Using Accelerometers to Quantify Infant General Movements as a Tool for Assessing Motility to Assist in Making a Diagnosis of Cerebral Palsy
Using Accelerometers to Quantify Infant General Movements as a Tool for Assessing Motility to Assist in Making a Diagnosis of Cerebral Palsy
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使用加速度计量化婴儿一般运动作为评估运动能力的工具，以协助诊断脑瘫
DOI：
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发表时间：
2003
期刊：
影响因子：
--
通讯作者：
Mark Conover
中科院分区：
文献类型：
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作者：
Mark Conover
直接测量婴儿运动的定量方法没有利用微型电子技术，也没有有效地用于评估神经功能障碍对运动的影响。本论文提出了一种新的定量技术测量婴儿一般运动（GM）使用微机电加速度计，同时讨论了未来的改进，这项技术和可能的好处，目前的诊断方法脑瘫。几十年来，GM引起了神经学家的兴趣，因为其特征可以表明神经功能障碍。整个身体的运动表现出流畅性、变化性和复杂性，这是正常GM的特征。分析这些运动可以准确地预测神经功能障碍，特别是脑瘫。本研究描述了一种技术，使一致的，定量测量的GM使用加速度计对婴儿的四肢。信号处理技术可以发现模式，后来确定的神经功能障碍的特征。这种分析补充了目前的录像审查技术。此外，可以使用更新的信号处理算法重新分析数据。准确的数据收集使医生能够快速回顾婴儿运动研究的整个历史。物理信息可以从数据中推断出来。相关技术比较了不同肢体的运动，以检查协调性。有证据表明，这可能有助于表明功能障碍。高速数据采集使研究高频运动成为可能，人眼可能无法检测到。本研究成功地记录了多个婴儿四肢在GM期间的加速度和视频。信号处理技术已经被应用于创建各种图形表示。运动的直接测量使这项工作独一无二，为医生提供了基于身体表现的图形分析工具。
Quantitative approaches to directly measure infant movement have not utilized miniature electronics technology, nor been used effectively in evaluating neurological dysfunctions affect on movement. This thesis presents a new quantitative technique for measuring infant general movements (GMs) using micro-electromechanical accelerometers, while discussing future improvements for this technology and possible benefits to present methods of diagnosing cerebral palsy. For decades, GMs have interested neurologists because characteristics can indicate neurological dysfunctions. Motions over the entire body that show fluency, variation, and complexity characterize normal GMs. Analyzing these movements can accurately predict neurological dysfunction cerebral palsy, in particular. This research describes a technique to make consistent, quantitative measurements of GMs using accelerometers on infant limbs. Signal processing techniques can find patterns, later determined characteristic of neurological dysfunctions. Such analyses complement the current technique of video footage review. Additionally, data could be reanalyzed using updated signal processing algorithms. An accurate collection of data allows physicians to quickly review an infants entire history of motion studies. Physical information can be inferred from the data. Correlation techniques have compared motions from different limbs to examine coordination. Evidence suggests this may help indicate dysfunction. High-speed data acquisition enables the study of highfrequency motions, possibly undetectable with the human eye. This research has successfully recorded acceleration and video during GMs from four limbs on multiple infants. Signal processing techniques have been applied to create various graphical representations. The direct measurement of movement makes this work unique, enabling a graphical analysis tool for physicians based on physical performance.
早期婴儿行为的振荡和复杂性。
影响因子：
4.6
作者：
Robertson,SS
通讯作者：
Robertson,SS