HEART RATE VARIABILITY IN SIESTA POLYSOMNOGRAMS - A Preliminary Study

Xosé A. Vila, Arturo J. Méndez, Abraham Otero, Leandro Rodríguez-Liñares, María J. Lado

Abstract

Nowadays, sleep apnea is a disease with a high prevalence. Its diagnosis requires to admit the patient in a hospital sleep unit and to conduct a polysomnography during the night. For this reason, many efforts have been devoted to alternative techniques to diagnose apnea from other signals, such as ECG or oxygen saturation, easier to obtain outside a hospital. The aim of this work is to investigate if these recordings behave similar to overnight ECGs.This paper presents the results of a small study (only 7 patients) conducted on short naps using heart rate variability (HRV) parameters. The results indicate that the spectral parameters are different for obstructive sleep apnea (OSA) and healthy patients. Relationship with the apnea/hypoapnea index (AHI) was also different. This is a promising starting point for more extensive studies in the future.

References

  1. Brindle, R. and Conklin, S. (2011). Daytime sleep accelerates cardiovascular recovery after psychological stress. Int J Behav Med (published online).
  2. Drinnan, M., Allen, J., Langley, P., and Murray, A. (2000). Detection of sleep apnoea from frequency analysis of heart rate variability. In Computers in Cardiology 2000, pages 259-262.
  3. Gula, L. J., Krahn, A. D., Skanes, A., Ferguson, K. A., George, C., Yee, R., and Klein, G. J. (2003). Heart rate variability in obstructive sleep apnea: a prospective study and frequency domain analysis. Ann Noninvas Electro, 8(2):144-149.
  4. Günes, S., Polat, K., and Yosunkaya, S. (2010). Multi-class f-score feature selection approach to classification of obstructive sleep apnea syndrome. Expert Syst Appl, 37(2):998 - 1004.
  5. Korman, M., Doyon, J., Doljansky, J., Carrier, J., Dagan, Y., and Karni, A. (2007). Daytime sleep condenses the time course of motor memory consolidation. Nat Neurosci, 10(9):1206-1213.
  6. Moody, G., Mark, R., Goldberger, A., and Penzel, T. (2000). Stimulating rapid research advances via focused competition: the computers in cardiology challenge 2000. In Computers in Cardiology 2000, volume 27, pages 207-210. Ieee.
  7. Otero, A., Dapena, S. F., Félix, P., Presedo, J., and Tarasco, M. (2009). A low cost screening test for obstructive sleep apnea that can be performed at the patient's home. In Proceedings IEEE ISP, pages 199-204.
  8. Otero, A., Félix, P., and Í lvarez, M. (2011). Algorithms for the analysis of polysomnographic recordings with customizable criteria. Expert Syst Appl, 38(8):10133 - 10146.
  9. Park, D.-H., Shin, C.-J., Hong, S.-C., Yu, J., Ryu, S.-H., Kim, E.-J., Shin, H.-B., and Shin, B.-H. (2008). Correlation between the severity of obstructive sleep apnea and heart rate variability indices. J Korean Med Sci, 23(2):226-231.
  10. Penzel, T., Kantelhardt, J. W., Grote, L., Peter, J.-H., and Bunde, A. (2003). Comparison of detrended fluctuation analysis and spectral analysis for heart rate variability in sleep and sleep apnea. In IEEE Trans Biomed Eng, volume 50, pages 1143-1151.
  11. Roche, F., Pichot, V., Sforza, E., Court-Fortune, I., Duverney, D., Costes, F., Garet, M., and Barthélémy, J. C. (2003). Predicting sleep apnoea syndrome from heart period: a time-frequency wavelet analysis. Eur Respir J, 22(6):937-942.
  12. Rodríguez-Lin˜ares, L., Méndez, A., Lado, M., Olivieri, D., Vila, X., and Gómez-Conde, I. (2011). An open source tool for heart rate variability spectral analysis. Comput Meth Prog Bio, 103(1):39 - 50.
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Paper Citation


in Harvard Style

A. Vila X., J. Méndez A., Otero A., Rodríguez-Liñares L. and J. Lado M. (2012). HEART RATE VARIABILITY IN SIESTA POLYSOMNOGRAMS - A Preliminary Study . In Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2012) ISBN 978-989-8425-89-8, pages 334-337. DOI: 10.5220/0003735703340337


in Bibtex Style

@conference{biosignals12,
author={Xosé A. Vila and Arturo J. Méndez and Abraham Otero and Leandro Rodríguez-Liñares and María J. Lado},
title={HEART RATE VARIABILITY IN SIESTA POLYSOMNOGRAMS - A Preliminary Study},
booktitle={Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2012)},
year={2012},
pages={334-337},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003735703340337},
isbn={978-989-8425-89-8},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2012)
TI - HEART RATE VARIABILITY IN SIESTA POLYSOMNOGRAMS - A Preliminary Study
SN - 978-989-8425-89-8
AU - A. Vila X.
AU - J. Méndez A.
AU - Otero A.
AU - Rodríguez-Liñares L.
AU - J. Lado M.
PY - 2012
SP - 334
EP - 337
DO - 10.5220/0003735703340337