ArticleIEEE journal of translational engineering in health and medicine2022
Contactless Monitoring of Breathing Pattern and Thoracoabdominal Asynchronies in Preterm Infants Using Depth Cameras: A Feasibility Study.
Article in IEEE journal of translational engineering in health and medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.
What it found
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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.
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.
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Who cites it
7 citing papers in PubMed, 1 synthesis or guideline pooled it, 15 citations in OpenAlex.
- Next generation of non-contact and wireless vital sign monitoring technology in the neonatal intensive care unit: a systematic review.Pediatric research · 2026Pooled it
- Clinical Evaluation of an AI-Based Prototype for Contactless Respiratory Monitoring in Children.Children (Basel, Switzerland) · 2026Article
- Continuous non-contact monitoring of neonatal activity.BMC pediatrics · 2025Article
- A Wireless Neonatal Intensive Care Unit: Fiction or Closer Reality?Neonatology · 2025Article
- Non-Contact Measurement of Cardiopulmonary Activity Using Software Defined Radios.IEEE journal of translational engineering in health and medicine · 2024Article
- Challenges and prospects of visual contactless physiological monitoring in clinical study.NPJ digital medicine · 2023Review
- Breathing Chest Wall Kinematics Assessment through a Single Digital Camera: A Feasibility Study.Sensors (Basel, Switzerland) · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveMonitoring infants' breathing activity is crucial in research and clinical applications but remains a challenge. This study aims to develop a contactless method to monitor breathing patterns and thoracoabdominal asynchronies in infants inside the incubator, using depth cameras.
methodsWe proposed an algorithm to extract the 3D displacements of the ribcage and abdomen from the analysis of depth images. We evaluated the accuracy of the system
results
conclusionsThe developed system proved accurate CLINICAL IMPACT: The proposed method has value for evaluating infants' breathing patterns in research applications and, after further development, may represent a simple monitoring tool for infants' respiratory activity inside the incubator.
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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.