Abstract
Heart Rate (HR) and Heart Rate Variability (HRV) are recognized and used in identifying and diagnosing different psychological conditions. HRV is also frequently used for diagnosing and monitoring autonomous nervous system. In this paper we propose a tool for analyzing HR and HRV in time and frequency domain, and using geometric analyses as Poincare plots for visualization. Implemented tool is designed to accommodate requirements of contemporary research in this area and extended for comparative analysis of sets of measurements. Case study analyzing correlation between HR measurements and stress levels for students before and after an exam is conducted. Measurements are used to illustrate the benefits of using the tool in creating and managing sets of measurements and their comparative 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
Preview
Unable to display preview. Download preview PDF.
References
Task Force of The European Society of Cardiology and The North American Society of Pacing and Electrophysiology: Heart Rate Variability, Standards of measurement, physiological interpretation, and clinical use. European Heart Journal 17, 354–381(1996)
Sacha, J.: Interplay between heart rate and its variability: a prognostic game. Front. Physiol. 5:347. doi: 10.3389/fphys.2014.00347 (2014)
Bravi, A., Longtin, A., Seely, A.J.E.: Review and classification of variability analysis techniques with clinical applications. BioMedical Engineering OnLine 10(1):90 (2011)
Piskorski, J., Guzik.P.: Geometry of the Poincare plot of RR intervals and its asymmetry in healty adults. Physiol. Meas. 28, 287-300 (2007)
Khandoker, A.H. et al.: Poincare Plot Methods for Heart Rate Variability Analysis, Springer (2013)
Tarvainen, M. P., Niskanen, J. P., Lipponen, J. A., Ranta-Aho, P. O., Karjalainen, P. A.: Kubios HRV–heart rate variability analysis software. Computer methods and programs in biomedicine, 113(1), 210-220, (2014)
Rodríguez-Liñares, L., Lado, M.J., Vila, X.A., Méndez, A.J., Cuesta, P.: gHRV: Heart rate variability analysis made easy. Computer methods and programs in biomedicine. 116(1), 26-38, (2014)
Rawal, K., Saini, I.: Comparative Analysis of Measuring Heart Rate Variability during Different Phases of Menstrual Cycle in Young Healthy Women. International Journal of Information and Electronics Engineering, 4(1), 62, (2014)
Zhu, J., He, W., Yang, H.: Comparative analysis of heart rate variability between healthy and morbid group based on correlation dimension. In 2008 2nd International Conference on Bioinformatics and Biomedical Engineering, IEEE, 2252-2255, (2008)
Boonnithi, S., Phongsuphap, S.: Comparison of heart rate variability measures for mental stress detection. In 2011 Computing in Cardiology, IEEE, 85-88, (2011)
PASCO. 2016. PASCO Capstone Software: PASCO. [online] Available at: https://www.pasco.com/prodMulti/pasco-capstone-software/index.cfm. [Accessed 8 October 2016].
PASCO. 2016. PASPORT Hand Grip Rate Sensor - PS-2186: PASCO. [online] Available at: https://www.pasco.com/prodCatalog/PS/PS2186pasport-hand-grip-heart-rate-sensor. [Accessed 8 October 2016].
PASCO. 2016. 550 Universal Interface - UI-5001: PASCO. [online] Available at: https://www.pasco.com/prodCatalog/UI/UI-5001550-universalinterface/index.cfm. [Accessed 8 October 2016].
GitHub. HarisAckar/Application-for-HRV-analysis. [online] Available at: https://github.com/HarisAckar/Application-for-HRV-analysis. [Accessed 20December 2016].
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2017 Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Ackar, H., Kico, I., Tahirbegovic, A., Boskovic, D. (2017). Tool for Comparative Case Studies of Heart Rate and Heart Rate Variability. In: Badnjevic, A. (eds) CMBEBIH 2017. IFMBE Proceedings, vol 62. Springer, Singapore. https://doi.org/10.1007/978-981-10-4166-2_74
Download citation
DOI: https://doi.org/10.1007/978-981-10-4166-2_74
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-10-4165-5
Online ISBN: 978-981-10-4166-2
eBook Packages: EngineeringEngineering (R0)