Evidence map›Paper›PMID 32244544›Full record

ArticleBrain sciences2020

Movidea: A Software Package for Automatic Video Analysis of Movements in Infants at Risk for Neurodevelopmental Disorders.

Walter Baccinelli, Maria Bulgheroni, Valentina Simonetti, Francesca Fulceri, Angela Caruso, Letizia Gila, Maria Luisa Scattoni

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in Brain sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06915805 (BABY@NET), which is not on this map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
8.2field-weighted citation impact, top 2% 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.

NCT06915805 recruitingnot on this mapstarted 2023, after this paper: background citation

BABY@NET: A Technology-based National Surveillance Network for the Early Identification of Autism Spectrum Disorder and Other Neurodevelopmental Disorders in At-risk Populations

TypeobservationalSponsorIstituto Superiore di SanitàRan2023 to 2025Enrolled296ConditionsAutism Spectrum Disorder (ASD), Neurodevelopmental Disorders
3 · Its place in the literature

Who cites it

13 citing papers in PubMed, 29 citations in OpenAlex.

  1. Trial
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. 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

7 authors at 2 institutions in 1 country.

Walter BaccinelliR&D, Department, Ab.Acus srl, via F. Caracciolo 77, 20155 Milano, Italy.
Maria BulgheroniR&D, Department, Ab.Acus srl, via F. Caracciolo 77, 20155 Milano, Italy.ORCID 0000-0001-8484-9834
Valentina SimonettiR&D, Department, Ab.Acus srl, via F. Caracciolo 77, 20155 Milano, Italy.
Francesca FulceriResearch Coordination and Support Service, Istituto Superiore di Sanità, Viale Regina Elena 299, 00161 Roma, Italy.
Angela CarusoResearch Coordination and Support Service, Istituto Superiore di Sanità, Viale Regina Elena 299, 00161 Roma, Italy.
Letizia GilaResearch Coordination and Support Service, Istituto Superiore di Sanità, Viale Regina Elena 299, 00161 Roma, Italy.
Maria Luisa ScattoniResearch Coordination and Support Service, Istituto Superiore di Sanità, Viale Regina Elena 299, 00161 Roma, Italy.ORCID 0000-0002-6659-0280
Istituto Superiore di Sanità · ITAb.Acus (Italy) · IT

Funding

H2020 Marie Skłodowska-Curie Actions 814302Ministero della Salute NET 2013- 02355263
6 · The paper itself

Abstract

Early detecting the presence of neurodevelopmental disorders plays an important role in the effectiveness of the treatment. In this paper, we present a novel tool to extract motion features using single camera video recordings of infants. The Movidea software was developed to allow the operator to track the movement of end-effectors of infants in free moving conditions and extract movement features automatically. Movidea was used by different operators to analyze a set of video recordings and its performance was evaluated. The results showed that Movidea performance did not vary with the operator, and the tracking was also stable in home-video recordings. Even if the setup allowed for a two-dimensional analysis, most of the informative content of the movement was maintained. The reliability of the measures and features extracted, as well as the easiness of use, may boost the uptake of the proposed solution in clinical settings. Movidea overcomes the current limitation in the clinical practice in early detection of neurodevelopmental disorders by providing objective measures based on reliable data, and adds a new tool for the motor analysis of infants through unobtrusive technology.

Indexed as

infant screeningmotion analysisneurodevelopmental disordersvideo signal processing

Identifiers

PMID32244544
PMCPMC7226155
OpenAlexW3014156643

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.