Evidence map›Paper›PMID 39494377›Full record

ReviewFrontiers in pediatrics2024

Emerging innovations in neonatal monitoring: a comprehensive review of progress and potential for non-contact technologies.

Brooke A Krbec, Xiang Zhang, Inbar Chityat, Alexandria Brady-Mine, Evan Linton, Daniel Copeland, Brian W Anthony, Elazer R Edelman, Jonathan M Davis

Abstract readReview
In one paragraph

Review in Frontiers in pediatrics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 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.

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

15 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  13. 21Frontiers in pediatrics · 2025
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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

9 authors.

Brooke A KrbecDivision of Newborn Medicine, Tufts Medical Center, Boston, MA, United States.
Xiang ZhangInstitute for Medical Engineering and Science, Department of Mechanical Engineering, Center for Clinical and Translational Research, Massachusetts Institute of Technology, Cambridge, MA, United States.
Inbar ChityatInstitute for Medical Engineering and Science, Department of Mechanical Engineering, Center for Clinical and Translational Research, Massachusetts Institute of Technology, Cambridge, MA, United States.
Alexandria Brady-MineInstitute for Medical Engineering and Science, Department of Mechanical Engineering, Center for Clinical and Translational Research, Massachusetts Institute of Technology, Cambridge, MA, United States.
Evan LintonInstitute for Medical Engineering and Science, Department of Mechanical Engineering, Center for Clinical and Translational Research, Massachusetts Institute of Technology, Cambridge, MA, United States.
Daniel CopelandInstitute for Medical Engineering and Science, Department of Mechanical Engineering, Center for Clinical and Translational Research, Massachusetts Institute of Technology, Cambridge, MA, United States.
Brian W AnthonyInstitute for Medical Engineering and Science, Department of Mechanical Engineering, Center for Clinical and Translational Research, Massachusetts Institute of Technology, Cambridge, MA, United States.
Elazer R EdelmanInstitute for Medical Engineering and Science, Department of Mechanical Engineering, Center for Clinical and Translational Research, Massachusetts Institute of Technology, Cambridge, MA, United States.
Jonathan M DavisDivision of Newborn Medicine, Tufts Medical Center, Boston, MA, United States.

Funding

Tufts Clinical and Translational Science Institute (Clinical Trial Design Labs Supplement)UM1TR004398 · NCATS · TUFTS UNIVERSITY BOSTON · PI Harry P. Selker · 2023 to 2026
$44.5M
Alliance for Pediatric Device InnovationP50FD007965 · FDA · CHILDREN'S RESEARCH INSTITUTE · PI Julia Cole Finkel · 2023 to 2026
$5.9M
FDA HHS P50 FD006430FDA HHS P50 FD007965NCATS NIH HHS UM1 TR004398
6 · The paper itself

Abstract

Continuous monitoring of high-risk neonates is essential for the timely management of medical conditions. However, the current reliance on wearable or contact sensor technologies for vital sign monitoring often leads to complications including discomfort, skin damage, and infections which can impede medical management, nursing care, and parental bonding. Moreover, the dependence on multiple devices is problematic since they are not interconnected or time-synchronized, use a variety of different wires and probes/sensors, and are designed based on adult specifications. Therefore, there is an urgent unmet need to enable development of wireless, non- or minimal-contact, and non-adhesive technologies capable of integrating multiple signals into a single platform, specifically designed for neonates. This paper summarizes the limitations of existing wearable devices for neonates, discusses advancements in non-contact sensor technologies, and proposes directions for future research and development.

Indexed as

artificial intelligencecamerainnovationneonatal monitoringnon-contact technologiesradarsensorsvital signs

Identifiers

PMID39494377
PMCPMC11528303

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.