Peculiarities of multivariate analysis based methods for detection and evaluation of ECG T-wave alternans
| Autor: | Krakauskaite, S., Šimoliūnienė, Renata, Petrolis, Robertas, Kriščiukaitis, Algimantas, Kauno technologijos universitetas |
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| Jazyk: | angličtina |
| Rok vydání: | 2013 |
| Předmět: |
Normalization (statistics)
Diagnostic information Multivariate analysis Periodic component analysis business.industry Principal component analysis Pattern recognition T wave alternans ECG T-wave alternans Component analysis Statistics Bicubic interpolation 616.12-073.97 [udc] Artificial intelligence Electrical and Electronic Engineering business Mathematics |
| Zdroj: | Elektronika ir elektrotechnika, Kaunas : Technologija, 2013, Vol. 19, no. 9, p. 85-88 |
| ISSN: | 1392-1215 2029-5731 |
| DOI: | 10.5755/j01.eee.19.9.5655 |
| Popis: | Two multivariate analysis methods based on Principal Component Analysis and Periodic Component Analysis designed for detection and evaluation of ECG T-wave alternans were tested on synthetic and clinical recordings in the aim to reveal their diagnostic features. Advanced data pre-processing including normalization of S-T,T segment duration by means of bicubic interpolation was used to increase methods reliability. Non-visible variations in shape of S-T,T segment were revealed by means of the methods in the recordings registered in severe cardiac situations. Results lead to the idea, that analysis of T-wave alternans could be used not only for prevention of critical cardiac situations, but give valuable additional diagnostic information about status of cardiologic patients during ordinary examination. DOI: http://dx.doi.org/10.5755/j01.eee.19.9.5655 |
| Databáze: | OpenAIRE |
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