Two new methods to estimate the IPFM model

In this paper, I present two new methods to estimate the modulating function of IPFM Model. As we know the heart rate variability (HRV) is important to assessment the heart health or classify heart disorder [1]. And there were some methods the estimate the modulating function of IPFM (to model the heart rate variability) like using sink functions [2] or using of Fourier transform [3] or using of new functions like heart timing [4].but their precision is finite. It means their precision is limited to the number of Fourier statements or the number of sinks also the heart rate variability (HRV) and IPFM model is an extended tool to analyze the mechanisms controlling the cardiovascular system. In this paper, the integral pulse frequency modulation model (IPFM) is assumed.