教授 博士生导师 硕士生导师
性别: 男
毕业院校: 北京航空航天大学
学位: 博士
所在单位: 信息与通信工程学院
学科: 通信与信息系统. 信号与信息处理. 电路与系统
办公地点: 创新园大厦A520
联系方式: Tel: 86-0411-84707719 实验室网址: http://wican.dlut.edu.cn
电子邮箱: mljin@dlut.edu.cn
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论文类型: 会议论文
发表时间: 2015-09-22
收录刊物: EI、CPCI-S、Scopus
页面范围: 101-104
关键字: benign paroxysmal positional vertigo; Nystagmus torsion angles; Videonystagmograph polar diagram; Average slow phase velocity
摘要: The nystagmus caused by the anterior, posterior or multiple semicircular canals benign positional paroxysmal vertigo (BPPV) is usually very complex accompanied with rotation characteristics. However, most of the conventional features can only describe the horizontal and vertical eye movements. The objective of this study is to propose a new feature of the nystagmus to evaluate the rotary of eye movements and position the affected semicircular canals of BPPV. Our study included 50 patients. Firstly, using the image processing techniques, we compiled a program to extract the new feature: nystagmus torsion angle and also some conventional features from the Videonystagmograph (VNG) to evaluate rotary and horizontal eye movements separately. These extracted features were further used to diagnose the position of the affected semicircular canals. Posterior semicircular canal BPPV (P-BPPV) were involved in 32 patients (64%), whereas the anterior semicircular canal BPPV (A-BPPV) and horizontal semicircular canal (H-BPPV) were involved in 2 (4%) and 14 (28%), respectively. Two patients (4%) had the Multiple-canal BPPV (M-BPPV). The result of the diagnoses shows that this proposed method can diagnose the BPPV accurately. Clinically, this new method may be used to provide helpful guidelines for physicians' objective diagnosis.