Evidence map›Paper›PMID 41978060›Full record

ArticleSensors (Basel, Switzerland)2026

Noninvasive Measurement of Infant Respiration During Sleep: A Validation Study.

Melissa N Horger, Maristella Lucchini, Shambhavi Thakur, Rebecca M C Spencer, Natalie Barnett

Abstract readValidation Study
In one paragraph

Article in Sensors (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Melissa N HorgerDepartment of Psychological and Brain Sciences, College of Natural Sciences, University of Massachusetts Amherst, Amherst, MA 01003, USA.
Maristella LucchiniNanit Lab, New York, NY 10001, USA.ORCID 0000-0002-7968-7196
Shambhavi ThakurNanit Lab, New York, NY 10001, USA.ORCID 0000-0002-0857-5613
Rebecca M C SpencerDepartment of Psychological and Brain Sciences, College of Natural Sciences, University of Massachusetts Amherst, Amherst, MA 01003, USA.ORCID 0000-0002-8674-2384
Natalie BarnettNanit Lab, New York, NY 10001, USA.ORCID 0009-0006-2580-1965

Funding

Nanit N/A
6 · The paper itself

Abstract

Infant respiration is a physiological marker of health and wellbeing that can provide insight into sleep and wake patterns. Technological innovation presents opportunities to enhance measurements of physiological signals, which improves ecological validity and participant experiences. This is particularly true in the context of studying infant sleep, as it can be disrupted by changes in the environment and the physical sensation of unfamiliar or uncomfortable sensors. The goal of this study was to examine if a commercially available video baby monitor (Nanit system) can accurately estimate respiration during a nap relative to a commonly used cardiorespiratory sensor (Isansys Lifetouch sensor). Thirty-three infants (M = 9.7 months; range = 1-22 months) took a nap while wearing the Lifetouch sensor and Nanit Breathing Band. Infants slept in view of the Nanit camera. A computer vision algorithm applied to the video detected movement of the patterns on the fabric band worn around the infant's torso to determine respiratory rates. The results showed strong consistency between the devices. More than 95% of the minute-by-minute respiration data fell within the limits of agreement, with little bias. Agreement was not influenced by age or nap duration, suggesting the Nanit Breathing Band provides a valid measure of respiration across infancy.

Indexed as

RespirationSleepAlgorithmsFemaleHumansInfantMaleMonitoring, PhysiologicRespiratory Ratebreathingin homemethodologynapvideosomnography

Identifiers

PMID41978060
PMCPMC13075246

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.