语言障碍诊治仪ZM2.1的诊断设计

目的 利用计算机的语音识别技术、智能模糊信息处理技术、多媒体技术等，设计语言障碍诊治仪ZM2．1。方法 设计基于计算机智能运算的语言障碍诊治仪ZM2．1诊断筛选题，共65题，通过患者对诊断筛选题的回答，计算机分析患者对听觉和视觉输入的理解，患者语音和手动触摸的反馈表达，利用宏观功能模块Bayes运算分离出19种语言障碍的类型，并计算每个被试与标准模型的比较，显示出符合率。结论 该诊断筛选流程是基于计算机智能诊断技术的临床应用，是汉语语言障碍的诊治与计算机、心理学、语言学的交叉结合的结果，有较大的应用前景。

Design of the Apparatus ZM2.1 for Diagnosis and Treatment of Speech Disorders

Objective To design a appratus for diagnosing and treating speech disorders. Methods Based on the recognition techniques of voice as well as fuzzy mathematics and multimedia technique, the Apparatus ZM2.1 for Diagnosis and Treatment of Speech Disorders was designed. The screening questionnaire presented by the Apparatus ZM2.1 includes 65 items and was used in clinical practice. Results The appratus can help identify 19 kinds of speech disorders and automatically calculate the rate of identification. The Apparatus ZM2.1 was a result by integrative use of the theories and techniques of, medicine, computer, psychology and Chinese lingustics. Good effect was obtained in clinic application. Conclusion The appratus we designed is a valuable addition to the pool of tools currently available for diagnosis and treatment of speech disorders.