Heart Rate Simulation with IPFM Model Considering Absolute Refractory Period and Demodulation of Original Generating Function

Yasuaki NOGUCHI  Takeo HAMADA  Fujihiko MATSUMOTO  Suguru SUGIMOTO  

Publication
IEICE TRANSACTIONS on Information and Systems   Vol.E81-D   No.8   pp.933-939
Publication Date: 1998/08/25
Online ISSN: 
DOI: 
Print ISSN: 0916-8532
Type of Manuscript: PAPER
Category: Medical Electronics and Medical Information
Keyword: 
IPFM model,  spectral analysis,  integral function method,  low-pass-filtering method,  absolute refractory period,  

Full Text: PDF(590.2KB)>>
Buy this Article




Summary: 
The Heart Rate Variability (HRV) analysis has become vigorous these days. One reason for this is that the HRV analysis investigates the dynamics of the autonomic nervous system activities which control the HRV. The Integral Pulse Frequency Modulation (IPFM) model is a pulse generating mechanism model in the nervous system, that is one of the models which connects the HRV to the autonomic nervous system activities. The IPFM model is a single frequency component model; however, the real HRV has multiple frequency components. Moreover, there are refractory periods after generating action potentials are initiated. Nevertheless, the IPFM model does not consider refractory periods. In order to make sure of the accuracy and the effectiveness of the integral function (IF) method applied to the real data, we consider the absolute refractory periods and two frequency components. In this investigation, the simulated HRV was made with a single and double frequency component using the IPFM model with and without absolute refractory periods. The original generating function of the IPFM model was demodulated by using the instantaneous heart rate tachogram. The power of the instantaneous pulse rate per minute was analyzed by the direct FFT method, the IF FFT method without the absolute refractory periods, and the IF FFT method with the absolute refractory periods. It was concluded that the IF FFT method can demodulate the original generating function accurately.