Using fuzzy automata to diagnose and predict heart problems

Maria Azahara Camacho-Magrinan, Mercedes G. Merayo, M. Núñez
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引用次数: 5

Abstract

In this paper we introduce a formalism to specify the behavior of biological systems. Our formalism copes with uncertainty, via fuzzy logic constraints, an important characteristic of these systems. We present the formal syntax and semantics of our variant of fuzzy automata. The bulk of the paper is devoted to present an application of our formalism: a formal specification of the heart that can help to detect abnormal patterns of behavior. Specifically, our model analyzes the heartbeats per minute and the longitude of the RR waves of a patient. The model takes into account the age and gender of the patient, where age is considered to be a fuzzy parameter. Finally, we use real data to analyze the reliability of the model concerning the diagnosis and prediction of potential illnesses.
利用模糊自动机诊断和预测心脏问题
在本文中,我们引入了一种形式主义来指定生物系统的行为。我们的形式主义通过模糊逻辑约束来应对不确定性,这是这些系统的一个重要特征。给出了我们的模糊自动机变体的形式语法和语义。这篇论文的大部分都致力于展示我们的形式主义的一个应用:一种有助于检测异常行为模式的心的形式规范。具体来说,我们的模型分析了患者每分钟的心跳次数和RR波的经度。该模型考虑了患者的年龄和性别,其中年龄被认为是一个模糊参数。最后,我们用实际数据分析了模型在潜在疾病诊断和预测方面的可靠性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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