Automatic spike detection based on real-time multi-channel template
Automatic EEG spike detection provide valuable information for diagnosis of epilepsy. In the past 30 years, a number of algorithms were proposed. However, the basic idea of most algorithms is to identify spike activities. We have developed an algorithm based on identify non-spike activities for off-line analysis. In this paper, we improved the algorithm for online application using real-time template. Template method is a typical spike detection method. It was not widely employed because of the difficulty of making template. Our results suggested that multichannel template is meaningful and effective for real-time detection. Spike activities can be detected with a delay of about 2 s. We also designed an simple user-friendly monitor interface for monitor and review spike events in real-time.
spike detection real-time multi-channel template
Zhanfeng Ji Xingyu Wang Takenao Sugi Satoru Goto Masatoshi Nakamura
Key Laboratory of Advanced Control and Optimization for Chemical Processes, Ministry of Education Sc Key Laboratory of Advanced Control and Optimization for Chemical Processes, Ministry of Education Sc Department of Advanced Systems Control Engineering Saga University Saga, Japan
国际会议
上海
英文
646-650
2011-10-15（万方平台首次上网日期，不代表论文的发表时间）