Abstract
This paper describes our developed EKGanalyzer software tool for displaying, analyzing and processing of electrocardiogram (ECG) data. The said application enables plotting single-channel or multi-channel ECG data stored on hard drive. It is also possible to display online progress of ECG from patient monitor DASH 4000. Tools for signal filtration, interactive intervals and segment measurements and automatic R wave detection are implemented within the application and are also presented in this paper. The application allows analysis of heart rate variability, a relatively new method for evaluating proper autonomic nervous system (ANS) functioning. Analysis of heart rate variability (HRV) is based on time-domain methods (SDNN, RMSSD, pNN50, HR and mean HR) and methods of nonlinear dynamics (ApEn, 0V%, 1V%, 2LV%, 2UV%, Porta index, Guzik index, Ehlers index). EKGanalyzer is especially suitable for quick ECG data processing and analysis.
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Babusiak, B., Gala, M. (2016). Software Tool for Processing and Analysis of ECG Signal. In: Kyriacou, E., Christofides, S., Pattichis, C. (eds) XIV Mediterranean Conference on Medical and Biological Engineering and Computing 2016. IFMBE Proceedings, vol 57. Springer, Cham. https://doi.org/10.1007/978-3-319-32703-7_38
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DOI: https://doi.org/10.1007/978-3-319-32703-7_38
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