek, Jordan Conant, Anirudh Joshi, Hyolim Kang, Omer T Inan

Abstract read
In one paragraph

Article in Proceedings of the ACM on interactive, mobile, wearable and ubiquitous technologies, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed, 1 pooled it
4.4field-weighted citation impact, top 5% 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

36 citing papers in PubMed, 1 synthesis or guideline pooled it, 97 citations in OpenAlex.

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  10. A Review on Recent Advancements of Biomedical Radar for Clinical Applications.IEEE open journal of engineering in medicine and biology · 2024
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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

5 authors at 1 institution in 1 country.

Andrew M CarekGeorgia Institute of Technology.
Jordan ConantGeorgia Institute of Technology.
Anirudh JoshiGeorgia Institute of Technology.
Hyolim KangGeorgia Institute of Technology.
Omer T InanGeorgia Institute of Technology.
Georgia Institute of Technology · US

Funding

Unobtrusive and Affordable Blood Pressure Monitoring Via Pulse Transit TimeU01EB018818 · NIBIB · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI MUKKAMALA, RAMAKRISHNA · 2014 to 2018
$3.4M
NIBIB NIH HHS U01 EB018818
6 · The paper itself

Abstract

The current norm for measuring blood pressure (BP) at home is using an automated BP cuff based on oscillometry. Despite providing a viable and familiar method of tracking BP at home, oscillometric devices can be both cumbersome and inaccurate with the inconvenience of the hardware typically limiting measurements to once or twice per day. To address these limitations, a wrist-watch BP monitor was developed to measure BP through a simple maneuver: holding the watch against the sternum to detect micro-vibrations of the chest wall associated with the heartbeat. As a pulse wave propagates from the heart to the wrist, an accelerometer and optical sensor on the watch measure the travel time - pulse transit time (PTT) - to estimate BP. In this paper, we conducted a study to test the accuracy and repeatability of our device. After calibration, the diastolic pressure estimations reached a root-mean-square error of 2.9 mmHg. The watch-based system significantly outperformed (p<0.05) conventional pulse arrival time (PAT) based wearable blood pressure estimations - the most commonly used method for wearable BP sensing in the existing literature and commercial devices. Our device can be a convenient means for wearable BP monitoring outside of clinical settings in both health-conscious and hypertensive populations.

Indexed as

Applied computing~Consumer healthBlood pressure monitoringHuman-centered computing~Mobile devicesPulse transit timeWearable sensing

Identifiers

PMID30556049
PMCPMC6292433
OpenAlexW2754008471

What OpenQuestion holds

Textmetadata
LicenceTDM
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.