从可穿戴设备的低频PPG信号中对高分辨率即时频率进行加权代复杂解调
IEEE journal of biomedical and health informatics
|April 15, 2025
概括
一个新的加权代时间频复合解调 (wi-TFCD) 算法改善了生理信号的噪声抑制和分辨率. 这种先进的方法在可穿戴健康应用中提供了卓越的性能.
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:
- 低频生理信号对于健康监测至关重要,但经常被噪音和运动工件破坏.
- 现有的信号处理方法,如STFT,VFCDM和i-TFCD在噪声抑制和时间频率分辨率方面存在局限性.
- 对生理信号的准确分析对于可靠的健康诊断至关重要,特别是在门诊环境中.
研究的目的:
- 开发和验证一个先进的信号处理算法,加权的代时间频复合解调 (wi-TFCD).
- 为了增强噪声抑制和改善低频生理信号的时间频率分辨率.
- 用合成和现实世界的数据来评估wi-TFCD与传统方法的性能.
主要方法:
- 开发加权代时频复合解调 (wi-TFCD) 算法.
- 使用合成声信号与添加高斯白噪声进行评估.
- 使用现实世界的光电显微镜 (PPG) 来验证55个受试者在运动期间的信号.
- 与短时间里叶变换 (STFT),可变频率复合解调 (VFCDM) 和代TFCD (i-TFCD) 的比较.
主要成果:
- wi-TFCD表现出卓越的性能,实现较低的Renyi和更高的Stankovic度,表明光谱清晰度有所改善.
- 对于状声信号,wi-TFCD显示了与VFCDM和i-TFCD相比,Renyi,Stankovic度和平均平方误差 (MSE) 的显著改善.
- 在基于PPG的心率 (HR) 估计中,wi-TFCD与i-TFCD (5.19 bpm) 和VFCDM (5.42 bpm) 相比,实现了较低的平均绝对误差 (MAE) 4.99 bpm.
结论:
- wi-TFCD算法为生理信号提供了增强的噪声抑制和时间频率分辨率.
- wi-TFCD提供了更精确的信号表示和强大的生理监测能力.
- 这种先进的算法是可穿戴健康应用的有希望的工具,特别是在运动工件和噪音普遍存在的环境中.
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