Evidence map›Paper›PMID 30182216›Full record

ArticleMedical & biological engineering & computing2019

Infant posture and movement analysis using a sensor-supported gym with toys.

Andraž Rihar, Matjaž Mihelj, Jure Pašič, Giuseppina Sgandurra, Francesca Cecchi, Giovanni Cioni, Paolo Dario, Marko Munih

Abstract read
PubMed Publisher
In one paragraph

Article in Medical & biological engineering & computing, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Hand Use and Grasp Sensor System in Monitoring Infant Fine Motor Development.Archives of rehabilitation research and clinical translation · 2022
    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.

Andraž RiharLaboratory of Robotics, Faculty of Electrical Engineering, University of Ljubljana, Trzaska cesta 25, 1000, Ljubljana, Slovenia. andraz.rihar@fe.uni-lj.si.ORCID http://orcid.org/0000-0002-7059-1817
Matjaž MiheljLaboratory of Robotics, Faculty of Electrical Engineering, University of Ljubljana, Trzaska cesta 25, 1000, Ljubljana, Slovenia.
Jure PašičLaboratory of Robotics, Faculty of Electrical Engineering, University of Ljubljana, Trzaska cesta 25, 1000, Ljubljana, Slovenia.
Giuseppina SgandurraIRCCS Fondazione Stella Maris, Viale del Tirreno 331, 56128, Calambrone, Pisa, Italy.
Francesca CecchiScuola Superiore Sant' Anna, The BioRobotics Institute, Viale Rinaldo Piaggio 34, 56025, Pontedera, Pisa, Italy.
Giovanni CioniIRCCS Fondazione Stella Maris, Viale del Tirreno 331, 56128, Calambrone, Pisa, Italy.
Paolo DarioScuola Superiore Sant' Anna, The BioRobotics Institute, Viale Rinaldo Piaggio 34, 56025, Pontedera, Pisa, Italy.
Marko MunihLaboratory of Robotics, Faculty of Electrical Engineering, University of Ljubljana, Trzaska cesta 25, 1000, Ljubljana, Slovenia.

Funding

FP7 Information and Communication Technologies () ICT-2011.5.1-287932
6 · The paper itself

Abstract

Infant posture and motor pattern development are normally analyzed by clinical assessment scales. Lately, this approach is combined with the use of sensor-supported systems, such as optical, inertial, and electromagnetic measurement systems, as well as novel assessment devices, such as CareToy. CareToy is a modular device for assessment and rehabilitation of preterm infants, comprising pressure mattresses, inertial and magnetic measurement units, and sensorized toys. Since such integrated sensor system combination is new to the field of sensor-supported infant behavior assessment and rehabilitation, dedicated methods for data analysis were developed and presented. These comprise trunk rotation, arm movement, forearm orientation, and head movement analysis, along with toy play and trunk posture stability evaluation. Methods were tested on case study data, evaluating suitability of developed algorithms for infant posture and activity analysis, regardless of behavioral responses. Obtained results demonstrate suitability of the proposed methods for successful use in studies of different motor pattern subfields. This represents an important step on the course towards objective, accurate, sensor-supported infant motor development assessment. Graphical abstract Posture and movement assessment of infants using analysis of sensory data, obtained with a dedicated sensorized gym with toys.

Indexed as

AlgorithmsBiomechanical PhenomenaHumansInfantInfant, NewbornInfant, PrematureMovementOrientationPlay and PlaythingsPosturePressureData processing algorithmsInertial and magnetic measurement unitsInfant activity assessmentPressure mattressSensorized toys

Identifiers

What OpenQuestion holds

Textmetadata
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.