DETECTION OF OBSTRUCTIVE SLEEP APNEA FROM THE FREQUENCY ANALYSIS OF HEART RATE VARIABILITY

Abraham Otero, Xosé Vila, Francisco Palacios, Francisco J. Coves

2010

Abstract

This paper presents a new algorithm for the detection of Obstructive Sleep Apnea (OSA) from a single electrocardiogram lead. It is based on the alterations that OSA patients present in the LF and HF bands of the heart rate variability power spectrum. The algorithm calculates the power of the spectrum in two bands that roughly corresponding with the LF and HF bands. Then the ratio between the power of the low band and the power of the high band is obtained. If this ratio is greater than a certain threshold the patient is classified as having OSA, otherwise he/she is classified as not having OSA. Then the algorithm was validated over the test data set of the Apnea-ECG Database, classifying correctly 29 of 30 recordings.

References

  1. Drinnan, M., Allen, J., Langley, P., and Murray, A. (2000). Detection of sleep apnoea from frequency analysis of heart ratevariability. In Computers in Cardiology 2000, pages 259-262.
  2. Narkiewicz, K., Montano, N., Cogliati, C., van de Borne, P., Dyken, M., and Somers, V. (1998). Altered cardiovascular variability in obstructive sleep apnea. Circulation, 98:1071-1077.
  3. Penzel, T., McNames, J., de Chazal, R., Raymond, B., Murray, A., and Moody, G. (2002). Systematic comparison of different algorithms for apnea detection based on electrocardiogram recordings. Med. Biol. Eng. Comput, 40:402-407.
  4. Penzel, T., Moody, G., Mark, R., Goldberger, A., and Peter, J. (2000). The apnea-ecg database. In Computers in Cardiology 2000, volume 27, pages 255-258.
  5. Presedo, J., Tarascó, M., Teijeiro, T., Félix, P., Castro, D. (2009). A PDA-based modular and multipurpose system for intelligent ubiquitous monitoring. In WISP 2009, pages 223-228.
  6. Vila, J., Palacios, F., Rodríguez-Presedo, J., FernandezDelgado, M., Félix, P., and Barro, S. (1997). Timefrequency analisys of herat-rate variability. IEEE Eng. in medicine and biology magazine, 16:119125.
Download


Paper Citation


in Harvard Style

Otero A., Vila X., Palacios F. and J. Coves F. (2010). DETECTION OF OBSTRUCTIVE SLEEP APNEA FROM THE FREQUENCY 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 359-362. DOI: 10.5220/0002590503590362


in Bibtex Style

@conference{biosignals10,
author={Abraham Otero and Xosé Vila and Francisco Palacios and Francisco J. Coves},
title={DETECTION OF OBSTRUCTIVE SLEEP APNEA FROM THE FREQUENCY 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={359-362},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002590503590362},
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 - DETECTION OF OBSTRUCTIVE SLEEP APNEA FROM THE FREQUENCY ANALYSIS OF HEART RATE VARIABILITY
SN - 978-989-674-018-4
AU - Otero A.
AU - Vila X.
AU - Palacios F.
AU - J. Coves F.
PY - 2010
SP - 359
EP - 362
DO - 10.5220/0002590503590362