Stroke patients are monitored hourly by physicians and nurses in an attempt to better understand their physical state. To quantify the patients’ level of mobility, hourly movement (i.e. motor) assessment scores are performed, which can be taxing and time-consuming for nurses and physicians. In this paper, we attempt to find a correlation between patient motor scores and continuous accelerometer data recorded in subjects who are unilaterally impaired due to stroke. The accelerometers were placed on both upper and lower extremities of four severely unilaterally impaired patients and their movements were recorded continuously for 7 to 14 days. Features that incorporate movement smoothness, strength, and characteristic movement patterns were extracted from the accelerometers using time-frequency analysis. Support vector classifiers were trained with the extracted features to test the ability of the long term accelerometer recordings in predicting dependent and antigravity sides, and significantly above baseline performance was obtained in most instances ( $P < 0.05$ ). Finally, a leave-one-subject-out approach was carried out to assess the generalizability of the proposed methodology, and above baseline performance was obtained in two out of the three tested subjects. The methodology presented in this paper provides a simple, yet effective approach to perform long term motor assessment in neurocritical care patients.

中文翻译：

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使用加速度计长期监测中风患者

医生和护士每小时对中风患者进行监测，以便更好地了解他们的身体状况。为了量化患者的活动水平，执行每小时运动（即运动）评估分数，这对于护士和医生来说可能是繁重和耗时的。在本文中，我们试图找到患者运动评分与记录在因中风而单侧受损的受试者中的连续加速度计数据之间的相关性。加速度计被放置在四名严重单侧受损患者的上肢和下肢，并连续记录他们的运动 7 到 14 天。使用时频分析从加速度计中提取包含运动平滑度、强度和特征运动模式的特征。支持向量分类器使用提取的特征进行训练，以测试长期加速度计记录在预测依赖侧和反重力侧的能力，并且在大多数情况下获得了显着高于基线的性能（$P < 0.05$）。最后，采用留一科目排除方法来评估所提出方法的普遍性，并且在三个测试科目中的两个科目中获得了高于基线的性能。本文中介绍的方法提供了一种简单而有效的方法来对神经重症监护患者进行长期运动评估​​。采取留一科目排除方法来评估拟议方法的普遍性，并且在三个测试科目中的两个科目中获得了高于基线的表现。本文中提出的方法提供了一种简单而有效的方法来对神经重症监护患者进行长期运动评估​​。采取留一科目排除方法来评估拟议方法的普遍性，并且在三个测试科目中的两个科目中获得了高于基线的表现。本文中提出的方法提供了一种简单而有效的方法来对神经重症监护患者进行长期运动评估​​。