Zywietz C, van Bemmel J H, Degani R
Arbeitsbereich Biosignalverarbeitung, Medizinische Hochschule, Hannover, F.R.G.
Methods Inf Med. 1990 Sep;29(4):298-307.
Performance analysis of biosignal processing systems which provide diagnostic statements requires particular care. Besides general accuracy requirements, psychological and legal implications for patient and physician have to be considered on both the development and the user sites. Cybernetics and control engineering have provided the basic methodology for performance analysis of systems: in technical systems often mathematically defined functions and signals can be fed into the system to be tested and its response and output provide the necessary performance characteristics after adequate mathematical analysis. For systems which process biosignals, as for example ECG analysis systems, instead of analytically given signals learning and test sets of data derived from patients have to be applied. The performance analysis is done on a statistical basis. In this paper construction and composition of learning and test data sets as well as methods for performance evaluation of the signal processing part of ECG programs are described. Specific reference is made to the European project Common Standards for Quantitative Electrocardiography (CSE) where ten ECG- and nine VCG-programs have been tested. The results of these tests provide reference data and standards for further program development as well as for independent system performance evaluation.
对提供诊断报告的生物信号处理系统进行性能分析需要格外谨慎。除了一般的准确性要求外，在开发和使用环节都必须考虑对患者和医生的心理及法律影响。控制论和控制工程为系统性能分析提供了基本方法：在技术系统中，通常可以将数学定义的函数和信号输入到待测试系统中，经过适当的数学分析后，其响应和输出能提供必要的性能特征。对于处理生物信号的系统，例如心电图分析系统，必须应用从患者身上获取的学习数据集和测试数据集，而不是解析给定的信号。性能分析是基于统计进行的。本文描述了学习数据集和测试数据集的构建与组成，以及心电图程序信号处理部分的性能评估方法。特别提及了欧洲项目“定量心电图通用标准”（CSE），该项目对十个心电图程序和九个心向量图程序进行了测试。这些测试结果为进一步的程序开发以及独立系统性能评估提供了参考数据和标准。
