Evidence map›Paper›PMID 37501976›Full record

ReviewHeliyon2023

Continuous sensing and quantification of body motion in infants: A systematic review.

Zheng Peng, Deedee Kommers, Rong-Hao Liang, Xi Long, Ward Cottaar, Hendrik Niemarkt, Peter Andriessen, Carola van Pul

Open access · goldAbstract readReview
In one paragraph

Review in Heliyon, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.6field-weighted citation impact, top 10% 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

8 citing papers in PubMed, 10 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Accurate prediction of neurologic changes in critically ill infants using pose AI.medRxiv : the preprint server for health sciences · 2024
    Article
  8. 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

8 authors at 3 institutions in 1 country.

Zheng PengDepartment of Applied Physics, Eindhoven University of Technology, Eindhoven, the Netherlands.
Deedee KommersDepartment of Applied Physics, Eindhoven University of Technology, Eindhoven, the Netherlands.
Rong-Hao LiangDepartment of Electrical Engineering, Eindhoven University of Technology, Eindhoven, the Netherlands.
Xi LongDepartment of Electrical Engineering, Eindhoven University of Technology, Eindhoven, the Netherlands.
Ward CottaarDepartment of Applied Physics, Eindhoven University of Technology, Eindhoven, the Netherlands.
Hendrik NiemarktDepartment of Applied Physics, Eindhoven University of Technology, Eindhoven, the Netherlands.
Peter AndriessenDepartment of Applied Physics, Eindhoven University of Technology, Eindhoven, the Netherlands.
Carola van PulDepartment of Applied Physics, Eindhoven University of Technology, Eindhoven, the Netherlands.
Radboud University Nijmegen · NLEindhoven University of Technology · NLPhilips (Netherlands) · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Abnormal body motion in infants may be associated with neurodevelopmental delay or critical illness. In contrast to continuous patient monitoring of the basic vitals, the body motion of infants is only determined by discrete periodic clinical observations of caregivers, leaving the infants unattended for observation for a longer time. One step to fill this gap is to introduce and compare different sensing technologies that are suitable for continuous infant body motion quantification. Therefore, we conducted this systematic review for infant body motion quantification based on the PRISMA method (Preferred Reporting Items for Systematic Reviews and Meta-Analyses). In this systematic review, we introduce and compare several sensing technologies with motion quantification in different clinical applications. We discuss the pros and cons of each sensing technology for motion quantification. Additionally, we highlight the clinical value and prospects of infant motion monitoring. Finally, we provide suggestions with specific needs in clinical practice, which can be referred by clinical users for their implementation. Our findings suggest that motion quantification can improve the performance of vital sign monitoring, and can provide clinical value to the diagnosis of complications in infants.

Indexed as

InfantMotion monitoringSensing technology

Identifiers

PMID37501976
PMCPMC10368857
OpenAlexW4384133576

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.