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ABSTRACT: Background
Nowadays, wearable sensors are widely used to quantify physical and motor activity during daily life, and they also represent innovative solutions for healthcare. In the clinical framework, the assessment of motor behaviour is entrusted to clinical scales, but they are dependent on operator experience. Thanks to their intrinsic objectivity, sensor data are extremely useful to provide support to clinicians. Moreover, wearable sensors are user-friendly and compliant to be used in an ecological environment (i.e., at home). This paper aims to propose an innovative approach useful to predict clinical assessment scores of infants' motor activity.Materials and methods
Starting from data acquired by accelerometers placed on infants' wrists and trunk during playtime, we e
SUBMITTER: Franchi De' Cavalieri M
PROVIDER: S-EPMC10164332 | biostudies-literature | 2023 May
REPOSITORIES: biostudies-literature