Meste Olivier, Blain Gregory, Bermon Stephane
Lab. I3S UNSA-CNRS, University of Nice-Sophia Antipolis, France.
Annu Int Conf IEEE Eng Med Biol Soc. 2009;2009:5-8. doi: 10.1109/IEMBS.2009.5332621.
It has been shown that a pedaling frequency component can be extracted from the heart rate variability (HRV) signal using a time-varying filter. It is shown that this filter can be implemented directly in the time-frequency plane with different approaches. The need of resampling the data is also discussed with regard to the artifacts produced when the shanon condition is not fulfilled. In order to interpret the similar amplitude profiles of the pedaling component for untrained and trained subjects, an attempt for the model parameters setting is proposed. Consistent results on a large data set illustrate the feasibility of such processing.
研究表明，使用时变滤波器可以从心率变异性（HRV）信号中提取蹬踏频率成分。结果表明，该滤波器可以通过不同方法直接在时频平面中实现。还讨论了在不满足香农条件时产生伪影的情况下对数据进行重采样的必要性。为了解释未经训练和训练有素的受试者蹬踏成分的相似幅度分布，提出了一种设置模型参数的方法。在大数据集上的一致结果说明了这种处理方法的可行性。
