Evidence map›Paper›PMID 35161876›Full record

ArticleSensors (Basel, Switzerland)2022

A Wearable Multimodal Sensing System for Tracking Changes in Pulmonary Fluid Status, Lung Sounds, and Respiratory Markers.

Jesus Antonio Sanchez-Perez, John A Berkebile, Brandi N Nevius, Goktug C Ozmen, Christopher J Nichols, Venu G Ganti, Samer A Mabrouk, Gari D Clifford, Rishikesan Kamaleswaran, David W Wright and 1 more

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Sensors (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
5.2field-weighted citation impact, top 3% 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

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

  1. Pooled it
  2. Observational
  3. Review
  4. Review
  5. Review
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Review
  13. Article
  14. 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

11 authors at 2 institutions in 1 country.

Jesus Antonio Sanchez-PerezSchool of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA 30313, USA.ORCID 0000-0002-6678-3613
John A BerkebileSchool of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA 30313, USA.
Brandi N NeviusWoodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, GA 30332, USA.
Goktug C OzmenSchool of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA 30313, USA.
Christopher J NicholsWallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology, Emory University, Atlanta, GA 30332, USA.
Venu G GantiBioengineering Graduate Program, Georgia Institute of Technology, Atlanta, GA 30332, USA.
Samer A MabroukSchool of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA 30313, USA.
Gari D CliffordWallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology, Emory University, Atlanta, GA 30332, USA.
Rishikesan KamaleswaranWallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology, Emory University, Atlanta, GA 30332, USA.
David W WrightDepartment of Emergency Medicine, Emory University, Atlanta, GA 30332, USA.
Omer T InanSchool of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA 30313, USA.ORCID 0000-0002-7952-1794
Georgia Institute of Technology · USEmory University · US

Funding

Wearable lung sounds, fluid, and body temperature monitoring for patients with COVID-19R01EB023808 · NIBIB · GEORGIA INSTITUTE OF TECHNOLOGY · PI INAN, OMER TOLGA · 2016 to 2020
$2.2M
NIH HHS R01EB023808
6 · The paper itself

Abstract

Heart failure (HF) exacerbations, characterized by pulmonary congestion and breathlessness, require frequent hospitalizations, often resulting in poor outcomes. Current methods for tracking lung fluid and respiratory distress are unable to produce continuous, holistic measures of cardiopulmonary health. We present a multimodal sensing system that captures bioimpedance spectroscopy (BIS), multi-channel lung sounds from four contact microphones, multi-frequency impedance pneumography (IP), temperature, and kinematics to track changes in cardiopulmonary status. We first validated the system on healthy subjects (

Indexed as

Heart FailureWearable Electronic DevicesHumansLungRespiratory RateRespiratory Soundsbioimpedance spectroscopycardiorespiratory monitoringfluid statusheart failureimpedance pneumographylung soundssensor fusionwearable sensing

Identifiers

PMID35161876
PMCPMC8838360
OpenAlexW4210541465

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.