ArticleSensors (Basel, Switzerland)2026
Safe Fall: Use of Predictive Modeling and Machine Vision Techniques for Fall Analysis and Fall Quality.
O DelCastillo-Andrés, R Fernández-García, J C Pastor-Vicedo, M A Lira, M C Campos-Mesa, C Castañeda-Vázquez, E Genovesi, S Krstulović, G Kuvačić, K Morvay-Sey and 1 more
Abstract read
In one paragraphArticle in Sensors (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from itWhat 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 registryThe 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 literatureWho cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
4 · The recordCorrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
5 · Who and what moneyAuthors and funding
11 authors.
O DelCastillo-AndrésDepartment of Physical Education and Sport, Area of Didactics of Body Expression, Faculty of Educational Sciences, University of Seville, 41009 Seville, Spain.ORCID 0000-0002-3024-1097 R Fernández-GarcíaDepartment of Electronic Engineering, Universitat Politècnica de Catalunya, 08222 Terrassa, Spain.ORCID 0000-0002-4030-7256 J C Pastor-VicedoFacultad de Educación de Albacete, Universidad de Castilla-La Mancha, 02071 Albacete, Spain.ORCID 0000-0001-5771-6542 M A LiraDepartment of Applied Didactics, Physical Education Section, Faculty of Education, University of Barcelona (UB), 08007 Barcelona, Spain.ORCID 0000-0003-4686-2725 M C Campos-MesaDepartment of Physical Education and Sport, Area of Didactics of Body Expression, Faculty of Educational Sciences, University of Seville, 41009 Seville, Spain.ORCID 0000-0001-7626-9688 C Castañeda-VázquezDepartment of Physical Education and Sport, Area of Didactics of Body Expression, Faculty of Educational Sciences, University of Seville, 41009 Seville, Spain.ORCID 0000-0002-0647-507X E GenovesiUSchool of Exercise and Sport Sciences, Department of Biomedical Sciences for Health, Università degli Studi di Milano, 20122 Milan, Italy.ORCID 0009-0003-6461-2567 K Morvay-SeyInstitute of Physiotherapy and Sport Sciences, Faculty of Health Sciences, University of Pécs, 7621 Pécs, Hungary.ORCID 0000-0001-5468-9358 R Sánchez-ReolidDepartment of Information Technologies and Systems, Faculty of Social Sciences and Information Technologies, University of Castilla-La Mancha, 45600 Talavera de la Reina, Spain.ORCID 0000-0003-4455-370X Funding
No grant is acknowledged in the PubMed record.
6 · The paper itselfAbstract
Falls are a leading cause of paediatric injuries, yet school-based prevention relies heavily on subjective observation rather than objective biomechanical assessment. This paper introduces the
Indexed as
Accidental FallsBiomechanical PhenomenaChildFemaleHumansMachine LearningPredictive Learning ModelsRandom ForestVideo Recordingbiomechanicscomputer visionfall detectioninjury preventionmachine learningprotective strategiessafe fallingSAM 2
Identifiers
PMID42076598
PMCPMC13120547
What OpenQuestion holds
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LicenceCC BY
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