Evidence map›Paper›PMID 38392009›Full record

ReviewBiosensors2024

Advances in Respiratory Monitoring: A Comprehensive Review of Wearable and Remote Technologies.

Diana Vitazkova, Erik Foltan, Helena Kosnacova, Michal Micjan, Martin Donoval, Anton Kuzma, Martin Kopani, Erik Vavrinsky

Registry-linked trialAbstract readReview
In one paragraph

Review in Biosensors, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06681467 (An Investigation Into the Measurement of Lung Volume by Analysis of Breathing Parameters Using Non-invasive Wearable Devices), which is not on this map. Cited by 50 papers.

0numbers the graph read from it
0cells of the map it votes in
50citing 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.

NCT06681467 nacompletednot on this map

An Investigation Into the Measurement of Lung Volume by Analysis of Breathing Parameters Using Non-invasive Wearable Devices

TypeinterventionalSponsorUniversity Hospital Southampton NHS Foundation TrustRan2024 to 2025Enrolled50ConditionsRespiration DisordersArmsRespiratory monitoring band
3 · Its place in the literature

Who cites it

50 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Wearable Flexible Sensors for Cardiovascular Disease Monitoring.Advanced materials (Deerfield Beach, Fla.) · 2026
    Review
  5. Article
  6. Review
  7. Observational
  8. Review
  9. Review
  10. [A Method for Respiratory Monitoring in Thermal Infrared Video Using Masked Autoencoder Pretraining].Sichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition · 2026
    Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Review
  16. Article
  17. Review
  18. Review
  19. Article
  20. Review
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

8 authors.

Diana VitazkovaInstitute of Electronics and Photonics, Faculty of Electrical Engineering and Information Technology, Slovak University of Technology, Ilkovicova 3, 81219 Bratislava, Slovakia.
Erik FoltanInstitute of Electronics and Photonics, Faculty of Electrical Engineering and Information Technology, Slovak University of Technology, Ilkovicova 3, 81219 Bratislava, Slovakia.
Helena KosnacovaInstitute of Electronics and Photonics, Faculty of Electrical Engineering and Information Technology, Slovak University of Technology, Ilkovicova 3, 81219 Bratislava, Slovakia.ORCID 0000-0001-8384-3510
Michal MicjanInstitute of Electronics and Photonics, Faculty of Electrical Engineering and Information Technology, Slovak University of Technology, Ilkovicova 3, 81219 Bratislava, Slovakia.
Martin DonovalInstitute of Electronics and Photonics, Faculty of Electrical Engineering and Information Technology, Slovak University of Technology, Ilkovicova 3, 81219 Bratislava, Slovakia.
Anton KuzmaInstitute of Electronics and Photonics, Faculty of Electrical Engineering and Information Technology, Slovak University of Technology, Ilkovicova 3, 81219 Bratislava, Slovakia.
Martin KopaniInstitute of Medical Physics, Biophysics, Informatics and Telemedicine, Faculty of Medicine, Comenius University, Sasinkova 2, 81272 Bratislava, Slovakia.
Erik VavrinskyInstitute of Electronics and Photonics, Faculty of Electrical Engineering and Information Technology, Slovak University of Technology, Ilkovicova 3, 81219 Bratislava, Slovakia.ORCID 0000-0002-0981-5949

Funding

Slovak Research and Development Agency APVV-20-0564Slovak Research and Development Agency APVV-21-0509
6 · The paper itself

Abstract

This article explores the importance of wearable and remote technologies in healthcare. The focus highlights its potential in continuous monitoring, examines the specificity of the issue, and offers a view of proactive healthcare. Our research describes a wide range of device types and scientific methodologies, starting from traditional chest belts to their modern alternatives and cutting-edge bioamplifiers that distinguish breathing from chest impedance variations. We also investigated innovative technologies such as the monitoring of thorax micromovements based on the principles of seismocardiography, ballistocardiography, remote camera recordings, deployment of integrated optical fibers, or extraction of respiration from cardiovascular variables. Our review is extended to include acoustic methods and breath and blood gas analysis, providing a comprehensive overview of different approaches to respiratory monitoring. The topic of monitoring respiration with wearable and remote electronics is currently the center of attention of researchers, which is also reflected by the growing number of publications. In our manuscript, we offer an overview of the most interesting ones.

Indexed as

Wearable Electronic DevicesElectronicsMonitoring, PhysiologicRespirationTechnologyacoustic methodsairflowimpedancerespiration monitoringthorax movementwearable devices

Identifiers

PMID38392009
PMCPMC10886711

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.