IEEE J Biomed Health Inform. 2015 May;19(3):803-14. doi: 10.1109/JBHI.2015.2425296.
In this study, we first characterize the sit-to-stand (S2S) task, which contributes to the evaluation of the degree of severity of the Parkinson's disease (PD), through kinematic features, which are then linked to the Unified Parkinson's disease rating scale (UPDRS) scores. We propose to use a single body-worn wireless inertial node placed on the chest of a patient. The experimental investigation is carried out considering 24 PD patients, comparing the obtained results directly with the kinematic characterization of the leg agility (LA) task performed by the same set of patients. We show that i) the S2S and LA tasks are rather unrelated and ii) the UPDRS distributions (for both S2S and LA tasks) across the patients have a direct impact on the observed system performance.
在这项研究中，我们首先通过运动学特征来描述从坐姿到站姿（S2S）的转换任务，这有助于评估帕金森病（PD）的严重程度，然后将运动学特征与统一帕金森病评定量表（UPDRS）评分联系起来。我们建议使用单个佩戴在患者胸部的无线惯性节点。通过考虑 24 名 PD 患者进行实验研究，我们将直接比较获得的结果与同一组患者执行的腿部敏捷性（LA）任务的运动学特征进行比较。我们表明，i）S2S 和 LA 任务关联性较低，ii）患者的 UPDRS 分布（对于 S2S 和 LA 任务）直接影响观察到的系统性能。
