An Automated Approach for General Movement Assessment: A Pilot Study
Autor: | Nicola Pesenti, Camilla Fontana, Fabio Mosca, Raffaele Dellaca, Valeria Ottaviani, Monica Fumagalli, Sofia E. Sforza, Chiara Veneroni, Odoardo Picciolini |
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Přispěvatelé: | Fontana, C, Ottaviani, V, Veneroni, C, Sforza, S, Pesenti, N, Mosca, F, Picciolini, O, Fumagalli, M, Dellaca, R |
Rok vydání: | 2021 |
Předmět: |
medicine.medical_specialty
genetic structures neurodevelopment Term equivalent age business.industry Brief Research Report Movement assessment Pediatrics infant RJ1-570 Abnormal movements Quantitative measure Jerk accelerometer Physical medicine and rehabilitation general movement assessment newborn Pediatrics Perinatology and Child Health Kurtosis medicine business |
Zdroj: | Frontiers in Pediatrics Frontiers in Pediatrics, Vol 9 (2021) |
ISSN: | 2296-2360 |
Popis: | Objective: The objective of the study was to develop an automatic quantitative approach to identify infants with abnormal movements of the limbs at term equivalent age (TEA) compared with general movement assessment (GMA).Methods: GMA was performed at TEA by a trained operator in neonates with neurological risk. GMs were classified as normal (N) or abnormal (Ab), which included poor repertoire and cramped synchronized movements. The signals from four micro-accelerometers placed on all limbs were recorded for 10 min simultaneously. A global index (KC_index), quantifying the characteristics of individual limb movements and the coordination among the limbs, was obtained by adding normalized kurtosis of the distribution of the first principal component of the acceleration signals to the cross-correlation of the jerk for the upper and lower limbs.Results: Sixty-eight infants were studied. A KC_index cut-off of 201.5 (95% CI: 199.9–205.0) provided specificity = 0.86 and sensitivity = 0.88 in identifying infants with Ab movements.Conclusions: KC_index provides an automatic and quantitative measure that may allow the identification of infants who require further neurological evaluation. |
Databáze: | OpenAIRE |
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