Statistical Analysis of Human Heart Rhythm with Increased Informativeness
| Autor: | Łukasz Sobaszek, Serhii Lupenko, O. Yasniy, Nadiia Lutsyk |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
medicine.medical_specialty
diagnosis Computer science Mechanical Engineering Mechanics of engineering. Applied mechanics Human heart heart rhythm TA349-359 030204 cardiovascular system & hematology 03 medical and health sciences information system 0302 clinical medicine Rhythm statistical analysis Control and Systems Engineering Internal medicine Cardiology medicine Statistical analysis mathematical model 030217 neurology & neurosurgery |
| Zdroj: | Acta Mechanica et Automatica, Vol 12, Iss 4, Pp 311-315 (2018) |
| ISSN: | 2300-5319 |
| DOI: | 10.2478/ama-2018-0047 |
| Popis: | The new methods of statistical analysis of heart rhythm were developed based on its generalized mathematical model in a form of random rhythm function, that allows to increase the informativeness and detailed analysis of heart rhythm in cardiovascular information systems. Three information criteria (BIC, AIC and AICc) were used to determine the cumulative distribution functions that best describe the sample and to assess the unknown parameters of distributions. The usage of the rhythm function to analyse heart rhythm allows to consider much better its time structure that is the basis to improve the accuracy of diagnosis of cardiac rhythm. |
| Databáze: | OpenAIRE |
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