Search Results - "Kleiner, H.J."

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    Improved analysis of heart rate variability by methods of nonlinear dynamics by Voss, A., Kurths, J., Kleiner, H.J., Witt, A., Wessel, N.

    Published in Journal of electrocardiology (1995)
    “…The traditional analysis of heart rate variability (HRV) in the time and frequency domains seems to be an independent predictive marker for sudden cardiac…”
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    Journal Article
  3. 3

    The application of methods of non-linear dynamics for the improved and predictive recognition of patients threatened by sudden cardiac death by Voss, A., Kurths, J., Kleiner, H.J., Witt, A., Wessel, N., Saparin, P., Osterziel, K.J., Schurath, R., Dietz, R.

    Published in Cardiovascular research (01-03-1996)
    “…Objectives: This study introduces new methods of non-linear dynamics (NLD) and compares these with traditional methods of heart rate variability (HRV) and high…”
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    Journal Article
  4. 4

    Renormalised entropy: a new method of non-linear dynamics for the analysis of heart rate variability by Wessel, N., Voss, A., Kurths, J., Saparin, P., Witt, A., Kleiner, H.J., Dietz, R.

    Published in Computers in Cardiology 1994 (1994)
    “…Because classical parameters of heart rate variability analysis describe only linear or periodical behaviour, more complex relations cannot be recognised…”
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    Conference Proceeding
  5. 5

    Nonlinear dynamics versus traditional methods of heart rate variability analysis by Voss, A., Kurths, J., Kleiner, H.J., Witt, A., Saparin, P., Dietz, R., Fiehring, H., Wessel, N.

    Published in Computers in Cardiology 1994 (1994)
    “…Non-linear changes in the heart rate are often not detectable using traditional methods of heart rate variability analysis in the time and frequency domain…”
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    Conference Proceeding
  6. 6

    High resolution ECG, heart rate variability and nonlinear dynamics: tools for high risk stratification by Voss, A., Dietz, R., Fiehring, H., Kleiner, H.J., Kurths, J., Saparin, P., Vossing, H.J., Witt, A.

    “…With traditional methods one can detect only 30-40% of patients threatened by sudden cardiac death. Therefore the authors intend to investigate and apply new…”
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    Conference Proceeding