# AN OPEN SOURCE TOOL FOR HEART RATE VARIABILITY WAVELET-BASED SPECTRAL ANALYSIS

### Constantino A. García, Abraham Otero, Xosé Vila, Maria J. Lado

#### Abstract

Heart rate variability (HRV) power spectrum analysis is a well-known technique used to study the activity of the autonomic nervous system. It is performed by calculating the spectral power of certain bands of the RR time series. There are several tools that perform this type of analysis: Kubios HRV, PhysioNet’s HRV toolkit for MatLab and aHRV, among others. All these tools use the Short Fourier Transform to estimate spectral power. However, the RR time series is a non-stationary signal. The Wavelet transform is often a more suitable tool for analyzing non-stationary signals than the Short Time Fourier Transform. Its usefulness in HRV analysis has already been proven in the literature. However, the lack of HRV analysis tools that support it has made this technique underutilized in HRV studies. In this paper we present an extension to the RHRV opensource package that enablesWavelet-based HRV spectral analysis. Until now this package only supported HRV spectral analysis based on the Fourier transform.

#### References

- Akselrod, S., Gordon, D., Ubel, F., Shannon, D., Berger, A., and Cohen, R. (1981). Power spectrum analysis of heart rate fluctuation: a quantitative probe of beat-tobeat cardiovascular control. Science, 213(4504):220.
- Daubechies, I. (2006). Ten lectures on wavelets. Society for industrial and applied mathematics.
- Gabor, D. (1953). Communication theory and physics. Information Theory, IRE Professional Group on, 1(1):48-59.
- Hyndman, B. and Mohn, R. (1973). A pulse modulator model for pacemaker activity. In Digest of the 10th Int. Conf. Med. & Biol. Eng, page 223.
- Kubios (2011). http://kubios.uku.fi.
- Mallat, S. (1989). A theory for multiresolution signal decomposition: The wavelet representation. Pattern Analysis and Machine Intelligence, IEEE Transactions on, 11(7):674-693.
- Mallat, S. (1999). A wavelet tour of signal processing. Second Edition. Academic Pr.
- Matlab (2011). http://www.mathworks.com/index.html.
- Moody, G. and Mark, R. (1990). The MIT-BIH arrhythmia database on cd-rom and software for use with it. In Computers in Cardiology, pages 185-188.
- Nevrokard-aHRV (2011). http://www.nevrokard.eu.
- Percival, D. and Walden, A. (2006). Wavelet methods for time series analysis, volume 4. Cambridge Univ Pr.
- Rodríguez-Lin˜ares, L., Méndez, A., Lado, M., Olivieri, D., Vila, X., and Gómez-Conde, I. (2010). An open source tool for heart rate variability spectral analysis. Computer Methods and Programs in Biomedicine.

#### Paper Citation

#### in Harvard Style

A. García C., Otero A., Vila X. and J. Lado M. (2012). **AN OPEN SOURCE TOOL FOR HEART RATE VARIABILITY WAVELET-BASED SPECTRAL ANALYSIS** . 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 206-211. DOI: 10.5220/0003725002060211

#### in Bibtex Style

@conference{biosignals12,

author={Constantino A. García and Abraham Otero and Xosé Vila and Maria J. Lado},

title={AN OPEN SOURCE TOOL FOR HEART RATE VARIABILITY WAVELET-BASED SPECTRAL ANALYSIS},

booktitle={Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2012)},

year={2012},

pages={206-211},

publisher={SciTePress},

organization={INSTICC},

doi={10.5220/0003725002060211},

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 - AN OPEN SOURCE TOOL FOR HEART RATE VARIABILITY WAVELET-BASED SPECTRAL ANALYSIS

SN - 978-989-8425-89-8

AU - A. García C.

AU - Otero A.

AU - Vila X.

AU - J. Lado M.

PY - 2012

SP - 206

EP - 211

DO - 10.5220/0003725002060211