Evidence map›Paper›PMID 38139582›Full record

ArticleSensors (Basel, Switzerland)2023

Efficacy of Marker-Based Motion Capture for Respiratory Cycle Measurement: A Comparison with Spirometry.

Natalia D Shamantseva, Tatiana A Klishkovskaia, Sergey S Ananyev, Andrey Y Aksenov, Tatiana R Moshonkina

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Sensors (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

5 authors.

Natalia D ShamantsevaPavlov Institute of Physiology, Russian Academy of Sciences, 6 Makarova Emb., Saint Petersburg 199034, Russia.ORCID 0000-0001-8332-1843
Tatiana A KlishkovskaiaFaculty of Information Measurement and Biotechnical Systems, Saint Petersburg Electrotechnical University "LETI", 5 Professora Popova Str., Saint Petersburg 197022, Russia.
Sergey S AnanyevPavlov Institute of Physiology, Russian Academy of Sciences, 6 Makarova Emb., Saint Petersburg 199034, Russia.ORCID 0000-0001-9757-7946
Andrey Y AksenovFaculty of Information Measurement and Biotechnical Systems, Saint Petersburg Electrotechnical University "LETI", 5 Professora Popova Str., Saint Petersburg 197022, Russia.ORCID 0000-0002-7180-0561
Tatiana R MoshonkinaPavlov Institute of Physiology, Russian Academy of Sciences, 6 Makarova Emb., Saint Petersburg 199034, Russia.ORCID 0000-0002-8934-5253

Funding

Ministry of Science and Higher Education of the Russian Federation 075-15-2022-303
6 · The paper itself

Abstract

Respiratory rate monitoring is fundamental in clinical settings, and the accuracy of measurement methods is critical. This study aimed to develop and validate methods for assessing respiratory rate and the duration leof respiratory cycle phases in different body positions using optoelectronic plethysmography (OEP) based on a motion capture video system. Two analysis methods, the summation method and the triangle method were developed. The study focused on determining the optimal number of markers while achieving accuracy in respiratory parameter measurements. The results showed that most analysis methods showed a difference of ≤0.5 breaths per minute, with R

Indexed as

Motion CaptureRespiratory RatePlethysmographyRespirationSpirometrymotion captureoptoelectronic plethysmographyrespiratory raterespiratory time componentsspirometry

Identifiers

PMID38139582
PMCPMC10748239

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.