Ingrid Tonhajzerova

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Article

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Tue, 10/02/2018 - 10:02

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Short-term heart rate complexity determined by the PD2i algorithm is reduced in patients with type 1 diabetes mellitus

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References

Javorka M, Trunkvalterova Z, Tonhajzerova I, Javorkova J, Javorka K, Baumert M. Short-term heart rate complexity is reduced in patients with type 1 diabetes mellitus. Clin Neurophysiol 2008; 119:1071–1081.
Skinner JE, Meyer M, Nester BA, et al Comparison of linear-stochastic and nonlinear-deterministic algorithms in the analysis of 15-minute clinical ECGs to predict risk of arrhythmic death. Ther Clin Risk Manag 2009; 5:671–682.

Article PDF

media_1be16b0_S101a.pdf

Author and Disclosure Information

James E. Skinner
Victor Technologies, Inc, Boca Raton, FL

Daniel N. Weiss
Victor Technologies, Inc, Boca Raton, FL

Jerry M. Anchin
Victor Technologies, Inc, Boca Raton, FL

Zuzana Turianikova
Institute of Physiology, Jessenius Faculty of Medicine, Comenius University, Martin, Slovakia

Ingrid Tonhajzerova
Institute of Physiology, Jessenius Faculty of Medicine, Comenius University, Martin, Slovakia

Jana Javorkova
Clinic of Children and Adolescents, Martin Teaching Hospital, Martin, Slovakia

Kamil Javorka
Victor Technologies, Inc, Boca Raton, FL

Mathias Baumert
School of Electrical & Electronic Engineering, The University of Adelaide, Adelaide, Australia

Michal Javorka
Institute of Physiology, Jessenius Faculty of Medicine, Comenius University, Martin, Slovakia

Publications

Cleveland Clinic Journal of Medicine

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S101a

Read more about Short-term heart rate complexity determined by the PD2i algorithm is reduced in patients with type 1 diabetes mellitus

Author(s)

Author(s)

Author and Disclosure Information

James E. Skinner
Victor Technologies, Inc, Boca Raton, FL

Daniel N. Weiss
Victor Technologies, Inc, Boca Raton, FL

Jerry M. Anchin
Victor Technologies, Inc, Boca Raton, FL

Zuzana Turianikova
Institute of Physiology, Jessenius Faculty of Medicine, Comenius University, Martin, Slovakia

Ingrid Tonhajzerova
Institute of Physiology, Jessenius Faculty of Medicine, Comenius University, Martin, Slovakia

Jana Javorkova
Clinic of Children and Adolescents, Martin Teaching Hospital, Martin, Slovakia

Kamil Javorka
Victor Technologies, Inc, Boca Raton, FL

Mathias Baumert
School of Electrical & Electronic Engineering, The University of Adelaide, Adelaide, Australia

Michal Javorka
Institute of Physiology, Jessenius Faculty of Medicine, Comenius University, Martin, Slovakia

Author and Disclosure Information

James E. Skinner
Victor Technologies, Inc, Boca Raton, FL

Daniel N. Weiss
Victor Technologies, Inc, Boca Raton, FL

Jerry M. Anchin
Victor Technologies, Inc, Boca Raton, FL

Zuzana Turianikova
Institute of Physiology, Jessenius Faculty of Medicine, Comenius University, Martin, Slovakia

Ingrid Tonhajzerova
Institute of Physiology, Jessenius Faculty of Medicine, Comenius University, Martin, Slovakia

Jana Javorkova
Clinic of Children and Adolescents, Martin Teaching Hospital, Martin, Slovakia

Kamil Javorka
Victor Technologies, Inc, Boca Raton, FL

Mathias Baumert
School of Electrical & Electronic Engineering, The University of Adelaide, Adelaide, Australia

Michal Javorka
Institute of Physiology, Jessenius Faculty of Medicine, Comenius University, Martin, Slovakia

Article PDF

media_1be16b0_S101a.pdf

Article PDF

media_1be16b0_S101a.pdf

References

Javorka M, Trunkvalterova Z, Tonhajzerova I, Javorkova J, Javorka K, Baumert M. Short-term heart rate complexity is reduced in patients with type 1 diabetes mellitus. Clin Neurophysiol 2008; 119:1071–1081.
Skinner JE, Meyer M, Nester BA, et al Comparison of linear-stochastic and nonlinear-deterministic algorithms in the analysis of 15-minute clinical ECGs to predict risk of arrhythmic death. Ther Clin Risk Manag 2009; 5:671–682.

References

Javorka M, Trunkvalterova Z, Tonhajzerova I, Javorkova J, Javorka K, Baumert M. Short-term heart rate complexity is reduced in patients with type 1 diabetes mellitus. Clin Neurophysiol 2008; 119:1071–1081.
Skinner JE, Meyer M, Nester BA, et al Comparison of linear-stochastic and nonlinear-deterministic algorithms in the analysis of 15-minute clinical ECGs to predict risk of arrhythmic death. Ther Clin Risk Manag 2009; 5:671–682.