基于步态分析的帕金森病辅助诊断方法综述  

Survey of Parkinson’s disease auxiliary diagnosis methods based on gait analysis

作　　者：秦静[1] 马雪倩 高福杰 季长清[2,3] 汪祖民[2] QIN Jing;MA Xueqian;GAO Fujie;JI Changqing;WANG Zumin(School of Software Engineering,Dalian University,Dalian Liaoning 116622,China;College of Information Engineering,Dalian University,Dalian Liaoning 116622,China;College of Physical Science and Technology,Dalian University,Dalian Liaoning 116622,China)

机构地区：[1]大连大学软件工程学院,辽宁大连116622 [2]大连大学信息工程学院,辽宁大连116622 [3]大连大学物理科学与技术学院,辽宁大连116622

出　　处：《计算机应用》2023年第6期1687-1695,共9页journal of Computer Applications

基　　金：国家自然科学基金资助项目(62002038)。

摘　　要：针对现有的帕金森病(PD)的诊断方法,对基于步态分析的PD的辅助诊断方法进行了综述。在临床上,常见的步态评估PD的诊断方法是基于量表的,该方法虽然简单方便,但主观性强,且对医生的临床经验要求较高。而计算机技术的发展为步态分析提供了更多的方法。首先,总结了PD以及它在步态上的异常表现。然后,回顾了基于步态分析的PD辅助诊断的常用方法,这些方法大致可分为基于可穿戴设备的和基于非可穿戴设备的:可穿戴设备体积小、辅助诊断准确率高,可长时间监测患者的步态状况;非可穿戴设备则是通过微软Kinect等视频传感器捕捉人体步态数据,避免了穿戴相关设备以及对患者行动的限制。最后,指出了现有的步态分析方法中存在的不足并探讨了未来可能的发展趋势。Focused on the existing diagnosis methods of Parkinson􀆳s Disease(PD),the auxiliary diagnosis methods of PD based on gait analysis was reviewed.In clinical practice,the common diagnosis method of gait assessment for PD is based on scales,which is simple and convenient,but is highly subjective and requires well-experienced clinical doctors.With the development of computer technology,more methods of gait analysis are provided.Firstly,PD and its abnormal manifestations in gait were summarized.Then,the common methods of auxiliary diagnosis for PD based on gait analysis were reviewed.These methods were able to be roughly divided into two types:methods based on wearable or non-wearable devices.Wearable devices are small and have high accuracy for diagnosis,and with the use of them,the gait status of patients can be monitored for a long time.With the use of non-wearable devices,human gait data is captured through video sensors such as Microsoft Kinect,without wearing related devices and restricting patients􀆳movements.Finally,the deficiencies in the existing gait analysis methods were pointed out,and the possible development trends in the future were discussed.

关 键 词：帕金森病 步态分析 可穿戴设备 深度学习 辅助诊断 

分 类 号：TP391.7[自动化与计算机技术—计算机应用技术]