MATLAB SOFTWARE FOR DETRENDED FLUCTUATION ANALYSIS OF HEART RATE VARIABILITY

Fernanda S. Leite, Adson F. da Rocha, João L. A. Carvalho

2010

Abstract

The analysis of heart rate variability (HRV) is an important tool for the assessment of the autonomic regulation of circulatory function. HRV analysis is usually performed using methods that are based on the assumption that the signal is stationary within the experiment duration, which is generally not true for long-duration signals (e.g., 24-hour Holter) or signals acquired during stress tests. This paper presents a Matlab tool for detrended fluctuation analysis (DFA) of HRV signals. DFA is applicable in the context of nonstationary signals, since it involves removing fluctuation trends from the signal. The software is validated using simulated signals with different power-law characteristics, and then demonstrated using real HRV signals, obtained from three groups of subjects: healthy volunteers, individuals with Chagas disease, and individuals with mild to moderate hypertension.

References

  1. Anderson, S. (1992). Advanced Electrocardiography (Biophysical Measurement Series). Spacelabs Medical, Inc., Redmond, WA.
  2. Carvalho, J. L. A., da Rocha, A. F., Junqueira Jr, L. F., Souza Neto, J., Santos, I., and Nascimento, F. A. O. (2003). A tool for time-frequency analysis of heart rate variability. In EMBC'03, 25th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, volume 3, pages 2574- 2577.
  3. Carvalho, J. L. A., da Rocha, A. F., Nascimento, F. A. O., Souza Neto, J., and Junqueira Jr, L. F. (2002). Development of a Matlab software for analysis of heart rate variability. In ICSP'02, 6th International Conference on Signal Processing, volume 2, pages 1488-1491.
  4. Correia Filho, D. (2000). Avaliac¸a˜o Clínico-Funcional, Bioquímica e Imunológica do Sistema Nervoso Autoˆnomo em Residentes em Írea Endeˆmica da Doenc¸a de Chagas. PhD thesis, Universidade Federal de Minas Gerais (UFMG), Belo Horizonte-MG, Brazil.
  5. Jesus, P. C. (1996). Considerac¸ o˜es Metodológicas e Caracterizac¸a˜o de Procedimentos Implicados nas Análises Temporal e Espectral da Variabilidade da Freqüeˆncia Cardíaca para Avaliac¸a˜o Clínica da Func¸ a˜o Autonoˆmica Cardíaca. Master's thesis, Faculdade de Saúde - Universidade de Brasília (FS/UnB), Brasília-DF, Brazil.
  6. Junqueira Jr, L. F., Oliveira, L. C., Pereira, F., Jesus, P. C., and Carvalho, H. (2001). Depressed sympathetic and enhanced parasympathetic reflex responses of heart rate in arterial hypertension. Revista de la Federación Argentina de Cardiología, 30(2):357-358.
  7. Malik, M. and Camm, A. J. (1995). Heart Rate Variability. Futura Publishing Company, Inc., Armonk, NY.
  8. Niskanen, J.-P., Tarvainen, M. P., Ranta-aho, P. O., and Karjalainen, P. A. (2004). Software for advanced HRV analysis. Computer Methods and Programs in Biomedicine, 76(1):73-81.
  9. Peng, C.-K., Havlin, S., Stanley, H. E., and Goldberger, A. L. (1995). Quantification of scaling exponents and crossover phenomena in nonstationary heartbeat time series. Chaos, 5(1):82-87.
  10. Piskorski, J. and Guzik, P. (2007). Geometry of the Poincaré plot of RR intervals and its asymmetry in healthy adults. Physiological Measurement, 28(3):287-300.
  11. Schechtman, V. L., Raetz, S. L., Harper, R. K., Garfinkel, A., Wilson, A. J., Southall, D. P., and Harper, R. (1992). Dynamic analysis of cardiac R-R intervals in normal infants and in infants who subsequently succumbed to the sudden infant death syndrome. Pediatric Research, 31(6):606-612.
  12. Shin, K. S., Minamitani, H., Onishin, S., Yamazaki, H., and Lee, M. H. (1994). The direct power spectral estimation of unevenly sampled cardiac event series. In EMBC'94, 16th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, volume 2, pages 1254-1255.
Download


Paper Citation


in Harvard Style

S. Leite F., F. da Rocha A. and L. A. Carvalho J. (2010). MATLAB SOFTWARE FOR DETRENDED FLUCTUATION ANALYSIS OF HEART RATE VARIABILITY . In Proceedings of the Third International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2010) ISBN 978-989-674-018-4, pages 225-229. DOI: 10.5220/0002713602250229


in Bibtex Style

@conference{biosignals10,
author={Fernanda S. Leite and Adson F. da Rocha and João L. A. Carvalho},
title={MATLAB SOFTWARE FOR DETRENDED FLUCTUATION ANALYSIS OF HEART RATE VARIABILITY},
booktitle={Proceedings of the Third International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2010)},
year={2010},
pages={225-229},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002713602250229},
isbn={978-989-674-018-4},
}


in EndNote Style

TY - CONF
JO - Proceedings of the Third International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2010)
TI - MATLAB SOFTWARE FOR DETRENDED FLUCTUATION ANALYSIS OF HEART RATE VARIABILITY
SN - 978-989-674-018-4
AU - S. Leite F.
AU - F. da Rocha A.
AU - L. A. Carvalho J.
PY - 2010
SP - 225
EP - 229
DO - 10.5220/0002713602250229