Evidence map›Paper›PMID 36564107›Full record

ArticleBMJ open2022

Contactless monitoring of respiratory rate (RR) and heart rate (HR) in non-acuity settings: a clinical validity study.

Muralidhar Varma, Trevor Sequeira, Navaneetha Krishnan S Naidu, Yogish Mallya, Amarendranath Sunkara, Praveen Patil, Nagaraj Poojary, Manikanda Krishnan Vaidyanathan, Benoît Balmaekers, Joseph Thomas and 2 more

Open access · goldAbstract read
In one paragraph

Article in BMJ open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.5field-weighted citation impact, top 41% of its field
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

6 citing papers in PubMed, 7 citations in OpenAlex.

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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

12 authors at 3 institutions in 2 countries.

Muralidhar VarmaDepartment of Infectious Diseases, Kasturba Medical College, Manipal Academy of Higher Education, Manipal, Karnataka, India.
Trevor SequeiraDepartment of Critical Care, Kasturba Medical College, Manipal Academy of Higher Education, Manipal, Karnataka, India.
Navaneetha Krishnan S NaiduPhilips Innovation Campus, MFAR Manyata Tech Park, Nagavara, Philips Research, Bangalore, Karnataka, India.
Yogish MallyaPhilips Innovation Campus, MFAR Manyata Tech Park, Nagavara, Philips Research, Bangalore, Karnataka, India.
Amarendranath SunkaraPhilips Innovation Campus, MFAR Manyata Tech Park, Nagavara, Philips Research, Bangalore, Karnataka, India.
Praveen PatilPhilips Innovation Campus, MFAR Manyata Tech Park, Nagavara, Philips Research, Bangalore, Karnataka, India.
Nagaraj PoojaryPhilips Innovation Campus, MFAR Manyata Tech Park, Nagavara, Philips Research, Bangalore, Karnataka, India.
Manikanda Krishnan VaidyanathanPhilips Innovation Campus, MFAR Manyata Tech Park, Nagavara, Philips Research, Bangalore, Karnataka, India.
Benoît BalmaekersPhilips Research Eindhoven, Noord-Brabant, The Netherlands.ORCID 0000-0002-4034-7223
Joseph ThomasDepartment of Plastic Surgery, Kasturba Medical College, Manipal Academy of Higher Education, Manipal, Karnataka, India.ORCID 0000-0001-5432-0083
Shankar Prasad NDepartment of Nephrology, Kasturba Medical College, Manipal Academy of Higher Education, Manipal, Manipal, Karnataka, India.
Sulochana BadagabettuFundamentals of Nursing, Manipal College of Nursing, Manipal Academy of Higher Education, Manipal, Karnataka, India sulochana.k@manipal.edu.ORCID 0000-0002-2242-3413
Philips (India) · INManipal Academy of Higher Education · INPhilips (Netherlands) · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivePatient monitoring in general wards primarily involves intermittent observation of temperature, heart rate (HR), respiratory rate (RR) and blood pressure performed by the nursing staff. Several hours can lapse between such measurements, and the patient may go unobserved. Despite the growing widespread use of sensors to monitor vital signs and physical activities of healthy individuals, most acutely ill hospitalised patients remain unmonitored, leaving them at an increased risk. We investigated whether a contactless monitoring system could measure vital parameters, such as HR and RR, in a real-world hospital setting.

designA cross-sectional prospective study. SETTING AND

participantsWe examined the suitability of employing a non-contact monitoring system in a low-acuity setup at a tertiary care hospital in India. Measurements were performed on 158 subjects, with data acquired through contactless monitoring from the general ward and dialysis unit. OUTCOME MEASURES: Vital parameters (RR and HR) were measured using a video camera in a non-acuity setting.

resultsThree distinct combinations of contactless monitoring afforded excellent accuracy. Contactless RR monitoring was linearly correlated with Alice NightOne and manual counts, presenting coefficients of determination of 0.88 and 0.90, respectively. Contactless HR monitoring presented a coefficient of determination of 0.91. The mean absolute errors were 0.84 and 2.15 beats per minute for RR and HR, respectively.

conclusionsCompared with existing Food and Drug Administration-approved monitors, the findings of the present study revealed that contactless monitoring of RR and HR accurately represented study populations in non-acuity settings. Contactless video monitoring is an unobtrusive and dependable method for monitoring and recording RR and HR. Further research is needed to validate its dependability and utility in other settings, including acute care. TRIAL REGISTRATION NUMBER: CTRI/2018/11/016246.

Indexed as

Renal DialysisRespiratory RateCross-Sectional StudiesHeart RateHumansMonitoring, PhysiologicProspective Studiesadult intensive & critical caredialysisinternal medicine

Identifiers

PMID36564107
PMCPMC9791412
OpenAlexW4312107455

What OpenQuestion holds

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LicenceCC BY-NC
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.