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  • 标题:Peculiarities of Multivariate Analysis Based Methods for Detection and Evaluation of ECG T-wave Alternans
  • 本地全文:下载
  • 作者:Krakauskaite ; Simoliuniene ; Petrolis
  • 期刊名称:Studies About Languages
  • 印刷版ISSN:2029-7203
  • 出版年度:2013
  • 卷号:19
  • 期号:9
  • 页码:85-88
  • DOI:10.5755/j01.eee.19.9.5655
  • 语种:English
  • 出版社:Faculty of Humanities, Kaunas University of Technology
  • 其他摘要: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
  • 关键词:Principal component analysis;periodic component analysis;ECG T-wave alternans
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