穿戴式压电设备的生命信号信号噪声抑制方法
Yi Xin1, Hongyan Liu1, Tianyuan Hou1
1Jilin University, Changchun 130061, China.
The Review of scientific instruments
|September 11, 2023
概括
这项研究引入了一种先进的噪音抑制技术,用于使用可穿戴传感器监测生命体征. 该方法有效地提高了信号质量,改善了信号与噪声比 (SNR) 以更好的医疗诊断.
科学领域:
- 生物医学工程 生物医学工程
- 信号处理 信号处理
- 可穿戴技术可穿戴技术
背景情况:
- 可穿戴的压电聚合物传感器为生理信号监测提供了优势.
- 这些设备往往遭受大量噪音,降低信号质量.
- 低信号噪声比 (SNR) 阻碍了精确的生命体征监测.
研究的目的:
- 开发一种有效的噪声抑制方法,用于生命信号.
- 改善生理监测中的信号噪声比 (SNR).
- 为了提高可穿戴医疗监控设备的准确性.
主要方法:
- 提出了一种新的噪声抑制技术,结合波纹值和经验模式分解 (EMD).
- 使用单数值分解 (SVD) 来从EMD中选内在模式函数 (IMF) 组件.
- 应用了混合硬和软波段值方法来降低噪音.
主要成果:
- 提出的方法有效地消除了生理信号中的细节噪声.
- 在信号与噪声比率 (SNR) 中显著改善.
- 通过模拟和测量实验数据验证了有效性.
结论:
- 开发的算法有效地提高了生理信号质量.
- 改进的SNR支持对可靠辅助医学诊断的需求.
- 该方法对未来在可穿戴健康监测中的应用有希望.
相关概念视频
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