Evidence map›Paper›PMID 35624640›Full record

ArticleBiosensors2022

Portable Respiration Monitoring System with an Embroidered Capacitive Facemask Sensor.

Mitar Simić, Adrian K Stavrakis, Ankita Sinha, Velibor Premčevski, Branko Markoski, Goran M Stojanović

Abstract read
In one paragraph

Article in Biosensors, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Review
  5. Wearable Sensors for Respiration Monitoring: A Review.Sensors (Basel, Switzerland) · 2023
    Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. 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

6 authors.

Mitar SimićFaculty of Technical Sciences, University of Novi Sad, 21000 Novi Sad, Serbia.ORCID 0000-0002-8300-022X
Adrian K StavrakisFaculty of Technical Sciences, University of Novi Sad, 21000 Novi Sad, Serbia.ORCID 0000-0002-9527-7103
Ankita SinhaFaculty of Technical Sciences, University of Novi Sad, 21000 Novi Sad, Serbia.
Velibor PremčevskiTechnical Faculty Mihajlo Pupin, University of Novi Sad, 21000 Zrenjanin, Serbia.
Branko MarkoskiTechnical Faculty Mihajlo Pupin, University of Novi Sad, 21000 Zrenjanin, Serbia.
Goran M StojanovićFaculty of Technical Sciences, University of Novi Sad, 21000 Novi Sad, Serbia.ORCID 0000-0003-2098-189X

Funding

European Union's Horizon 2020 research and innovation programme 854194Provincial Secretariat for Higher Education, Scientific and Research Activity 142-451-1820/2022-01/1
6 · The paper itself

Abstract

Respiration monitoring is a very important indicator of health status. It can be used as a marker in the recognition of a variety of diseases, such as sleep apnea, asthma or cardiac arrest. The purpose of the present study is to overcome limitations of the current state of the art in the field of respiration monitoring systems. Our goal was the development of a lightweight handheld device with portable operation and low power consumption. The proposed approach includes a textile capacitive sensor with interdigitated electrodes embroidered into the facemask, integrated with readout electronics. Readout electronics is based on the direct interface of the capacitive sensor and a microcontroller through just one analog and one digital pin. The microcontroller board and sensor are powered by a smartphone or PC through a USB cable. The developed mobile application for the Android™ operating system offers reliable data acquisition and acts as a bridge for data transfer to the remote server. The embroidered sensor was initially tested in a humidity-controlled chamber connected to a commercial impedance analyzer. Finally, in situ testing with 10 volunteering subjects confirmed stable operation with reliable respiration monitoring.

Indexed as

MasksRespirationHumansMonitoring, PhysiologicSmartphoneTextilescapacitive sensore-textilefacemaskmachine embroideryrespiration monitoringsensor-microcontroller interface

Identifiers

PMID35624640
PMCPMC9138658

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.