• Wollner Materko Biomedical Engineering Program (PEB), COPPE Institute, Universidade Federal do Rio de Janeiro, Rio de Janeiro, RJ, Brazil
  • Rhenan Bartels Biomedical Engineering Program (PEB), COPPE Institute, Universidade Federal do Rio de Janeiro, Rio de Janeiro, RJ, Brazil
  • Gabriel Casulari Motta-Ribeiro Biomedical Engineering Program (PEB), COPPE Institute, Universidade Federal do Rio de Janeiro, Rio de Janeiro, RJ, Brazil
  • Agnaldo José Lopes Rehabilitation Sciences Post-Graduation Program, University Center Augusto Motta, RJ, Brazil. cUniversitary Hospital Pedro Ernesto, Universidade do Estado do Rio de Janeiro, RJ, Brazil
  • Jurandir Nadal Biomedical Engineering Program (PEB), COPPE Institute, Universidade Federal do Rio de Janeiro, Rio de Janeiro, RJ, Brazil
  • Alysson Roncally SilvaCarvalho Laboratory of Respiration Physiology, Carlos Chagas Filho InstituteofBiophysics, Universidade Federal do Riode Janeiro, Rio de Janeiro, Brazil



Heart Rate Variability, Spectral Analysis, Respiratory, Chronic Obstructive Pulmonary Disease, Breathing


Motivation/Background: Cardiorespiratory interaction is known to cause a peak in the heart rate variability (HRV) spectrum, characterized as sinus arrhythmia. This study evaluates standard indexes of HRV spectral analysis with and without the influence of respiratory signal in elderly subjects with chronic obstructive pulmonary disease (COPD, N=14) and healthy lungs (N=14). In the last, all subjects controlled their breathing at 0.1 Hz (CGL) and breathed freely (CG). Method: Anthropometrical characteristics were similar, with increased heart rate in COPD (75±11.1 vs. 62±8.3 bpm). Cardiac and respiratory signals in supine position were recorded with a portable data acquisition system during 5 min and processed in frequency domain. To remove the influence of the respiration in HRV, a 2th order Butterworth band-stop filter, was applied to the RRi signal. Results: In CGL main respiratory frequency was significantly lower (ANOVA with post-hoc Turkey's test, α = 0.05) and with the influence of respiratory signal differed from without the influence of respiratory signal to HRV spectral analysis (Student t-test, α = 0.05) with increased low frequency contribution (51.0±11.4 vs. 42.0±11.6, respectively). PG and CG showed no significant differences in with or without influence of respiratory signal to HRV spectral analysis. Conclusions: The results of the present study have showed a low frequency respiration at 0.1 Hz provided an increase in low frequency and decrease in high frequency power spectral analysis, showing an error in the HRV analysis.


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How to Cite

Materko, W., Bartels, R., Motta-Ribeiro, G. C., Lopes, A. J., Nadal, J., & SilvaCarvalho, A. R. (2018). INFLUENCE OF THE RESPIRATORY SIGNAL IN HEART RATE VARIABILITY ANALYSIS IN THE RESPIRATORY PATTERN IN HEALTHY ELDERLY AND WITH COPD . International Journal of Engineering Technologies and Management Research, 5(10), 1–8.