Movement analysis in early infancy: Towards a motion biomarker of age
| Autor: | Vittorio Belmonti, Angelo Maria Sabatini, Andrea Guzzetta, M. Coluccini, Francesca Cecchi, Paolo Ghirri, Angela Grassi, Viviana Marchi |
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| Rok vydání: | 2019 |
| Předmět: |
Male
medicine.medical_specialty Spontaneous movements Movement Video Recording Kinematics Motion (physics) Computerised motor analysis Early motor development Infant kinematic Spontaneous motor activity Correlation 03 medical and health sciences 0302 clinical medicine Physical medicine and rehabilitation Child Development 030225 pediatrics medicine Image Processing Computer-Assisted Humans Motor skill Neurologic Examination business.industry Obstetrics and Gynecology Infant General movements Biomechanical Phenomena medicine.anatomical_structure Pediatrics Perinatology and Child Health Cohort Upper limb Female business 030217 neurology & neurosurgery |
| Zdroj: | Early human development. 142 |
| ISSN: | 1872-6232 |
| Popis: | Background Early motor development is characterized by progressive changes in general movements paralleled by a gradual organization of the four limbs' repertoire towards the midline, as shown by computerised movement analysis. Aims Our aim was to test the performance of quantitative computerised kinematic indexes as predictors of post-term age in an independent cohort of typically developing subjects at fidgety age, tested cross-sectionally. Subjects We selected twelve low risk term infants, who were video recorded between 9 and 20 weeks (fidgety age) during one spontaneous movements session. Study design We correlated post-term age with I)indexes of coordination including interlimb correlation of velocity and position, II)indexes of distance, including interlimb and limb-to- ground, both expressed as linear distance and as probability of midline limbs position III)indexes of global movement quality by calculating Hjorth's activity, mobility and complexity parameters. All indexes were calculated for both upper and lower limbs. Results Significant positive correlations were found between post-term age and indexes of distance, and probability of occurrence of upper-limb antigravity patterns, and with both indexes of global movement quality. By combining linear and non-linear parameters related to the upper limb kinematics, we determined individual post-term age with a mean error of Conclusions Quantitative computerised analysis of upper-limb movements is a promising predictor of post-term age in typically developing subjects at fidgety age. |
| Databáze: | OpenAIRE |
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