图 书 馆
基于模糊逻辑的偏瘫患者步态分类Fuzzy Logic Based Gait Classification for Hemiplegic Patients |
|
| 课程网址: | http://videolectures.net/ida07_yardimci_flbgc/ |
| 主讲教师: | Ahmet Yardimci |
| 开课单位: | 克德尼兹大学 |
| 开课时间: | 信息不详。欢迎您在右侧留言补充。 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | In this study a fuzzy logic classification system was used first to discriminate healthy subjects from patients rather than classifying those using Brunnstrom stages. Decision making was performed in two stages: feature extraction of gait signals and the fuzzy logic classification system which is used Tsukamato-type inference method. According to our signal feature extraction studies, we focused on temporal events and symetrical features of gait signal. Developed system has six inputs while four of them for temporal features evaluation rule block and two of them symmetrical features evaluation rule block. Our simulation test results showed that proposed system classify correctly 100% of subjects as patient and healthy elderly. The correlation coefficient was found 0.85 for classification to subjects to correct Brunnstrom stages. The results show that classifying patients becomes increasingly difficult linearly according to hemiplegia’s severity. |
| 关 键 词: | 模糊逻辑分类系统; 特征提取; 步态信号对称特征 |
| 课程来源: | 视频讲座网 |
| 最后编审: | 2019-11-18：cwx |
| 阅读次数: | 38 |