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AUTOMATED ANALYSIS OF ELECTROMYOGRAPHY DATA

机译:眼电图数据的自动分析

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Background: Interpretation of nerve conduction studies (NCS) and electromyography (EMG) tests are intensive time-consuming processes (30 minutes per patient study). Goal: To create a computer program to automate this process including report generation. Methods: A computer program (called EMG and Nerve Conduction Analysis System, ENCAS) using Common Lisp programming language, Common Lisp Object System, object oriented-programming, text parsing algorithm, and clinical neurophysiology domain specific knowledge was written. This program was deployed in clinical practice and evaluated for time efficiency and test precision. Results: ENCAS reduced the time for EMG analysis from 30 minutes to 1 second and accuracy was 95%. Independent program verification has not been performed; automation of analysis improves accuracy over human analysis.
机译:背景:神经传导研究(NCS)和肌电图(EMG)测试的解释是耗时的过程(每个患者研究30分钟)。目标:创建一个计算机程序以自动执行此过程,包括生成报告。方法:编写了使用Common Lisp编程语言,Common Lisp对象系统,面向对象的程序设计,文本解析算法和临床神经生理学领域特定知识的计算机程序(称为EMG和神经传导分析系统,ENCAS)。该程序已在临床实践中部署,并评估了时间效率和测试精度。结果:ENCAS将EMG分析的时间从30分钟减少到1秒,准确度为95%。尚未执行独立程序验证;分析自动化比人工分析提高了准确性。

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