在非侵入式检测中改进了DWT,用于否定心跳信号
Peibin Zhu1, Lei Feng1, Kaimin Yu2
1School of Ocean Information Engineering, Jimei University, Xiamen 361021, China.
Sensors (Basel, Switzerland)
|April 28, 2025
概括
这项研究引入了一种增强的离散波形变换 (DWT) 来消除心电图 (ECG) 信号. 改进的DWT方法显著提高了非侵入性传感器的信号质量,有助于诊断心血管疾病.
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:
- 非侵入性心跳监测面临来自噪音干扰的挑战,影响信号准确性.
- 现有的无声化技术与现实世界生理信号中常见的复杂噪声类型作斗争.
研究的目的:
- 开发一种增强的离散波纹转换 (DWT) 方法,用于准确和实时的心跳信号消噪.
- 改进心电图 (ECG) 信号中的信号与噪声比 (SNR),这些信号被各种噪声源破坏.
- 通过改进的非侵入式传感,提高心血管疾病的诊断准确度.
主要方法:
- 实施了增强的DWT,包括客观的质量评估指标.
- 利用适应值和适应值功能来降低噪音.
- 测试了ECG信号与模拟和真实世界的噪声 (AWG,基线漫游,运动工件,肌肉工件) 的无声化.
主要成果:
- 与传统的DWT相比,增强的DWT在高斯白噪声方面实现了1-5dB的SNR改进.
- 对于现实世界的噪声,拟议的方法产生了SNR改进,比最先进的技术大几十倍到几百倍.
- 使用光纤微振传感器数据验证的有效性,显示出优越的无色化质量.
结论:
- 增强的DWT方法有效地拒绝来自非侵入性传感器的心跳信号.
- 这种方法显著提高了信号质量,为更准确的心血管疾病诊断铺平了道路.
- 拟议的技术为临床环境中的实时生理信号处理提供了强大的解决方案.
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