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- W2390843971 abstract "Concerning the low accuracy and easily being interfered by noise of ECG diagnosis of ST-segment,a ST-segment detection algorithm based on least-square polynomial fitting was proposed.Firstly QRS complex was detected by dyadic spline wavelet through Mallat algorithm,then the characteristic points such as T wave,onset of QRS complex,J point,onset of T wave were detected.These characteristic points were used to judge the direction of ST-segment,and then the ST-segment was classified into line type and curve type,finally the slope of line type ST segment and concavo-convex direction of curve type ST-segment were determined through using polynomial fitting algorithm.This algorithm was certified by the simulation experiment on the signals of MIT-BIH database,and the accuracy of ST-segment shape recognition was more than 90%.The experimental results show that the algorithm reduces the noise interference of characteristic detection of ST-segment,and improves the accuracy of ST-segment detection." @default.
- W2390843971 created "2016-06-24" @default.
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- W2390843971 date "2011-01-01" @default.
- W2390843971 modified "2023-09-26" @default.
- W2390843971 title "Shape recognition algorithm for ST-segment of ECG signal" @default.
- W2390843971 hasPublicationYear "2011" @default.
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