Holter monitoring of ECG: methods of evaluation of daily changes of heart rate variability spectral

1
Holter monitoring of ECG methods of evaluation
of daily changes of heart rate variability
spectral parameters

• Melezhik Y. P., Yabluchansky N. I.
• Faculty of fundamental medicine
• Karazin Kharkov National University

2
Aim of the work

• To study the features of daily changes of heart
  rate variability spectral domain measures in
  healthy subjects, evaluate the informational
  value of mean day and night parameters.

3
Study group

• 4 healthy men 37,6 8,8 years of age
• Antropometric measure of the subjects under study
  are presented in the table

4
Method

• 24-hours registration of ECG was carried out
  using a Holter recorder CardioSens
  (Xai-Medica) during the period of 19-23 of
  November, 2002. Registration of ECG was performed
  in the modified ?M-5, CS-1 and CS-3 leads with
  consequent mathematical proceeding.
• The day before recording and during the recording
  the subjects were not exposed to expressed
  physical and emotional loadings, did not take
  alcohol and drugs
• During the ECG registration the subjects were
  kept the record of their daily activities

5
Analyzing HRV parameters

• The parameters analyzed were spectral domain
  measures of HRV (table), that were estimated on
  the basis of consecutive spectral analysis of
  5-min ECG and the same parameters estimated on
  the basis of the entire 24-hour period, night (10
  p.m. 7 a.m.) and day (10 p.m. 7 a.m.) periods.

6
Daily changes of spectral domain HRV variables
7
Mean values of spectral domain HRV values
estimated on the basis of 24-hour, night and day
period ECG data
8
Daily changes of LF/HF index
9
Mean values of LF/HF index estimated on the
basis of 24-hour, night and day period ECG data
10
Discussion and conclusion

• Holter monitoring is an inalienable part of the
  complex of diagnostic procedures in the present
  day cardiology. Among the parameters being
  evaluated on the basis of the 24-hour ECG
  recording, the spectral HRV measure are very
  important for the treatment tactics and
  prognosis.
• Most commercial Holter monitors allow estimating
  mean values of spectral power of HRV in four
  spectral domains ultra low frequency (lt 0,003
  Hz), very low frequency (0,04 0,003 Hz), low
  frequency (0,15 0,04 Hz), high frequency (0,4
  0,15 Hz). Such averages obscure detailed
  information about autonomic modulations of RR
  intervals available in shorter recording.
• Taking into account a wide variability showing by
  VLF , LF and HF values over the 24-hour period,
  it seems reasonable to amplify the routine
  analysis of 24-hour ECG recording with graphs
  showing changes of HRV domain parameters
  estimated on the basis of consecutive spectral
  analysis of 5-min ECG fragments.