AUDITORY BRAINSTEM RESPONSE (ABR) ANALYSIS AND INTERPRETATION EXPERT SYSTEM

听觉脑干反应（ABR）分析和解释专家系统

• 批准号: 3874836
• 负责人: J M DELEO
• 金额: --
• 依托单位: CENTER FOR INFORMATION TECHNOLOGY
• 依托单位国家: 美国
• 资助国家: 美国
• 起止时间: 至
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/3874836
• 关键词: artificial intelligence; auditory stimulus; brain stem; computer assisted medical decision making; computer system design /evaluation; electrophysiology

The objective of this project has been to build an expert system to analyze and interpret the Auditory Brainstem Response (ABR), an electrophysiological response of the human brainstem to acoustic stimuli. Expert reading of the ABR is essential in clinical decisions concerning retrocochlear disorders. We developed a rule-based expert system that performs neurodiagnostic interpretation of the auditory brainstem response. The system was developed on the IBM PC with the commercial system shell GURU and has been operational in the NIH Audiology Clinic for over one year. ABR interpretation strategies differ considerably among various clinics. Our system is a tool for rapidly modelling any ABR interpretive paradigm. Paradigms are easily added, modified, deleted, and selectively engaged at run time. Paradigm rules are boolean logic expressions containing discrete, continuous, and fuzzy variables representing ABR, subject, and stimulus parameters. The system models human ABR expertise in explicit representational form, handles routine cases well, reduce diagnostic errors of omission, and facilitates understanding of ABR clinical decision making. It can be used as a methodology for testing and validating any ABR interpretative strategy, a repository for meaningful ABR interpretative expertise, and a medium for sharing ABR knowledge.

这个项目的目标是建立一个专家系统来分析 并解释听性脑干反应(ABR)，以及 人类脑干对声刺激的电生理反应。 对ABR的专家阅读在临床决策中是必不可少的 耳蜗后症。 我们开发了一个基于规则的专家系统，用于执行神经诊断 对听觉脑干反应的解释。这个系统是 在IBM PC上与商业系统外壳大师一起开发，并已 在美国国立卫生研究院听力诊所工作了一年多。 ABR解释策略在不同的临床中有很大的不同。 我们的系统是一个快速建模任何ABR解释范式的工具。 可以轻松地添加、修改、删除范例，并有选择地使用 运行时间。范例规则是包含以下内容的布尔逻辑表达式 离散、连续和模糊变量，表示ABR、主题和 刺激参数。该系统以显式方式模拟人类的ABR专业知识 表象形式，很好地处理常规病例，减少诊断错误 减少遗漏，有助于理解ABR临床决策。 它可以用作测试和验证任何ABR的方法 解释策略，有意义的ABR解释的储存库 专业知识，以及共享ABR知识的媒介。