摘要
运动功能和眼动是神经系统功能的重要体现，神经功能受损可反映神经控制环路的破坏，在特定疾病状态下，早期识别神经功能受损对疾病诊断、疾病进展预测及预后判断具有重要意义。在神经系统评估方面，数字技术评估方法克服了传统评估方法的缺点，使神经系统运动功能评估取得了里程碑式进步。相较于临床量表，数字技术可以去除主观因素的影响，并将运动过程定量化，从多空间、多维度、多时相捕捉运动特征，为研究特定疾病背景下的特定运动特征提供新技术手段。目前多种数字技术已经被应用于定量神经功能评定，此类技术包括传感器技术和视频技术，可以捕捉运动的细微之处。检测眼部运动的此类技术包括眼电图技术和眼球追踪技术，可以精确追踪眼球活动，量化眼球运动，使临床可以精确、快捷地观察眼部运动。这些技术加深了对神经系统疾病运动特征的传统认知并捕捉到了新的运动特征。本文列举了运动和眼动定量数字评估技术在神经系统疾病诊断方面的应用及其量化的细节和得到的结论。
Abstract
Motor functions and eye movements are essential manifestations of the nervous system function, and their impairment can reflect damage to neural control circuits. The early detection of neurological disorders is of great significance for disease diagnosis and prediction of disease progression and prognosis. The development of digital technology has overcome the shortcomings of traditional assessment of neurological-related motor function, which can be called a milestone progression. Digital technology provides new technic for evaluation of motion characteristics in certain diseases. Compared to the clinical scale, digital technic can eliminate the subjective factors and capture quantized motion features at multi-space, multi-dimension, and multi-time phases. Multiple technologies have already been used in quantitative neurological assessment, including sensor technology and video technology, which can capture the subtleties of body movements; electro-oculogram technology and eye-tracking technology, which can capture quantized eye movements. These technologies deepen the traditional understanding of the motor features of neurological diseases and capture new motor features.
基金项目
国家自然科学青年基金(81901224)
202北京协和医院中央高水平医院临床科研专项项目(2022-PUMCH-A-256)
万方数据