使用碎形维度对心律失常的分类
Ben Ali Sabrine1, Aguili Taoufik1
1Communication System Laboratory Sys'Com, National Engineering School of Tunis University Tunis El Manar, Tunisia.
The journal of Tehran Heart Center
|September 22, 2025
概括
碎形,以碎形维度为特征,可以模拟复杂的自然结构. 这项研究表明心电图 (ECG) 信号是碎形,使心跳分类用于心血管疾病诊断.
科学领域:
- 数学 数学 是一个数学.
- 生物医学工程 生物医学工程
- 信号处理 信号处理
背景情况:
- 分数提供了一个数学框架来建模复杂的自然现象.
- 碎形维度是分析碎形信号的关键特征.
- 了解信号复杂性对于医学诊断至关重要.
研究的目的:
- 定义碎形维度并探索其计算方法.
- 建立心电图 (ECG) 作为一个碎形信号.
- 开发用于心血管疾病诊断的ECG分析的数字技术.
主要方法:
- 分数维度的定义和计算.
- 使用碎形理论分析心电图 (ECG) 信号.
- 开发用于ECG的数字信号处理技术.
主要成果:
- 证明ECG信号表现出碎形属性.
- 成功地使用碎形理论对心跳进行分类.
- 验证碎形维度作为心电图分析中的重要特征.
结论:
- 电脑心电图信号具有碎形特征.
- 碎形分析为心跳分类提供了一种新的方法.
- 这种基于碎形的数字技术具有准确的心血管疾病诊断的潜力.
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