Abstract
Cardiac resynchronization therapy (CRT) is an accepted therapeutic option in heart failure treatment. Before the treatment it is necessary to have sufficient information about electrical and mechanical dyssynchrony at each patient. In a joint project of CTU and University Hospital Motol in Prague, data from several modalities are collected and analyzed. In the paper we focus on data preprocessing from multichannel ECG. In particular, we describe in detail the filtration step, as the original signals were contaminated by various artefacts and noise. The aim is to have the signals as clean as possible and preserving the useful information for the analysis.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Abraham WT, Fisher WG, Al Smith et al (2002) Cardiac resynchronization in chronic heart failure. N Engl J Med 346(24):1845–1853
Cleland JG, Daubert JC, Erdmann E et al (2005) The effect of cardiac resynchronization on morbidity and mortality in heart failure. N Engl J Med 352(15):1539–1549
Bristow MR, Saxon LA, Boehmer J, et al (2004) Comparison of Medical Therapy, Pacing and Defibrillation in Heart Failure Investigators. Cardiac resynchronization therapy with or without an implantable defibrillator in advanced chronic heart failure. N Eng J Med 350:2140–2150
Brignole M, Auricchio A, Baron-Esquivias G, et al (2013) ESC guidelines on cardiac pacing and cardiac resynchronization therapy: the task force on cardiac pacing and resynchronization therapy of the European Society of Cardiology (ESC). Developed in collaboration with the European Heart Rhythm Association (EHRA). Eur Heart J 34:2281–2329
Giffard-Roisin ST, Jackson L, Fovargue et al (2017) Noninvasive personalization of a cardiac electrophysiology model from body surface potential mapping, IEEE Trans Biomed Eng 64(9):2206–2218
Wang Y, Yoram R (2006) Application of the method of fundamental solutions to potential-based inverse electrocardiography. Ann Biomed Eng 34(8):1272–1288
Taji B, Shirmohammadi S, Groza V, Batkin I (2014) Impact of skin-electrode interface on electrocardiogram measurements using conductive textile electrodes. IEEE Trans Instrum Meas 63(6):1412–1422
Buendía-Fuentes F, Arnau-Vives MA, Arnau-Vives A et al (2012) High-bandpass filters in electrocardiography: source of error in the interpretation of the ST segment, ISRN cardiology, vol. 2012, pp 706217
Acknowledgements
The research is supported by the project No. 15-31398A “Features of Electromechanical Dyssynchrony that Predict Effect of Cardiac Resynchronization Therapy” of the Agency for Health Care Research of the Czech Republic and by CVUT institutional resources (SGS grant application No. OHK4-019/17).
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Ethics declarations
The authors declare that they have no conflict of interest.
Rights and permissions
Copyright information
© 2018 Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Hrachovina, M., Lhotská, L., Huptych, M. (2018). Preprocessing and Filtration Techniques of BSPM Signals in a Small-Scale Study. In: Maglaveras, N., Chouvarda, I., de Carvalho, P. (eds) Precision Medicine Powered by pHealth and Connected Health. ICBHI 2017. IFMBE Proceedings, vol 66. Springer, Singapore. https://doi.org/10.1007/978-981-10-7419-6_22
Download citation
DOI: https://doi.org/10.1007/978-981-10-7419-6_22
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-10-7418-9
Online ISBN: 978-981-10-7419-6
eBook Packages: EngineeringEngineering (R0)