Evidence map›Paper›PMID 32972028›Full record

SynthesisSensors (Basel, Switzerland)2020

Sensing Systems for Respiration Monitoring: A Technical Systematic Review.

Erik Vanegas, Raul Igual, Inmaculada Plaza

Abstract readSystematic Review
In one paragraph

Synthesis in Sensors (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.

0numbers the graph read from it
0cells of the map it votes in
38citing 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

38 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Review
  5. Review
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Flow-Field Inference for Turbulent Exhale Flow Measurement.Diagnostics (Basel, Switzerland) · 2024
    Article
  14. Article
  15. Review
  16. Article
  17. Article
  18. Wearable Sensors for Respiration Monitoring: A Review.Sensors (Basel, Switzerland) · 2023
    Review
  19. Article
  20. 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

3 authors.

Erik VanegasEduQTech, Electrical/Electronics Engineering and Communications Department, EUP Teruel, Universidad de Zaragoza, 44003 Teruel, Spain.ORCID 0000-0002-2876-1499
Raul IgualEduQTech, Electrical/Electronics Engineering and Communications Department, EUP Teruel, Universidad de Zaragoza, 44003 Teruel, Spain.ORCID 0000-0002-1561-0536
Inmaculada PlazaEduQTech, Electrical/Electronics Engineering and Communications Department, EUP Teruel, Universidad de Zaragoza, 44003 Teruel, Spain.ORCID 0000-0001-7550-6688

Funding

Centro Universitario de la Defensa de Zaragoza UZCUD2019-TEC-02Consejo Nacional de Ciencia y Tecnología 709365European Social Fund Programa Operativo FEDER Construyendo Europa desde AragonGobierno de Aragón T49_20RUniversidad de Zaragoza UZCUD2019-TEC-02
6 · The paper itself

Abstract

Respiratory monitoring is essential in sleep studies, sport training, patient monitoring, or health at work, among other applications. This paper presents a comprehensive systematic review of respiration sensing systems. After several systematic searches in scientific repositories, the 198 most relevant papers in this field were analyzed in detail. Different items were examined: sensing technique and sensor, respiration parameter, sensor location and size, general system setup, communication protocol, processing station, energy autonomy and power consumption, sensor validation, processing algorithm, performance evaluation, and analysis software. As a result, several trends and the remaining research challenges of respiration sensors were identified. Long-term evaluations and usability tests should be performed. Researchers designed custom experiments to validate the sensing systems, making it difficult to compare results. Therefore, another challenge is to have a common validation framework to fairly compare sensor performance. The implementation of energy-saving strategies, the incorporation of energy harvesting techniques, the calculation of volume parameters of breathing, or the effective integration of respiration sensors into clothing are other remaining research efforts. Addressing these and other challenges outlined in the paper is a required step to obtain a feasible, robust, affordable, and unobtrusive respiration sensing system.

Indexed as

AlgorithmsMonitoring, PhysiologicRespirationHumansSoftwarebreathing sensorcomprehensive reviewrespiration sensorrespiratory monitoringsensor comparisonsystematic reviewtechnical review

Identifiers

PMID32972028
PMCPMC7570710

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.