Abstract
The subject of investigation is extraction of information from vital signals (ECG, accelerometer, SpO2) and using it in diagnostics and assessment of status of human physiological state and complexity. The aim of this study is presentation of data recording system and the analytical methods designed for analysis of complexity and dynamic interrelations between different signal parameters. The results show that expressing of cardiac signals with Hankel and coherence matrices could be useful for diagnostic purposes.
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Acknowledgements
This study was supported by Agency for International Science and Technology Development Programs in Lithuania, project ITEA2 08018 GUARANTEE.
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Bikulčienė, L., Venskaitytė, E., Gargasas, L., Jurkonis, V. (2013). The Measure of Human Vital Signals Complexity by Matrix Analysis. In: Stavrinides, S., Banerjee, S., Caglar, S., Ozer, M. (eds) Chaos and Complex Systems. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33914-1_63
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DOI: https://doi.org/10.1007/978-3-642-33914-1_63
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