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- W2810080288 abstract "J wave is the bulge generated in the descending slope of the terminal portion of the QRS complex in the electrocardiogram. The presence of J wave may lead to sudden death. However, the diagnosis of J wave variation only depends on doctor’s clinical experiences at present and missed diagnosis is easy to occur. In this paper, a new method is proposed to realize the automatic detection of J wave. First, the synchrosqueezed wavelet transform is used to obtain the precise time-frequency information of the ECG. Then, the inverse transformation of SST is computed to get the intrinsic mode function of the ECG. At last, the time-frequency features and SST-based and the entropy features based on modes are fed to Random forest to realize the automatic detection of J wave. As the experimental results shown, the proposed method has achieved the highest accuracy, sensitivity, and specificity compared with existing techniques." @default.
- W2810080288 created "2018-07-10" @default.
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- W2810080288 date "2018-07-03" @default.
- W2810080288 modified "2023-10-17" @default.
- W2810080288 title "Autodetection of J Wave Based on Random Forest with Synchrosqueezed Wavelet Transform" @default.
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- W2810080288 doi "https://doi.org/10.1155/2018/1315357" @default.
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