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Sequence distance via parsing complexity: Heartbeat signals

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  • Degli Esposti, M.
  • Farinelli, C.
  • Menconi, G.

Abstract

We compare and discuss the use of different symbolic codings of electrocardiogram (ECG) signals in order to distinguish healthy patients from hospitalized ones. To this aim, we recall a parsing-based similarity distance and compare the performances of several methods of classification of data.

Suggested Citation

  • Degli Esposti, M. & Farinelli, C. & Menconi, G., 2009. "Sequence distance via parsing complexity: Heartbeat signals," Chaos, Solitons & Fractals, Elsevier, vol. 39(3), pages 991-999.
  • Handle: RePEc:eee:chsofr:v:39:y:2009:i:3:p:991-999
    DOI: 10.1016/j.chaos.2007.03.005
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    References listed on IDEAS

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    1. Cammarota, Camillo & Rogora, Enrico, 2005. "Independence and symbolic independence of nonstationary heartbeat series during atrial fibrillation," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 353(C), pages 323-335.
    2. Makowiec, Danuta & Gała¸ska, Rafał & Dudkowska, Aleksandra & Rynkiewicz, Andrzej & Zwierz, Marcin, 2006. "Long-range dependencies in heart rate signals—revisited," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 369(2), pages 632-644.
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