Evidence map›Paper›PMID 33743106›Full record

ArticleJournal of clinical monitoring and computing2022

Continuous non-contact respiratory rate and tidal volume monitoring using a Depth Sensing Camera.

Paul S Addison, Philip Smit, Dominique Jacquel, Anthony P Addison, Cyndy Miller, Gardner Kimm

Abstract read
In one paragraph

Article in Journal of clinical monitoring and computing, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Noncontact respiratory monitoring during sleep: comparison of the touchless flow signal with respiratory inductance plethysmography flow (RIPJournal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2025
    Article
  5. Article
  6. Non-Contact Monitoring of Inhalation-Exhalation (I:E) Ratio in Non-Ventilated Subjects.IEEE journal of translational engineering in health and medicine · 2024
    Article
  7. Observational
  8. Review
  9. 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

6 authors.

Paul S AddisonVideo Biosignals Group, Patient Monitoring, Medtronic, Technopole Centre, Edinburgh, EH26 0PJ, UK. paul.addison@medtronic.com.ORCID 0000-0002-6925-0935
Philip SmitVideo Biosignals Group, Patient Monitoring, Medtronic, Technopole Centre, Edinburgh, EH26 0PJ, UK.
Dominique JacquelVideo Biosignals Group, Patient Monitoring, Medtronic, Technopole Centre, Edinburgh, EH26 0PJ, UK.
Anthony P AddisonVideo Biosignals Group, Patient Monitoring, Medtronic, Technopole Centre, Edinburgh, EH26 0PJ, UK.
Cyndy MillerRespiratory Interventions, Medtronic, Ventilation, Carlsbad, CA, USA.
Gardner KimmRespiratory Interventions, Medtronic, Ventilation, Carlsbad, CA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The monitoring of respiratory parameters is important across many areas of care within the hospital. Here we report on the performance of a depth-sensing camera system for the continuous non-contact monitoring of Respiratory Rate (RR) and Tidal Volume (TV), where these parameters were compared to a ventilator reference. Depth sensing data streams were acquired and processed over a series of runs on a single volunteer comprising a range of respiratory rates and tidal volumes to generate depth-based respiratory rate (RR

Indexed as

Respiratory RateVentilators, MechanicalHumansMonitoring, PhysiologicRespiration, ArtificialTidal VolumeCOVID-19Depth sensing cameraRespiratory functionRespiratory rateTidal volume

Identifiers

PMID33743106
PMCPMC7980749

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.