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癫痫脑电信号自动识别中若干方法学研究
Methodology Study on Automatic Recognition of Epileptiform Activity in EEG
【摘要】 利用微机技术对临床癫痫脑电信号自动识别方法进行了研究,结果表明,微机与人工对癫痫脑电信号自动识别的符合率达到90.38%±5.38%,并分析了癫痫脑电信号自动识别中若干方法学问题。提示微机自动识别癫痫脑电信号的方法高效、实用。
【Abstract】 This paper describes a new epileptiform activity automatic detection system in the EEG. The results showed that epileptiform activity detection ratio is 90. 38% ±5. 38%, the methodology questions during automtic recognition of epileptiform were analynd. The results also manipested the applicable effective automatic method of microcomputer in recognitim of cerebrel epileptic signal.
【关键词】 癫痫;
脑电图;
计算机;
自动识别;
【Key words】 Epilepsy; Electroencephalography; Computer; Automatic recognition;
【Key words】 Epilepsy; Electroencephalography; Computer; Automatic recognition;
【基金】 湖北省科委重点资助
- 【文献出处】 医学新知杂志 ,JOURNAL OF NEW MEDICINE , 编辑部邮箱 ,1999年01期
- 【分类号】R742.1
- 【被引频次】2
- 【下载频次】32