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Die Schlaganfall Risiko Analyse basiert auf einer Reihe von mathematischen und physikalischen Entwicklungen der letzten 5 -10 Jahre. Eine kleine Auswahl ist auf dieser Seite zusammengestellt.
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- R. Acharya U, A. Kumar, P. S. Bhat, C. M. Lim, S.S. Iyengar, N. Kannathal, S. M. Krishnan
Classification of cardiac abnormalities using heart rate signals Med.Biol.Eng.Comput.,(2004) 42, S. 288-293
- M. Costa, A. L. Goldberger, C.-K. Peng
Multiscale entropy analysis of biological signals Physical Review E (2005) 71, 021906
- M. Marks, R. Reinhardt, T. Hepp, H. Heuer
Stroke prevention by an improved identification of paroxysmal atrial fibrillation with a new algorithm from a one hour ECG recording European Journal of Cardiovascular Prevention and Rehabilitation (2006); 13, Suppl.1, S. 68
- A. Pathak, P. Harwardt, R. Reinhardt, S. Arrenbrecht, J.M. Senard, M. Galinier
Prognostic value for cardiac death of a novel micro-time-domain heart rate variability parameter compactness alone and in conjunction with conventional HRV parameters in CHF patients European Heart Journal (2004), 25; Suppl. 1, S. 3361
- G. Schmidt, G. E. Morfill
Complexity Diagnostics in Cardiology: Fundamental Consideration PACE (1994), 17, S. 1174-1177
- G. Schmidt, G. E. Morfill
Complexity Diagnostics in Cardiology: Methods PACE (1994), 17, S. 2336-2341
- A.J.E. Seely, P. T. Macklem
Complex Systems and technology of variability analysis Critical Care (2004);8; S. 367-R384
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