Addison Paul S, Foo David M H, Jacquel Dominique
Annu Int Conf IEEE Eng Med Biol Soc. 2017 Jul;2017:734-737. doi: 10.1109/EMBC.2017.8036929.
The extraction of heart rate from a video-based biosignal during motion using a novel wavelet-based ensemble averaging method is described. Running Wavelet Archetyping (RWA) allows for the enhanced extraction of pulse information from the time-frequency representation, from which a video-based heart rate (HRvid) can be derived. This compares favorably to a reference heart rate derived from a pulse oximeter.
本文描述了一种使用基于小波的新型总体平均方法，在运动过程中从基于视频的生物信号中提取心率的方法。运行小波原型分析（RWA）能够从时频表示中增强脉搏信息的提取，由此可以得出基于视频的心率（HRvid）。这与通过脉搏血氧仪得出的参考心率相比具有优势。
