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诱发电位是继脑电图和神经肌电图之后临床神经生理学的第三大进展.目前,诱发电位诊断一般由具有这方面经验的医生担负,人工诊断过程有如下的不足之处:1.标识各特征值较费时;2.正常值实际上是一个受多种因素影响的模糊值,这个值选择过大将增大漏诊率;选择过小,将增大误诊率;3.医生们很难写出一个规范的诊断报告;4.医生对积累的资料进行总结和应用比较费时.人工智能是目前一项引人注目的研究学科,它的许多研究成果已在专家系统领域中获得很大的成功,用专家系统信号模式识别的方法研究诱发电位诊断技术具有下列优点;1.可实
Evoked potentials are the third largest development in clinical neurophysiology following electroencephalography and electromyography.At present, the diagnosis of evoked potentials is usually carried by doctors who have experience in this field, and the manual diagnosis process has the following deficiencies: 1. Identification 2. The normal value is actually a fuzzy value affected by many factors, this value is too large will increase the missed diagnosis rate; the choice is too small, will increase the misdiagnosis rate; 3. The doctors are hard to write Out of a standardized diagnostic report; 4 doctors summary of the accumulated data and the application more time-consuming.Artificial intelligence is currently a compelling research subject, many of its research results have been in the field of expert system has been a great success , With expert system signal pattern recognition method of evoked potential diagnosis has the following advantages; 1 can be