Atenuación de rizado en la densidad espectral de potencia calculada en una señal de ritmo cardiaco

Abstract

The analysis of heart rate variability is based on the study of changes detected in each cardiac cycle. These changes have been studied  from  the  cardiac  rhythm  signal  and  it  is  composed  of  data  acquired  from  the  time  measured  between  the  R  waves  of  electrocardiographic signal. The cardiac rhythm signal analysis is based on two kinds of methods: statistical calculation (time domain) and the  power  spectrum  density  estimation  (frequency  domain).  Power  spectrum  density  (PSD)  estimation  from  cardiac  rhythm  signal,  can  be  done through math methods for signals with non-regular sampling time. For this case, in the literature has been registered the use of Lomb method.  The  main  goal  of  this  paper  is  the  presentation  of  results  obtained  from  the  implementation  of  a  technical  based  on  spectrum averaging oriented to ripple decrease of the PSD estimation in cardiac signal rhythm. The final procedure is based on the application of the same  technique  taking  cardiac  rhythm  signals  acquired  from  normal  sinus  rhythm  database  “Physionet”.  The  results  obtained  from  these  experiments showed a decrease of ripple in the PSD and variation of parameters in the frequency domain.