Spasojević Sofija, Ilić Tihomir V, Stojković Ivan, Potkonjak Veljko, Rodić Aleksandar, Santos-Victor José
School of Electrical Engineering, University of Belgrade, Belgrade, Serbia.
Mihailo Pupin Institute, University of Belgrade, Belgrade, Serbia.
Front Neurol. 2017 Aug 11;8:388. doi: 10.3389/fneur.2017.00388. eCollection 2017.
We present an approach for quantitative assessment of the arm/hand movements in patients with Parkinson's disease (PD), from sensor data acquired with a wearable, wireless armband device (Myo sensor). We propose new that can be adopted by practitioners for the quantitative evaluation of motor performance and support their clinical evaluations. In addition, specific can indicate the presence of the bradykinesia symptom. The study includes seventeen PD patients and sixteen age-matched controls. A set of representative arm/hand movements is defined under the supervision of movement disorder specialist. In order to assist the evaluations, and for progress monitoring purposes, as well as for assessing the amount of bradykinesia in PD, a total set of 84 are computed from the sensor readings. Subsequently, we investigate whether wireless armband device, with the use of the proposed can be utilized: (1) for objective and precise quantitative evaluation of the arm/hand movements of Parkinson's patients, (2) for assessment of the bradykinesia motor symptom, and (3) as an adequate low-cost alternative for the sensor glove. We conducted extensive analysis of proposed and results are indicating following clinically relevant characteristics: (i) adequate reliability as measured by ICC; (ii) high accuracy in discrimination between the patients and controls, and between the disease stages (support to disease diagnosis and progress monitoring, respectively); (iii) substantial difference in comparison between the left-hand and the right-hand movements across controls and patients, as well as between disease stage groups; (iv) statistically significant correlation with clinical scales (tapping test and UPDRS-III Motor Score); and (v) quantitative evaluation of bradykinesia symptom. Results suggest that the proposed approach has a potential to be adopted by physicians, to afford them with quantitative, objective and precise methods and data during clinical evaluations and support the assessment of bradykinesia.
我们提出了一种方法，用于从可穿戴无线臂带设备（Myo传感器）获取的传感器数据中，对帕金森病（PD）患者的手臂/手部运动进行定量评估。我们提出了新的方法，可供从业者用于运动性能的定量评估，并支持他们的临床评估。此外，特定的方法可以指示运动迟缓症状的存在。该研究包括17名PD患者和16名年龄匹配的对照。在运动障碍专家的监督下定义了一组具有代表性的手臂/手部运动。为了辅助评估、进行进展监测以及评估PD中的运动迟缓程度，从传感器读数中计算出总共84个特征。随后，我们研究使用所提出的方法，无线臂带设备是否可用于：（1）对帕金森病患者的手臂/手部运动进行客观、精确的定量评估；（2）评估运动迟缓运动症状；（3）作为传感器手套的一种合适的低成本替代方案。我们对所提出的方法进行了广泛分析，结果表明了以下与临床相关的特征：（i）通过组内相关系数（ICC）测量具有足够的可靠性；（ii）在区分患者与对照以及疾病阶段方面具有高精度（分别支持疾病诊断和进展监测）；（iii）对照和患者的左手和右手运动之间以及疾病阶段组之间存在显著差异；（iv）与临床量表（敲击测试和统一帕金森病评定量表第三部分运动评分）具有统计学上的显著相关性；（v）对运动迟缓症状进行定量评估。结果表明，所提出的方法有可能被医生采用，在临床评估期间为他们提供定量、客观和精确的方法及数据，并支持对运动迟缓的评估。
