Assigning UPDRS Scores in the Leg Agility Task of Parkinsonians: Can It Be Done Through BSN-Based Kinematic Variables?
Assigning UPDRS Scores in the Leg Agility Task of Parkinsonians: Can It Be Done Through BSN-Based Kinematic Variables?
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DOI：
10.1109/jiot.2015.2390075
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发表时间：
2015-02-01
影响因子：
10.6
通讯作者：
Mauro, Alessandro
中科院分区：
文献类型：
--
作者：
Giuberti, Matteo;Ferrari, Gianluigi;Mauro, Alessandro
在本文中，通过表征腿敏捷性（LA）任务，这有助于帕金森病（PD）的严重程度的评估，通过运动学变量（包括大腿运动的角振幅和速度），我们调查这些变量之间的联系和统一的帕金森病评定量表（APPRS）分数。我们的调查依赖于使用几个身体佩戴的无线惯性节点，并代表了便携式系统设计的第一步，适合集成在物联网（IoT）场景中，用于自动检测PD的严重程度（以ARMRS评分）。考虑到24例PD患者进行了实验研究。
In this paper, by characterizing the leg agility (LA) task, which contributes to the evaluation of the degree of severity of the Parkinson's disease (PD), through kinematic variables (including the angular amplitude and speed of thighs' motion), we investigate the link between these variables and unified Parkinson's disease rating scale (UPDRS) scores. Our investigation relies on the use of a few body-worn wireless inertial nodes and represents a first step in the design of a portable system, amenable to be integrated in Internet of Things (IoT) scenarios, for automatic detection of the degree of severity (in terms of UPDRS score) of PD. The experimental investigation is carried out considering 24 PD patients.