使用改进的混合DWT-ADTF方法进行ECG信号否定.
Wissam Jenkal1, Rachid Latif2, Mostafa Laaboubi2
1Laboratory of Systems Engineering and Information Technology (LiSTi), National School of Applied Sciences ENSA, Ibn Zohr University, Agadir, Morocco. w.jenkal@uiz.ac.ma.
Cardiovascular engineering and technology
|November 20, 2023
概括
本研究介绍了一种使用DWT和ADTF的改进的混合电图消噪方法,在降噪和效率方面表现优于现有技术. 增强方法适用于低成本的硬件应用.
科学领域:
- 生物医学工程 生物医学工程
- 信号处理 信号处理
背景情况:
- 电心电图 (ECG) 信号对于诊断心脏病至关重要.
- 由于其低频特征,心电图信号容易受到噪声的影响.
研究的目的:
- 提出一种改进的混合型心电图信号否定方法.
- 为了提高心电图信号质量,以便更准确地诊断心脏病状况.
主要方法:
- 开发了一种混合无色化方法,该方法结合了离散波形变换 (DWT) 和自适应无色化过技术 (ADTF).
- 将一个适应参数集成到ADTF中,使用软值与DWT,并使用平均波器来消除基线流浪.
- 整合了新的噪声测试措施,并使用来自噪声应激测试数据库 (NSTDB) 的真实和合成噪声来评估性能.
主要成果:
- 与现有方法相比,拟议的方法在信号与噪声比率 (SN Rimp) 改进,最小扭曲 (PRD,MSE) 和诊断扭曲 (SINAD) 方面表现优越.
- 在各种真实和合成噪声场景中,与不同的信号对噪声比 (SNR) 水平实现了有希望的结果.
- 显示了比较较低的时间复杂性,而不是与之相比的denoising方法.
结论:
- 改进的混合ECG无声化方法为真实和合成噪音提供了卓越的统计结果.
- 该方法具有有利的时间复杂性,使其适合集成到低成本硬件中.
- 这一进步有助于更可靠,更有效的基于心电图的心脏诊断.
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