ANALYSIS OF ECG SIGNALS BY DIVERSE AND COMPOSITE FEATURES

Year 2007, Volume: 7 Issue: 2, 393 - 402, 02.01.2012

Elif Übeyli

Abstract

  

Keywords

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References

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• Elif Derya ÜBEYLİ graduated from Çukurova University in 1996. She took her M.S. degree in 1998, all in electronic engineering. She took her Ph.D. degree from Gazi University, electronics and computer technology.
• Table 2. The power levels of the PSDs obtained by the eigenvector methods of four exemplary records from four classes ECG beat types Extracted Features Pisarenko PSD values values PSD values Normal beat Minimum -63.3942 Mean -29.0350 Standard deviation Maximum 15.4373 Minimum -58.5668 Mean -34.2724 Standard deviation Maximum 8.9680 Minimum -73.2121 Mean -44.5406 Standard deviation Maximum 19.4951 Minimum -62.0746 Mean -39.9064 Standard deviation 6.1429 48.5747 25.5815 6241 8120 54.1374 33.0135 0780 5634 66.8833 43.3792 2899 0237 54.3199 36.4000 9989 1709 4749