Multiresolution Wavelet Analysis of Heartbeat Intervals Discriminates Healthy Patients from Those with Cardiac Pathology
作者： Stefan Thurner , Markus C. Feurstein , Malvin C. Teich
DOI: 10.1103/PHYSREVLETT.80.1544
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摘要: We applied multiresolution wavelet analysis to the sequence of times between human heartbeats ( $R\ensuremath{-}R$ intervals) and have found a scale window, 16 32 heartbeat intervals, over which widths coefficients fall into disjoint sets for normal heart-failure patients. This has enabled us correctly classify every patient in standard data set as belonging either or group with 100% accuracy, thereby providing clinically significant measure presence heart failure from intervals alone. Comparison is made previous approaches, provided only statistically measures.
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