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International Conference on ICT Innovations

ICT Innovations 2012: ICT Innovations 2012 pp 315–324Cite as

Mobile Users ECG Signal Processing

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 207))

Abstract

In recent years we have witnessed the growth of a number of multimedia, health, cognitive learning, gaming user applications which include monitoring and processing of the users’ physiological signals, also termed biosignals or vital signs. The acquisition of the biosignals should be non-invasive and should not affect the activities and arousal of the user to achieve relevant results. Developments in mobile devices, e.g. smartphones, tablet PCs, etc. and electrode design have enabled unobtrusive acquisition and processing of biosignals, especially for mobile and non-clinical applications. The paper reviews recently developed non-clinical applications that exploit biosignal information. The paper analyses challenges for digital signal processing that arise from data acquisition from the mobile user are presented with focus on the electrocardiogram (ECG). Influence of the analysed challenges is demonstrated on a selected QRS detection algorithm by using signals from the MIT-BIH Noise stress test database (nstdb). Results confirm that algorithms for processing signals of mobile users need a more thorough preprocessing procedure as opposed to simple band-pass filtering.

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Author information

Authors and Affiliations

  1. Faculty of Electrical Engineering, University of Ljubljana, Trzaska cesta 25, 1000, Ljubljana, Slovenia

    Emil Plesnik & Matej Zajc

Authors
  1. Emil Plesnik
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  2. Matej Zajc
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Corresponding author

Correspondence to Emil Plesnik .

Editor information

Editors and Affiliations

  1. , Faculty of Computer Science, Ss Cyrill and Methodius University, Ruger Boskovic 16, POBox 393, Skopje, 1000, Macedonia

    Smile Markovski

  2. , Faculty of Information Sciences, Ss Cyrill and Methodius University, Ruger Boskovic 16, Skopje, 1000, Macedonia

    Marjan Gusev

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Plesnik, E., Zajc, M. (2013). Mobile Users ECG Signal Processing. In: Markovski, S., Gusev, M. (eds) ICT Innovations 2012. ICT Innovations 2012. Advances in Intelligent Systems and Computing, vol 207. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-37169-1_31

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  • DOI: https://doi.org/10.1007/978-3-642-37169-1_31

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-37168-4

  • Online ISBN: 978-3-642-37169-1

  • eBook Packages: EngineeringEngineering (R0)

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