DATASET: Characterization of static and kinetic motor task of forearm and hand in healthy individuals

This database resulted from: ZARUZ, Maria Jose Ferreira. Caracterização de tarefa motora estática e cinética de antebraço e mão em indivíduos hígidos. 2016. 80 f. Dissertação (Mestrado em Ciências) - Universidade Federal de Uberlândia, Uberlândia, 2017. Disponível em: http://doi.org/10.14393/ufu.di.2016.592 There are numerous scales in literature to characterize the degree of severity of neuromotor diseases. Among them, we can mention the Unified Parkinson Disease Rating Scale (UPDRS), which is widely used in the clinical practice. The main limitation of scales such as the UPDRS is the subjectivity of evaluation based on the experience of examiners. In this context, the use of objective scales is of great relevance in the process of assessing and monitoring the evolution of neuromotor diseases. In order to contribute to the objective assessment of wrist and forearm static and kinetic motor tasks, this research proposed an index that characterizes normality patterns for healthy individuals. In total, 99 neurologically healthy subjects participated in the study. Inertial and electromyographic signals of the forearm and wrist were detected during the execution of the following tasks: pinch grip, pronation and supination of the forearm, and support of the upper limb against gravity. For visualization and processing of the data, a set of features was estimated and projected onto a two-dimensional space using the T-Distributed Stochastic Neighbor Embedding (t-SNE) method. A normality index was proposed based on the normalized Euclidean distance of the data referring to each type of task. To exemplify the practical application of the proposed index, data were collected from individuals with Parkinson's disease, which is a neurodegenerative illness, very prevalent nowadays. Its clinical symptoms includes tremor, bradykinesia, stiffness and postural disorders, compromising the movements of the upper limb such as forearm and wrist. The estimated values for the index indicated atypical patterns for these individuals when compared to normality patterns. We hope that the proposed index can be used to assess the severity of neuromotor diseases, such as the Parkinson's disease.本数据集源自以下研究：ZARUZ, Maria Jose Ferreira. 《健康个体前臂与手部静态及动力性运动任务特征分析》. 2016. 共80页. 科学硕士学位论文. 乌贝兰迪亚联邦大学, 乌贝兰迪亚, 2017年. 可获取地址：http://doi.org/10.14393/ufu.di.2016.592。 文献中存在诸多用于量化神经运动疾病严重程度的评估量表，其中以广泛应用于临床实践的统一帕金森病评定量表（Unified Parkinson Disease Rating Scale, UPDRS）最为典型。此类量表的核心局限在于，其评估结果依赖检查者的临床经验，存在较强主观性。在此背景下，采用客观评估工具对于神经运动疾病的病情评估与病程监测具有重要意义。 为助力腕部与前臂静态及动力性运动任务的客观评估，本研究提出了一项用于表征健康个体运动模式正态性的指标。本研究共招募99名神经系统健康受试者参与实验。实验过程中，采集了受试者完成以下任务时的前臂与腕部惯性信号及肌电信号：捏握、前臂旋前与旋后，以及上肢对抗重力支撑。为实现数据的可视化与处理，研究人员提取了一系列特征，并通过t分布邻域嵌入（T-Distributed Stochastic Neighbor Embedding, t-SNE）方法将特征投影至二维空间。本研究基于各类任务数据的归一化欧氏距离，提出了对应的正态性指数。 为展示该指标的实际应用价值，研究团队同时采集了帕金森病患者的数据。帕金森病是一种当前发病率极高的神经退行性疾病，其临床症状包括震颤、运动迟缓、肌强直及姿势障碍，会累及前臂与腕部等上肢运动功能。相较于健康个体的正态运动模式，帕金森病患者的该指数计算结果呈现出非典型的异常模式。 本研究期望所提出的正态性指数可应用于帕金森病等神经运动疾病的病情严重程度评估。