使用PPG传感器贴片精确估计心率,配备了新的预质量检查和脚分解算法
Smriti Thakur1, Paul C-P Chao1, Cheng-Han Tsai1
1Department of Electronics and Electrical Engineering, National Yang Ming Chiao Tung University, Hsinchu 300, Taiwan.
Sensors (Basel, Switzerland)
|July 14, 2023
概括
这项研究引入了一种新的方法,使用光聚缩学 (PPG) 和加速来准确估计心率,有效地去除行走和手部运动期间的运动器件.
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:
- 从可穿戴传感器准确估计心率对于健康监测至关重要.
- 运动器件显著降低了光电显微镜 (PPG) 信号的质量.
- 现有的方法在身体活动期间难以可靠地监测心率.
研究的目的:
- 开发一种可靠的方法,使用单一的PPG信号和加速来准确估计心率.
- 为了有效地减轻手动和行走引入的运动工件.
- 为了提高可穿戴心率监测设备的可靠性.
主要方法:
- 一种由两个子算法组成的方法:质量预先检查和移动工件删除 (MAR).
- 马尔使用汉克尔矩阵分解和奇点值分解 (SVD).
- 数据采集使用带有PPG和3轴加速度计传感器的可穿戴设备.
主要成果:
- 获得了0.7345±8.1129bpm的平均误差和1.86bpm的MAE的步行.
- 在行走过程中证明了单个PPG和3轴加速度计方法的第二高准确性.
- 在报告的研究中,在移动手的场景中获得了最佳准确度 (3.78 bpm MAE).
结论:
- 拟议的方法有效地去除了运动器件,从而能够准确地估计心率.
- 这种技术提高了可穿戴设备的可用性,用于持续监测心率.
- 这项研究在基于可穿戴设备的生理信号处理方面取得了重大进展.
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