A New Tool for the Analysis of Heart Rate Variability of Long Duration Records
Ricardo Chorão, Joana Sousa, Tiago Araújo, Hugo Gamboa
2012
Abstract
The increased masses of data confronting us, originate a pressing need for the creation of a user interface for better handling and extracting knowledge from it. In this work we developed such a tool for the analysis of Heart Rate Variability (HRV). The analysis of HRV in patients with neuromuscular diseases, sleep disorders and cardiorespiratory problems has a strong impact on clinical practice. It has been widely used for monitoring the autonomic nervous system (ANS), whose regulatory effect controls the cardiac activity. These patients need to be continuously monitored, which originates data with huge sizes. Our interactive tool can perform a fast analysis of HRV from such data. It provides the analysis of HRV in time and frequency domains, and from non-linear methods. The tool is suitable to be run in a web environment, rendering it highly portable. It includes a programming feature, which enables the user to perform additional analysis of the data by giving direct access to the signals in a signal processing programming environment. We also added a report generation functionality, which is extremely important from a clinical standpoint, on which the evolution in time of relevant HRV parameters is depicted.
References
- H. Silva, S. Plama, H. Gamboa., 2011. AAL+: Continuous Institutional and Home Care Through Wireless Biosignal Monitoring Systems. Chapter in Handbook of Digital Homecare, Lodewijk Bos, Adrie Dumay, Leonard Goldschmidt, Griet Verhenneman and Kanagasingam Yogesan, Springer.
- J. D. Bronzino., 2000. The biomedical engineering handbook, volume 2. CRC Press. Boca Raton , 2nd edition .D.M. Davenport, FJ Ross, and B. Deb., 2009. Wireless propagation and coexistence of medical body sensor networks for ambulatory patient monitoring. In
- D. M. Davenport, F. J. Ross, and B. Deb., 2009. Wireless propagation and coexistence of medical body sensor networks for ambulatory patient monitoring. In Wearable and Implantable Body Sensor Networks. Sixth InternationalWorkshop on pages 41-45. IEEE, 2009.
- M. L. Ryan, C. M. Thorson, C. A. Otero, T. Vu, and K. G. Proctor., 2011. Clinical applications of heart rate variability in the triage and assessment of traumatically injured patients. Anesthesiology research and practice, 2011.
- A. J. Camm, M. Malik, J. T. Bigger, G. Breithardt, S. Cerutti, R. J. Cohen, P. Coumel, E. L. Fallen, H. L. Kennedy, R. E. Kleiger, et al., 1996. Heart rate variability: standards of measurement, physiological interpretation, and clinical use. Circulation, 93(5):1043-1065.
- PhysioNet - http://physionet.org/tutorials/hrv-toolkit/. Accessed 26/05/2012
- Holzinger, A., 2005. Usability engineering methods for software developers. Communications of the ACM, 48(1):71-74.
- R. Gomes, N. Neuza, J. Sousa, H. Gamboa., 2012. Longterm biosignals visualization and processing. Proceedings of Biosignals - 5th International Conference on Bio-Inspired and Signal Processing (BIOSIGNALS 2012), Vilamoura, Portugal.
- Ricardo Gomes., 2011. Long-term biosignals visualization and processing. Master thesis, Universidade Nova de Lisboa, Faculdade de Ciências e Tecnologia, 2011.
- The hdf group - http://www.hdfgroup.org/why_hdf/. Accessed: 26/05/2012
- PLUX (2012) - http://wicardioresp.plux.info/pt-pt. Accessed: 25/05/2012
- Scipy - http://www.scipy.org/. Accessed: 26/05/2012
- Pan, J. and Tompkins, W. (1985). A real-time qrs detection algorithm. Biomedical Engineering, IEEE Transactions on, (3):230-236.
- Eric P. Widmaier, Hershel Raff, and Kevin T. Strang., 2005. Vander's Human Physiology: The Mechanisms of Body Function. McGraw-Hill International Edition, 10th edition.
Paper Citation
in Harvard Style
Chorão R., Sousa J., Araújo T. and Gamboa H. (2012). A New Tool for the Analysis of Heart Rate Variability of Long Duration Records . In Proceedings of the International Conference on Signal Processing and Multimedia Applications and Wireless Information Networks and Systems - Volume 1: SIGMAP, (ICETE 2012) ISBN 978-989-8565-25-9, pages 215-220. DOI: 10.5220/0004166602150220
in Bibtex Style
@conference{sigmap12,
author={Ricardo Chorão and Joana Sousa and Tiago Araújo and Hugo Gamboa},
title={A New Tool for the Analysis of Heart Rate Variability of Long Duration Records},
booktitle={Proceedings of the International Conference on Signal Processing and Multimedia Applications and Wireless Information Networks and Systems - Volume 1: SIGMAP, (ICETE 2012)},
year={2012},
pages={215-220},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004166602150220},
isbn={978-989-8565-25-9},
}
in EndNote Style
TY - CONF
JO - Proceedings of the International Conference on Signal Processing and Multimedia Applications and Wireless Information Networks and Systems - Volume 1: SIGMAP, (ICETE 2012)
TI - A New Tool for the Analysis of Heart Rate Variability of Long Duration Records
SN - 978-989-8565-25-9
AU - Chorão R.
AU - Sousa J.
AU - Araújo T.
AU - Gamboa H.
PY - 2012
SP - 215
EP - 220
DO - 10.5220/0004166602150220