Evidence map›Paper›PMID 30795595›Full record

ReviewSensors (Basel, Switzerland)2019

Contact-Based Methods for Measuring Respiratory Rate.

Carlo Massaroni, Andrea Nicolò, Daniela Lo Presti, Massimo Sacchetti, Sergio Silvestri, Emiliano Schena

Registry-linked trialAbstract readReview
In one paragraph

Review in Sensors (Basel, Switzerland), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06292299 (The PARS Study), which is not on this map. Cited by 126 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
126citing papers in PubMed, 2 pooled it
–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.

NCT06292299 recruitingnot on this mapstarted 2024, after this paper: background citation

The PARS Study: Paediatric Advanced Respiratory Service Study - An Observational Diagnostic Feasibility Study

Typeobservational_patient_registrySponsorNHS Greater Clyde and GlasgowRan2024 to 2027Enrolled225ConditionsSleep Disordered Breathing, Apnea of Prematurity, Respiratory Rate, Sudden Unexpected Death in EpilepsyArmsPneumowave
3 · Its place in the literature

Who cites it

126 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Observational
  4. Article
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  6. Clinical validation of a novel accelerometer-based respiratory rate monitor.Journal of clinical monitoring and computing · 2026
    Observational
  7. Review
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  11. Review
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66 more citing papers are in PubMed but not listed here.

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.

Carlo MassaroniUnit of Measurements and Biomedical Instrumentation, Department of Engineering, Università Campus Bio-Medico di Roma, Via Alvaro del Portillo, 21, 00128 Rome, Italy. c.massaroni@unicampus.it.ORCID 0000-0002-3090-5623
Andrea NicolòDepartment of Movement, Human and Health Sciences, University of Rome "Foro Italico", 00135 Rome, Italy. andrea.nicolo@yahoo.com.ORCID 0000-0002-4716-1667
Daniela Lo PrestiUnit of Measurements and Biomedical Instrumentation, Department of Engineering, Università Campus Bio-Medico di Roma, Via Alvaro del Portillo, 21, 00128 Rome, Italy. d.lopresti@unicampus.it.ORCID 0000-0002-1507-231X
Massimo SacchettiDepartment of Movement, Human and Health Sciences, University of Rome "Foro Italico", 00135 Rome, Italy. massimo.sacchetti@uniroma4.it.ORCID 0000-0002-5365-5161
Sergio SilvestriUnit of Measurements and Biomedical Instrumentation, Department of Engineering, Università Campus Bio-Medico di Roma, Via Alvaro del Portillo, 21, 00128 Rome, Italy. s.silvestri@unicampus.it.ORCID 0000-0002-5863-8336
Emiliano SchenaUnit of Measurements and Biomedical Instrumentation, Department of Engineering, Università Campus Bio-Medico di Roma, Via Alvaro del Portillo, 21, 00128 Rome, Italy. e.schena@unicampus.it.ORCID 0000-0002-9696-1265

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There is an ever-growing demand for measuring respiratory variables during a variety of applications, including monitoring in clinical and occupational settings, and during sporting activities and exercise. Special attention is devoted to the monitoring of respiratory rate because it is a vital sign, which responds to a variety of stressors. There are different methods for measuring respiratory rate, which can be classed as contact-based or contactless. The present paper provides an overview of the currently available contact-based methods for measuring respiratory rate. For these methods, the sensing element (or part of the instrument containing it) is attached to the subject's body. Methods based upon the recording of respiratory airflow, sounds, air temperature, air humidity, air components, chest wall movements, and modulation of the cardiac activity are presented. Working principles, metrological characteristics, and applications in the respiratory monitoring field are presented to explore potential development and applicability for each method.

Indexed as

RespirationExerciseHumansMonitoring, PhysiologicRespiratory RateThoracic Wallcontact-basedmeasurementrespiratory frequencysensorswearable

Identifiers

PMID30795595
PMCPMC6413190

What OpenQuestion holds

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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.