journal article·2025-03-26Open access

Accuracy of Measurement Tools for Ocular-Origin Anomalous Head Posture and the Cervical Range of Motion Kinematics in Children with an Anomalous Head Position

Serena Cerfoglio, Francesco Bonsignore, Giuseppina Bernardelli, Lucia Donno, Fabiana Aili, Manuela Galli, Francesca Nucci, Edoardo Villani, Paolo Nucci, Veronica Cimolin

Applied Sciences· Volume 15· Issue 7

Abstract

The accurate assessment of anomalous head posture (AHP) is crucial for diagnosing, treating, and monitoring postural changes in individuals with ocular impairments. This study evaluated the accuracy of a digital goniometer and an iOS-based application by comparing their measurements to a gold-standard motion capture (MoCap) system. Additionally, it assessed cervical range of motion (ROM) limitations in children with AHP versus healthy controls. Fifteen pediatric patients with ocular-origin AHP and 20 age-matched controls participated. Head rotation and inclination were measured using a goniometer, the iOS app, and MoCap under static and dynamic conditions. Pearson’s correlation coefficient (PCC), root mean square error (RMSE), and Bland–Altman plots assessed inter-system agreement, while MoCap analyzed cervical ROM. The results showed strong agreement between the ophthalmological tools and MoCap for head rotation (PCC = 0.86, RMSE = 3.43°) and inclination (PCC = 0.82, RMSE = 5°), with no significant inter-system differences (p > 0.05). AHP patients exhibited reduced head flexion (p < 0.05), suggesting long-term postural adaptations. Digital goniometers and smartphone applications provide accurate, cost-effective AHP assessment alternatives, particularly in resource-limited settings. Future research should expand cohorts and integrate multidisciplinary approaches to refine assessment and treatment strategies.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Scoliosis diagnosis and treatment · Craniofacial Disorders and Treatments · Medical and Biological Sciences

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Department of Electronics, Information and Bioengineering, Politecnico di Milano, Piazza Leonardo da Vinci 32, 20133 Milano, Italy

IRCCS Istituto Auxologico Italiano, San Giuseppe Hospital, Strada Luigi Cadorna 90, 28824 Piancavallo, Italy

Clinica Oculistica, Ospedale San Giuseppe, IRCCS Multimedica, 20099 Milano, Italy

Department of Clinical Science and Community Health, Dipartimento di Eccellenza 2023-2027, University of Milan, 20122 Milano, Italy

Exercise Medicine Unit, IRCCS Istituto Auxologico Italiano, 20135 Milan, Italy

Clinica Odontoiatrica Università di Milano, 20142 Milano, Italy

Dipartimento di Scienze Biomediche, Chirurgiche e Odontoiatriche, University of Milan, 20122 Milano, Italy

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