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An Infant Smart-Mobile System to Encourage Kicking Movements in Infants At-Risk of Cerebral Palsy

机译:一个婴儿智能移动系统,以鼓励婴儿患者风险的婴儿瘫痪

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Observations of spontaneous kicking patterns in infants have presented valuable insights into their development. At times, these kicking patterns can detect potential developmental delays in at-risk infants to help support diagnosis and intervention. However, the prevalence of developmental disabilities has increased and a protocol for early diagnosis is still not widely available outside of direct clinical observations. This paper presents a mobile system that aims at providing a prompt method for detecting atypical kicking patterns in at-risk infants. The Infant Smart-Mobile uses a robotic mobile coupled with wearable sensors for monitoring infant leg movements. We test the feasibility of the Infant Smart-Mobile by evaluating it with respect to data collected from a robotic humanoid designed to simulate kicking in a manner similar to that of infants with typical or atypical motor behavior.
机译:观察婴儿的自发踢腿模式介绍了他们的发展中有价值的见解。有时,这些踢的模式可以检测风险婴儿的潜在发育延误,以帮助支持诊断和干预。然而,发育障碍的患病率增加,早期诊断的议定书仍未在直接临床观察之外广泛使用。本文介绍了一种移动系统,旨在提供一种用于检测风险婴儿的非典型踢模式的迅速方法。婴儿智能手机使用机器人移动耦合,可穿戴传感器,用于监测婴幼儿腿部运动。我们通过对从机器人人形机器箱收集的数据进行评估来测试婴儿智能移动的可行性,该数据被设计用于模拟与具有典型或非典型电机行为的婴儿的方式类似的方式。

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