Ambulatory motor assessment in Parkinson's disease
Ambulatory motor assessment in Parkinson's disease
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DOI：
10.1002/mds.20633
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发表时间：
2006-01-01
影响因子：
8.6
通讯作者：
Gielen, SCAM
中科院分区：
文献类型：
--
作者：
Keijsers, NLW;Horstink, MWIM;Gielen, SCAM
我们开发了一种算法，可以区分帕金森病患者在日常生活活动中的开和关状态。23名患者在进行正常日常活动时，在类似家庭的情况下连续监测约3小时。实验期间患者的行为和评论被用于由训练有素的观察者确定开和关时段。使用三轴加速度计测量患者的行为，这些加速度计放置在身体上的六个不同位置。与运动功能减退（运动百分比）、运动迟缓（平均速度）和震颤（峰值频率高于4 Hz的百分比）相关的参数用于区分开和关状态。使用灵敏度和特异性评价开关检测。每例患者的性能定义为灵敏度和特异性的平均值。通过频域中的运动分析获得了对开和关状态进行分类的最佳性能，灵敏度为0.97，特异性为0.97。我们的结论是，我们的算法可以区分开和关状态，灵敏度和特异性接近0.97。这种方法，连同我们以前发表的方法来检测左旋多巴引起的运动障碍，可以自动评估帕金森病患者的运动状态，并可以在无人监督的非卧床条件下成功地操作。(C)2005年，任上海市人民政府副市长。
We developed an algorithm that distinguishes between on and off states in patients with Parkinson's disease during daily life activities. Twenty-three patients were monitored continuously in a home-like situation for approximately 3 hours while they carried out normal daily-life activities. Behavior and comments of patients during the experiment were used to determine the on and off periods by a trained observer. Behavior of the patients was measured using triaxial accelerometers, which were placed at six different positions on the body. Parameters related to hypokinesia (percentage movement), bradykinesia (mean velocity), and tremor (percentage peak frequencies above 4 Hz) were used to distinguish between on and off states. The on-off detection was evaluated using sensitivity and specificity. The performance for each patient was defined as the average of the sensitivity and specificity. The best performance to classify on and off states was obtained by analysis of movements in the frequency domain with a sensitivity of 0.97 and a specificity of 0.97. We conclude that our algorithm can distinguish between on and off states with a sensitivity and specificity near 0.97. This method, together with our previously published method to detect levodopa-induced dyskinesia, can automatically assess the motor state of Parkinson's disease patients and can operate successfully in unsupervised ambulatory conditions. (C) 2005 Movement Disorder Society.