Detection of Freezing of Gait Using Template-Matching-Based Approaches
Detection of Freezing of Gait Using Template-Matching-Based Approaches
复制标题
使用基于模板匹配的方法检测冻结步态
DOI：
10.1155/2017/1260734
复制
发表时间：
2017-01-01
影响因子：
1.9
通讯作者：
Duan, Shihong
中科院分区：
文献类型：
--
作者：
Xu, Cheng;He, Jie;Duan, Shihong
Every year, injuries associated with fall incidences cause lots of human suffering and assets loss for Parkinson's disease (PD) patients. Thereinto, freezing of gait (FOG), which is one of the most common symptoms of PD, is quite responsible for most incidents. Although lots of researches have been done on characterized analysis and detection methods of FOG, large room for improvement still exists in the high accuracy and high efficiency examination of FOG. In view of the above requirements, this paper presents a template-matching-based improved subsequence Dynamic Time Warping (IsDTW) method, and experimental tests were carried out on typical open source datasets. Results show that, compared with traditional template-matching and statistical learning methods, proposed IsDTW not only embodies higher experimental accuracy (92%) but also has a significant runtime efficiency. By contrast, IsDTW is far more available in real-time practice applications.
