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- W2085446761 abstract "In this Paper a new approach is proposed for electrocardiogram (ECG) based human identification using wavelet distance measurement. The main advantage of this method is that it guarantees high accuracy even in abnormal cases. Furthermore, it possesses low sensitivity to noise. The algorithm was applied on 11 normal subjects and 10 abnormal subjects of MIT-BIH Database using single lead data, and a 100% human identification rate was on both normal and abnormal subjects. Adding artificial white noise to signals shows that the method is nearly accurate in SNR level above 5dB in normal subjects and 20dB in abnormal subjects." @default.
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- W2085446761 date "2011-10-01" @default.
- W2085446761 modified "2023-09-23" @default.
- W2085446761 title "ECG based human identification using wavelet distance measurement" @default.
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- W2085446761 doi "https://doi.org/10.1109/bmei.2011.6098485" @default.
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