Evidence map›Paper›PMID 39583890›Full record

ArticleIEEE International Conference on Communications : [proceedings]. IEEE International Conference on Communications2024

Real-time Continuous Blood Pressure Estimation with Contact-free Bedseismogram.

Yingjian Song, Bingnan Li, Dan Luo, Glenna S Brewster Glasgow, Bradley G Phillips, Yuan Ke, Wenzhan Song

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in IEEE International Conference on Communications : [proceedings]. IEEE International Conference on Communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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

1 citing paper in PubMed.

  1. Poster:A Contactless Health Monitoring System for Humans and Animals.Proceedings of the ... International Conference on Embedded Networked Sensor Systems. International Conference on Embedded Networked Sensor Systems · 2024
    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.

Yingjian SongCollege of Engineering, University of Georgia, Athens, USA.
Bingnan LiDepartment of Statistics, University of Georgia, Athens, USA.
Dan LuoDepartment of Statistics, University of Georgia, Athens, USA.
Glenna S Brewster GlasgowNell Hodgson Woodruff School of Nursing, Emory University, Atlanta, USA.
Bradley G PhillipsBiomedical and Transnational Sciences Institute, University of Georgia, Athens, USA.
Yuan KeDepartment of Statistics, University of Georgia, Athens, USA.
Wenzhan SongCollege of Engineering, University of Georgia, Athens, USA.

Funding

SCH: Contactless and Engagement-free Sleep Apnea Monitoring and CharacterizationR01HL172291 · NHLBI · UNIVERSITY OF GEORGIA · PI Yuan Ke, BRADLEY GEORGE PHILLIPS · 2023 to 2026
$1.2M
NHLBI NIH HHS R01 HL172291
6 · The paper itself

Abstract

In this study, we introduce BedDot, the first contact-free and bed-mounted continuous blood pressure monitoring sensor. Equipped with a seismic sensor, BedDot eliminates the need for external wearable devices and physical contact, while avoiding privacy or radiation concerns associated with other technologies such as cameras or radars. Using advanced preprocessing techniques and innovative AI algorithms, we extract time-series features from the collected bedseismogram signals and accurately estimate blood pressure with remarkable stability and robustness. Our user-friendly prototype has been tested with over 75 participants, demonstrating exceptional performance that meets all three major industry standards, which are Association for the Advancement of Medical Instrumentation (AAMI), Food and Drug Administration (FDA) and the British and Irish Hypertension Society (BHS), and outperforms current state-of-the-art deep learning models for time series analysis. As a non-invasive solution for monitoring blood pressure during sleep and assessing cardiovascular health, BedDot holds immense potential for revolutionizing the field.

Indexed as

blood pressurecircadian rhythmcontact-free sleep monitoringdeep neural networkseismic sensingsleep

Identifiers

PMID39583890
PMCPMC11583795

What OpenQuestion holds

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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.