Time-Frequency Analysis of Vascular Dementia EEG Signals using Generalized S-transform

摘要：

Vascular Dementia (VaD) can affect attention, memory and other cognitive function. For maximum benefits from new treatments, VaD should be diagnosed early. Electroencephalogram (EEG) give information about brain status and activity, so it is potential to use EEG-based method to improve early diagnose. In order to explore the brain activities in Vascular Dementia (VaD), S-transform, a time-frequency representation/distribution method and generalized S-transform are used to analyze EEG signals of VaD patients and normal elderly. EEG signals of VaD patients and normal elderly are collected. The results show EEG signals of VaD patients and normal elderly have different time-frequency presentation, probably reflects features of VaD.

作者: Hengsong Sheng Jin Xu Chongxun Zheng

作者单位: The Key Laboratory of Biomedical Information Engineering of Ministry of Education Xi’an Jiaotong University Xi’an 710049, China

会议类型: 国际会议

会议名称: The 4th International Conference on Bioinformatics and Biomedical Engineering(第四届IEEE生物信息与生物医学工程国际会议 iCBBE 2010)

会议地点: 成都

会议语种:英文

页码: 1-4

在线出版日期: 2010-06-18（万方平台首次上网日期，不代表论文的发表时间）